2021.6.14 Learning papers

06-09-2021	Adaptive machine learning for protein engineering by Brian L. Hie et al
06-08-2021	Learning Markov State Abstractions for Deep Reinforcement Learning by Cameron Allen et al
06-08-2021	Adaptive Machine Unlearning by Varun Gupta et al
06-08-2021	Conditional Deep Inverse Rosenblatt Transports by Tiangang Cui et al
06-09-2021	Deep Clustering based Fair Outlier Detection by Hanyu Song et al
06-09-2021	Efficient Active Search for Combinatorial Optimization Problems by André Hottung et al
06-09-2021	Long-time integration of parametric evolution equations with physics-informed DeepONets by Sifan Wang et al
06-09-2021	Scaling Up Graph Neural Networks Via Graph Coarsening by Zengfeng Huang et al
06-09-2021	Diffusion Source Identification on Networks with Statistical Confidence by Quinlan Dawkins et al
06-09-2021	Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline by Ankit Goyal et al
06-09-2021	Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions by Stefanos Laskaridis et al
06-08-2021	Cyberbullying Detection Using Deep Neural Network from Social Media Comments in Bangla Language by Md Faisal Ahmed et al
06-08-2021	Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation by Emmanuel Bengio et al
06-08-2021	Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing by Mikhail Khodak et al
06-08-2021	A Bagging and Boosting Based Convexly Combined Optimum Mixture Probabilistic Model by Mian Arif Shams Adnan et al
06-11-2021	Deep Conditional Gaussian Mixture Model for Constrained Clustering by Laura Manduchi et al
06-11-2021	What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data by Yang Hu et al
06-10-2021	dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System by Yang Guo et al
06-11-2021	Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems by Benoît Malézieux et al
06-10-2021	Sparse Bayesian Learning via Stepwise Regression by Sebastian Ament et al
06-10-2021	Neural Optimization Kernel: Towards Robust Deep Learning by Yueming Lyu et al
06-10-2021	Graph Neural Networks for Natural Language Processing: A Survey by Lingfei Wu et al
06-10-2021	Meta-Adaptive Nonlinear Control: Theory and Algorithms by Guanya Shi et al
06-10-2021	A multi-objective perspective on jointly tuning hardware and hyperparameters by David Salinas et al
06-11-2021	Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation by Xuanli He et al
06-10-2021	End-to-end lung nodule detection framework with model-based feature projection block by Ivan Drokin et al
06-11-2021	HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions by Liwei Deng et al
06-11-2021	Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing by Tomi Kinnunen et al
06-08-2021	NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs by Enyan Dai et al
06-08-2021	Labeled Data Generation with Inexact Supervision by Enyan Dai et al
06-08-2021	FastSeq: Make Sequence Generation Faster by Yu Yan et al
06-10-2021	GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings by Matthias Fey et al
06-08-2021	Self-supervised Graph-level Representation Learning with Local and Global Structure by Minghao Xu et al
06-09-2021	Reinforcement Learning for Industrial Control Network Cyber Security Orchestration by John Mern et al
06-10-2021	Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation by Minghao Zhang et al
06-09-2021	Operationalizing Complex Causes: A Pragmatic View of Mediation by Limor Gultchin et al
06-08-2021	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression by Laetitia Chapel et al
06-08-2021	Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles by Ayoosh Bansal et al
06-09-2021	Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods by Brett Daley et al
06-08-2021	A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs by Gadi Naveh et al
06-08-2021	RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting by Nils Thoma et al
06-08-2021	Understanding (Generalized) Label Smoothing when Learning with Noisy Labels by Jiaheng Wei et al
06-09-2021	Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids by Bruno Roy et al
06-09-2021	A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs by Runzhong Wang et al
06-09-2021	Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization by Léo Andéol et al
06-09-2021	Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data by Benjamin Maschler et al
06-09-2021	A general approach for Explanations in terms of Middle Level Features by Andrea Apicella et al
06-09-2021	Attentional meta-learners are polythetic classifiers by Ben Day et al
06-09-2021	Phase Retrieval using Single-Instance Deep Generative Prior by Kshitij Tayal et al
06-09-2021	ChaCha for Online AutoML by Qingyun Wu et al
06-09-2021	Contextual Recommendations and Low-Regret Cutting-Plane Algorithms by Sreenivas Gollapudi et al
06-09-2021	Bayesian Attention Belief Networks by Shujian Zhang et al
06-08-2021	Automatic Generation of Machine Learning Synthetic Data Using ROS by Kyle M. Hart et al
06-10-2021	Learnable Hypergraph Laplacian for Hypergraph Learning by Jiying Zhang et al
06-09-2021	Neighborhood Contrastive Learning Applied to Online Patient Monitoring by Hugo Yèche et al
06-08-2021	A Deep Value-network Based Approach for Multi-Driver Order Dispatching by Xiaocheng Tang et al
06-11-2021	Inter-domain Multi-relational Link Prediction by Luu Huu Phuc et al
06-08-2021	Towards Practical Credit Assignment for Deep Reinforcement Learning by Vyacheslav Alipov et al
06-08-2021	OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices by Stylianos I. Venieris et al
06-08-2021	ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain by Shangdi Yu et al
06-09-2021	Avoiding Traps in Nonconvex Problems by Sean Deyo et al
06-09-2021	Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games by Xiangyu Liu et al
06-08-2021	Fast Federated Learning in the Presence of Arbitrary Device Unavailability by Xinran Gu et al
06-08-2021	PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning by Tao Yu et al
06-08-2021	Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation by Zhekai Du et al
06-08-2021	Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss by Jeff Z. HaoChen et al
06-09-2021	Mode recovery in neural autoregressive sequence modeling by Ilia Kulikov et al
06-09-2021	Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip by Xindi Hu et al
06-09-2021	Graph Symbiosis Learning by Liang Zeng et al
06-10-2021	View Generalization for Single Image Textured 3D Models by Anand Bhattad et al
06-09-2021	Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units by Sara Meftah et al
06-09-2021	A Unified Framework for Task-Driven Data Quality Management by Tianhao Wang et al
06-09-2021	Attacking Adversarial Attacks as A Defense by Boxi Wu et al
06-09-2021	CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows by Claudius Krause et al
06-09-2021	Probabilistic task modelling for meta-learning by Cuong C. Nguyen et al
06-09-2021	EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models by Qi Ma et al
06-11-2021	Nonmyopic Multifidelity Active Search by Quan Nguyen et al
06-10-2021	Leveraged Weighted Loss for Partial Label Learning by Hongwei Wen et al
06-10-2021	The Medical Segmentation Decathlon by Michela Antonelli et al
06-10-2021	Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics by Carles Domingo-Enrich et al
06-09-2021	DIGRAC: Digraph Clustering with Flow Imbalance by Yixuan He et al
06-09-2021	Fine-Grained System Identification of Nonlinear Neural Circuits by Dawna Bagherian et al
06-08-2021	LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification by Philip Sellars et al
06-10-2021	Identifiability of interaction kernels in mean-field equations of interacting particles by Quanjun Lang et al
06-10-2021	GBHT: Gradient Boosting Histogram Transform for Density Estimation by Jingyi Cui et al
06-08-2021	The Fast Kernel Transform by John Paul Ryan et al
06-08-2021	Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions by Daniel Rosenberg et al
06-08-2021	Sketch-Based Streaming Anomaly Detection in Dynamic Graphs by Siddharth Bhatia et al
06-08-2021	There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning by Nathan Grinsztajn et al
06-11-2021	Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation by Xiaohui Chen et al
06-08-2021	Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels by Dai Hai Nguyen et al
06-11-2021	Feature Selection Tutorial with Python Examples by Padraig Cunningham et al
06-08-2021	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation by David Berthelot et al
06-08-2021	Supervised Machine Learning with Plausible Deniability by Stefan Rass et al
06-11-2021	Continuous Herded Gibbs Sampling by Laura M. Wolf et al
06-11-2021	JKOnet: Proximal Optimal Transport Modeling of Population Dynamics by Charlotte Bunne et al
06-10-2021	Understanding the Under-Coverage Bias in Uncertainty Estimation by Yu Bai et al
06-08-2021	Multi-dataset Pretraining: A Unified Model for Semantic Segmentation by Bowen Shi et al
06-09-2021	Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners by Vaikkunth Mugunthan et al
06-08-2021	Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations? by Thierry Deruyttere et al

06-09-2021	Rethink Transfer Learning in Medical Image Classification by Le Peng et al
06-10-2021	Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands by Bassel Al Homssi et al
06-08-2021	Time-series Imputation of Temporally-occluded Multiagent Trajectories by Shayegan Omidshafiei et al
06-09-2021	Multiple Kernel Representation Learning on Networks by Abdulkadir Celikkanat et al
06-10-2021	Thompson Sampling with a Mixture Prior by Joey Hong et al
06-09-2021	Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System by Zichuan Lin et al
06-10-2021	A concise method for feature selection via normalized frequencies by Song Tan et al
06-11-2021	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior by Sang-gil Lee et al
06-10-2021	Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition by Shengyang Sun et al
06-09-2021	Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields by Wang Yifan et al
06-09-2021	Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks by Mario Lino et al
06-11-2021	Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning by Eugene Belilovsky et al
06-10-2021	Fairness for Cooperative Multi-Agent Learning with Equivariant Policies by Niko A. Grupen et al
06-11-2021	LocoProp: Enhancing BackProp via Local Loss Optimization by Ehsan Amid et al
06-09-2021	Matrix Completion with Model-free Weighting by Jiayi Wang et al
06-09-2021	Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study by Tamali Banerjee et al
06-09-2021	Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems by Yinan Zhang et al
06-10-2021	Vertical Federated Learning without Revealing Intersection Membership by Jiankai Sun et al
06-09-2021	Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding by Narjes Nikzad-Khasmakhi et al
06-08-2021	NWT: Towards natural audio-to-video generation with representation learning by Rayhane Mama et al
06-08-2021	Meta Learning for Knowledge Distillation by Wangchunshu Zhou et al
06-08-2021	Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading by Hoang Van et al
06-08-2021	Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention by Zixuan Peng et al
06-09-2021	A Central Limit Theorem, Loss Aversion and Multi-Armed Bandits by Zengjing Chen et al
06-10-2021	An Ensemble Approach Towards Adversarial Robustness by Haifeng Qian
06-08-2021	Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems by Yinchong Yang et al
06-09-2021	Understanding Softmax Confidence and Uncertainty by Tim Pearce et al
06-09-2021	The dilemma of quantum neural networks by Yang Qian et al
06-09-2021	Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning by Xutong Liu et al
06-09-2021	Offline Inverse Reinforcement Learning by Firas Jarboui et al
06-10-2021	DECORE: Deep Compression with Reinforcement Learning by Manoj Alwani et al
06-09-2021	TempoRL: Learning When to Act by André Biedenkapp et al
06-09-2021	NeRF in detail: Learning to sample for view synthesis by Relja Arandjelović et al
06-11-2021	Automatic Risk Adaptation in Distributional Reinforcement Learning by Frederik Schubert et al
06-09-2021	On Margin-Based Cluster Recovery with Oracle Queries by Marco Bressan et al
06-09-2021	No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data by Mi Luo et al
06-10-2021	Collaborative Multidisciplinary Design Optimization with Neural Networks by Jean de Becdelievre et al
06-09-2021	Learning Pseudo-Backdoors for Mixed Integer Programs by Aaron Ferber et al
06-09-2021	Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL by Yanchao Sun et al
06-09-2021	Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents by Keerthiram Murugesan et al
06-11-2021	Learning to Pool in Graph Neural Networks for Extrapolation by Jihoon Ko et al
06-11-2021	Nested and Balanced Entity Recognition using Multi-Task Learning by Andreas Waldis et al
06-10-2021	Group Equivariant Subsampling by Jin Xu et al
06-10-2021	DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel by Benjamin Dupuis et al
06-11-2021	TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation by Haoang Chi et al
06-11-2021	ViT-Inception-GAN for Image Colourising by Tejas Bana et al
06-09-2021	Polynomial magic! Hermite polynomials for private data generation by Mijung Park et al
06-11-2021	Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales by Ylva Jansson et al
06-10-2021	GraphiT: Encoding Graph Structure in Transformers by Grégoire Mialon et al
06-10-2021	Adaptive Streaming Perception using Deep Reinforcement Learning by Anurag Ghosh et al
06-08-2021	PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning by Seng Pei Liew et al
06-10-2021	Modeling Hierarchical Structures with Continuous Recursive Neural Networks by Jishnu Ray Chowdhury et al
06-10-2021	Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation by Jiawei Zhang et al
06-09-2021	DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact by Yifei Li et al
06-11-2021	Hybrid Generative-Contrastive Representation Learning by Saehoon Kim et al
06-09-2021	Audiovisual transfer learning for audio tagging and sound event detection by Wim Boes et al
06-09-2021	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks by Maciej Wołczyk et al
06-11-2021	Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning by Shengchao Yan et al
06-11-2021	Learning the optimal regularizer for inverse problems by Giovanni S. Alberti et al
06-08-2021	Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions by Junyan Liu et al
06-09-2021	Reliable Adversarial Distillation with Unreliable Teachers by Jianing Zhu et al
06-09-2021	Do Transformers Really Perform Bad for Graph Representation? by Chengxuan Ying et al
06-09-2021	Fast and More Powerful Selective Inference for Sparse High-order Interaction Model by Diptesh Das et al
06-08-2021	Dynamic Sparse Training for Deep Reinforcement Learning by Ghada Sokar et al
06-09-2021	Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective by Paul Chelarescu
06-10-2021	Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties by Alex Mallen et al
06-09-2021	Streaming Belief Propagation for Community Detection by Yuchen Wu et al
06-10-2021	What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? by Weijian Deng et al
06-09-2021	Local Algorithms for Finding Densely Connected Clusters by Peter Macgregor et al
06-10-2021	Verifying Quantized Neural Networks using SMT-Based Model Checking by Luiz Sena et al
06-09-2021	Expectation Programming by Tim Reichelt et al
06-09-2021	CoAtNet: Marrying Convolution and Attention for All Data Sizes by Zihang Dai et al
06-11-2021	N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses by Karthik Ganesan et al
06-11-2021	Probability Paths and the Structure of Predictions over Time by Zhiyuan et al
06-08-2021	Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future by Harshavardhan Kamarthi et al
06-09-2021	Fairness-Aware Node Representation Learning by Öykü Deniz Köse et al
06-09-2021	Rare event estimation using stochastic spectral embedding by P. -R. Wagner et al
06-10-2021	Programming Puzzles by Tal Schuster et al
06-09-2021	Intermittent Speech Recovery by Yu-Chen Lin et al
06-10-2021	Temporal and Object Quantification Networks by Jiayuan Mao et al
06-08-2021	Handcrafted Backdoors in Deep Neural Networks by Sanghyun Hong et al
06-08-2021	Provably Faster Algorithms for Bilevel Optimization by Junjie Yang et al
06-08-2021	On the Evolution of Neuron Communities in a Deep Learning Architecture by Sakib Mostafa et al
06-08-2021	Adaptive transfer learning by Henry W. J. Reeve et al
06-09-2021	Domain Specific Transporter Framework to Detect Fractures in Ultrasound by Arpan Tripathi et al
06-10-2021	Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization by Fanhe Ma et al
06-10-2021	Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds by Maurice Weiler et al
06-10-2021	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning by Daochen Zha et al
06-11-2021	Neural Symbolic Regression that Scales by Luca Biggio et al
06-11-2021	Catch-A-Waveform: Learning to Generate Audio from a Single Short Example by Gal Greshler et al
06-09-2021	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection by Hadi Hojjati et al
06-09-2021	Probing transfer learning with a model of synthetic correlated datasets by Federica Gerace et al
06-11-2021	A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks by Karrar Al-Kaabi et al
06-08-2021	MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings by Anders H. Brams et al
06-08-2021	Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces by Ömer Şahin Taş et al
06-08-2021	Curriculum Design for Teaching via Demonstrations: Theory and Applications by Gaurav Yengera et al
06-09-2021	Explaining Time Series Predictions with Dynamic Masks by Jonathan Crabbé et al
06-10-2021	Differentiable Robust LQR Layers by Ngo Anh Vien et al
06-10-2021	How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation by Swaroop Mishra et al
06-09-2021	Nonlinear Hawkes Processes in Time-Varying System by Feng Zhou et al

06-11-2021	Preferential Temporal Difference Learning by Nishanth Anand et al
06-09-2021	Tracking by Joint Local and Global Search: A Target-aware Attention based Approach by Xiao Wang et al
06-09-2021	An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture by Atul Sahay et al
06-11-2021	Recovery of Meteorites Using an Autonomous Drone and Machine Learning by Robert I. Citron et al
06-11-2021	WAX-ML: A Python library for machine learning and feedback loops on streaming data by Emmanuel Sérié
06-11-2021	Online Continual Adaptation with Active Self-Training by Shiji Zhou et al
06-11-2021	The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective by Geoff Pleiss et al
06-10-2021	Score-based Generative Modeling in Latent Space by Arash Vahdat et al
06-10-2021	Fair Normalizing Flows by Mislav Balunović et al
06-10-2021	Flow-based sampling for fermionic lattice field theories by Michael S. Albergo et al
06-11-2021	KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation by Chenhong Zhou et al
06-11-2021	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning by Jiajun Fan et al
06-09-2021	Knowledge distillation: A good teacher is patient and consistent by Lucas Beyer et al
06-09-2021	Single-Server Private Linear Transformation: The Individual Privacy Case by Anoosheh Heidarzadeh et al
06-08-2021	Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching by Tomas Folke et al
06-08-2021	Learning to Price Against a Moving Target by Renato Paes Leme et al
06-11-2021	Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation by Ziwei Fan et al
06-11-2021	The Complexity of Sparse Tensor PCA by Davin Choo et al
06-11-2021	DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm by Vincent Plassier et al
06-11-2021	Survey of Image Based Graph Neural Networks by Usman Nazir et al
06-10-2021	Unsupervised Behaviour Discovery with Quality-Diversity Optimisation by Luca Grillotti et al
06-08-2021	Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products by Amin Asadi et al
06-10-2021	A self-adapting super-resolution structures framework for automatic design of GAN by Yibo Guo et al
06-10-2021	Within-layer Diversity Reduces Generalization Gap by Firas Laakom et al
06-08-2021	Broadcasted Residual Learning for Efficient Keyword Spotting by Byeonggeun Kim et al
06-08-2021	Dynamic Instance-Wise Classification in Correlated Feature Spaces by Yasitha Warahena Liyanage et al
06-09-2021	ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs by Christopher A. Strong et al
06-09-2021	Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images by Jakob Weiss et al
06-09-2021	Fair Disaster Containment via Graph-Cut Problems by Amy Babay et al
06-09-2021	Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses by Richard Antonello et al
06-08-2021	Staircase Attention for Recurrent Processing of Sequences by Da Ju et al
06-08-2021	Inference for Network Regression Models with Community Structure by Mengjie Pan et al
06-09-2021	A New Notion of Individually Fair Clustering: αα-Equitable kk-Center by Darshan Chakrabarti et al
06-09-2021	Online Learning for Stochastic Shortest Path Model via Posterior Sampling by Mehdi Jafarnia-Jahromi et al
06-09-2021	Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation by Cunxiao Du et al
06-11-2021	Offline Reinforcement Learning as Anti-Exploration by Shideh Rezaeifar et al
06-08-2021	Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty by Alireza Ranjbar et al
06-09-2021	Recovering AES Keys with a Deep Cold Boot Attack by Itamar Zimerman et al
06-08-2021	EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions by Laurens Bliek et al
06-09-2021	Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning by Tengyang Xie et al
06-10-2021	Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm by Mingkang Zhu et al
06-10-2021	Unsupervised Neural Hidden Markov Models with a Continuous latent state space by Firas Jarboui et al
06-11-2021	Label Noise SGD Provably Prefers Flat Global Minimizers by Alex Damian et al
06-09-2021	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling by Chuizheng Meng et al
06-09-2021	Single-Server Private Linear Transformation: The Joint Privacy Case by Anoosheh Heidarzadeh et al
06-09-2021	Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions by Yin Tat Lee et al
06-08-2021	Breaking the Limits of Message Passing Graph Neural Networks by Muhammet Balcilar et al
06-08-2021	Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention by Manli Zhu et al
06-09-2021	Memory-based Optimization Methods for Model-Agnostic Meta-Learning by Bokun Wang et al
06-08-2021	Stability and Generalization of Bilevel Programming in Hyperparameter Optimization by Fan Bao et al
06-11-2021	Exploiting Record Similarity for Practical Vertical Federated Learning by Zhaomin Wu et al
06-08-2021	Accelerating Neural Architecture Search via Proxy Data by Byunggook Na et al
06-10-2021	Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft by Athanasios Vlontzos et al
06-08-2021	Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data by Chengping Rao et al
06-09-2021	Stein Latent Optimization for GANs by Uiwon Hwang et al
06-10-2021	Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning by Youri Coppens et al
06-08-2021	Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation by Semih Cayci et al
06-08-2021	Decentralized Learning in Online Queuing Systems by Flore Sentenac et al
06-09-2021	Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms by Alexander Camuto et al
06-10-2021	Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program by Jeff Druce et al
06-08-2021	Vector Quantized Models for Planning by Sherjil Ozair et al
06-08-2021	Obtaining Better Static Word Embeddings Using Contextual Embedding Models by Prakhar Gupta et al
06-09-2021	Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows by Brendan Leigh Ross et al
06-08-2021	Predicting the Success of Domain Adaptation in Text Similarity by Nicolai Pogrebnyakov et al
06-11-2021	Invariant Information Bottleneck for Domain Generalization by Bo Li et al
06-08-2021	Provably Robust Detection of Out-of-distribution Data (almost) for free by Alexander Meinke et al
06-08-2021	Question Generation for Adaptive Education by Megha Srivastava et al
06-11-2021	Learning Compositional Shape Priors for Few-Shot 3D Reconstruction by Mateusz Michalkiewicz et al
06-08-2021	Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions by Yohei Kawaguchi et al
06-11-2021	Adversarial Robustness through the Lens of Causality by Yonggang Zhang et al
06-10-2021	GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures by Ivan Chelombiev et al
06-08-2021	Learning Riemannian Manifolds for Geodesic Motion Skills by Hadi Beik-Mohammadi et al
06-09-2021	Bayesian Boosting for Linear Mixed Models by Boyao Zhang et al
06-10-2021	On the overlooked issue of defining explanation objectives for local-surrogate explainers by Rafael Poyiadzi et al
06-09-2021	Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints by Xinlei Yi et al
06-08-2021	What Data Augmentation Do We Need for Deep-Learning-Based Finance? by Liu Ziyin et al
06-09-2021	From inexact optimization to learning via gradient concentration by Bernhard Stankewitz et al
06-09-2021	Pretrained Encoders are All You Need by Mina Khan et al
06-09-2021	Self-Improved Retrosynthetic Planning by Junsu Kim et al
06-09-2021	Interaction-Grounded Learning by Tengyang Xie et al
06-09-2021	Fully differentiable model discovery by Gert-Jan Both et al
06-10-2021	Distributionally Robust Prescriptive Analytics with Wasserstein Distance by Tianyu Wang et al
06-10-2021	Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models by Stefania Fresca et al
06-09-2021	Quantum Annealing for Automated Feature Selection in Stress Detection by Rajdeep Kumar Nath et al
06-09-2021	A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback by Semih Cayci et al
06-10-2021	Adversarial Option-Aware Hierarchical Imitation Learning by Mingxuan Jing et al
06-08-2021	Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks by Avi Schwarzschild et al
06-11-2021	On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting by Shunta Akiyama et al
06-11-2021	An adaptive cognitive sensor node for ECG monitoring in the Internet of Medical Things by Matteo Antonio Scrugli et al
06-09-2021	Automated Self-Supervised Learning for Graphs by Wei Jin et al
06-09-2021	Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach by Qiujiang Jin et al
06-08-2021	Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks by Dmitry Kovalev et al
06-08-2021	PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment by Sharib Ali et al
06-08-2021	Muddling Label Regularization: Deep Learning for Tabular Datasets by Karim Lounici et al
06-08-2021	Detecting Anomalous Event Sequences with Temporal Point Processes by Oleksandr Shchur et al
06-08-2021	Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations by Yair Schiff et al
06-09-2021	Pretraining Representations for Data-Efficient Reinforcement Learning by Max Schwarzer et al
06-10-2021	Space-time Mixing Attention for Video Transformer by Adrian Bulat et al
06-08-2021	Harmless Overparametrization in Two-layer Neural Networks by Huiyuan Wang et al
06-08-2021	Towards the Memorization Effect of Neural Networks in Adversarial Training by Han Xu et al
06-08-2021	Sentence Embeddings using Supervised Contrastive Learning by Danqi Liao
06-10-2021	A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems by Babak Barazandeh et al
06-10-2021	FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset by Sophia Bano et al
06-10-2021	A Nonmyopic Approach to Cost-Constrained Bayesian Optimization by Eric Hans Lee et al
06-08-2021	Householder-Absolute Neural Layers For High Variability and Deep Trainability by Yueyao Yu et al
06-11-2021	Dynamic Language Models for Continuously Evolving Content by Spurthi Amba Hombaiah et al
06-10-2021	Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning by Youngtaek Oh et al
06-10-2021	Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time by Laxman Dhulipala et al
06-08-2021	Coresets for Classification -- Simplified and Strengthened by Tung Mai et al
06-08-2021	Interpretable agent communication from scratch(with a generic visual processor emerging on the side) by Roberto Dessì et al
06-09-2021	Public Transit for Special Events: Ridership Prediction and Train Optimization by Tejas Santanam et al
06-09-2021	I Dont Need uu: Identifiable Non-Linear ICA Without Side Information by Matthew Willetts et al
06-09-2021	Realizing GANs via a Tunable Loss Function by Gowtham R. Kurri et al
06-11-2021	HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML by Sebastian Pineda Arango et al
06-10-2021	Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate by Austin Botelho et al
06-11-2021	Unsupervised Anomaly Detection Ensembles using Item Response Theory by Sevvandi Kandanaarachchi
06-11-2021	Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles by Sanath Kumar Krishnamurthy et al
06-08-2021	Context-Specific Causal Discovery for Categorical Data Using Staged Trees by Manuele Leonelli et al
06-08-2021	A critical look at the current train/test split in machine learning by Jimin Tan et al
06-09-2021	Multi-Facet Clustering Variational Autoencoders by Fabian Falck et al
06-10-2021	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting by Soumyasundar Pal et al
06-10-2021	Bayesian Optimisation with Formal Guarantees by Franz Brauße et al
06-10-2021	Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning by Daniel J. B. Harrold et al
06-11-2021	Measuring the sensitivity of Gaussian processes to kernel choice by William T. Stephenson et al
06-08-2021	PAM: Understanding Product Images in Cross Product Category Attribute Extraction by Rongmei Lin et al
06-08-2021	On the Lack of Robust Interpretability of Neural Text Classifiers by Muhammad Bilal Zafar et al
06-10-2021	Assessing the Effectiveness of Syntactic Structure to Learn Code Edit Representations by Syed Arbaaz Qureshi et al
06-10-2021	Self-Trained One-class Classification for Unsupervised Anomaly Detection by Jinsung Yoon et al
06-10-2021	Interpreting Expert Annotation Differences in Animal Behavior by Megan Tjandrasuwita et al
06-08-2021	Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincar\e Recurrence by Yun Kuen Cheung et al
06-08-2021	Marginalizable Density Models by Dar Gilboa et al
06-08-2021	Parameter Inference with Bifurcation Diagrams by Gregory Szep et al
06-08-2021	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation by Alex J. Chan et al
06-09-2021	Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud by Jashwant Raj Gunasekaran et al

06-10-2021	Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent by Samira Abnar et al
06-10-2021	Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning by Nicola Loi et al
06-09-2021	Independent mechanism analysis, a new concept? by Luigi Gresele et al
06-09-2021	EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback by Peter Richtárik et al
06-09-2021	Distilling Image Classifiers in Object Detectors by Shuxuan Guo et al
06-08-2021	Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning by Hankui Peng et al
06-08-2021	Efficient Online Learning for Dynamic k-Clustering by Dimitris Fotakis et al
06-08-2021	Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization by Bing-Jing Hsieh et al
06-09-2021	Artificial Intelligence in Drug Discovery: Applications and Techniques by Jianyuan Deng et al
06-09-2021	Mixture weights optimisation for Alpha-Divergence Variational Inference by Kamélia Daudel et al
06-09-2021	Self-Paced Context Evaluation for Contextual Reinforcement Learning by Theresa Eimer et al
06-09-2021	More than meets the eye: Self-supervised depth reconstruction from brain activity by Guy Gaziv et al
06-11-2021	States of confusion: Eye and Head tracking reveal surgeons confusion during arthroscopic surgery by Benedikt Hosp et al
06-10-2021	Scaling Vision with Sparse Mixture of Experts by Carlos Riquelme et al
06-11-2021	TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning by Xu Chen et al
06-08-2021	Seismic Inverse Modeling Method based on Generative Adversarial Network by Pengfei Xie et al
06-11-2021	Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall by Tadashi Kozuno et al
06-10-2021	Deep neural network loses attention to adversarial images by Shashank Kotyan et al
06-11-2021	Analyzing the Travel and Charging Behavior of Electric Vehicles -- A Data-driven Approach by Sina Baghali et al
06-11-2021	Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization by Liwei Wang et al
06-10-2021	Simple Graph Convolutional Networks by Luca Pasa et al
06-10-2021	Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions by Yifan Yu et al
06-09-2021	PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training by Kimin Lee et al
06-08-2021	Incentive Mechanism for Privacy-Preserving Federated Learning by Shuyuan Zheng et al
06-08-2021	Property-Aware Robot Object Manipulation: a Generative Approach by Luca Garello et al
06-10-2021	Linear Classifiers Under Infinite Imbalance by Paul Glasserman et al
06-08-2021	Learning from Multiple Noisy Partial Labelers by Peilin Yu et al
06-08-2021	What Makes Multimodal Learning Better than Single (Provably) by Yu Huang et al
06-11-2021	A Novel Approach to Lifelong Learning: The Plastic Support Structure by Georges Kanaan et al
06-10-2021	A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off by Ou Wu et al
06-11-2021	Going Beyond Linear Transformers with Recurrent Fast Weight Programmers by Kazuki Irie et al
06-08-2021	Towards a Theoretical Framework of Out-of-Distribution Generalization by Haotian Ye et al
06-08-2021	SpeechBrain: A General-Purpose Speech Toolkit by Mirco Ravanelli et al
06-08-2021	Densely connected normalizing flows by Matej Grcić et al
06-11-2021	Model Selection for Bayesian Autoencoders by Ba-Hien Tran et al
06-10-2021	Instance-Level Task Parameters: A Robust Multi-task Weighting Framework by Pavan Kumar Anasosalu Vasu et al
06-10-2021	Twin Neural Network Regression is a Semi-Supervised Regression Algorithm by Sebastian J. Wetzel et al
06-10-2021	Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models by Jing Liu et al
06-10-2021	Differentially Private Federated Learning via Inexact ADMM by Minseok Ryu et al
06-10-2021	A Unified Framework for Constructing Nonconvex Regularizations by Zhiyong Zhou
06-11-2021	Taylor Expansion of Discount Factors by Yunhao Tang et al
06-08-2021	Communication-efficient SGD: From Local SGD to One-Shot Averaging by Artin Spiridonoff et al
06-08-2021	Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction by Chang Lu et al
06-11-2021	Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs by Seongjun Yun et al
06-09-2021	Parameter and Feature Selection in Stochastic Linear Bandits by Ahmadreza Moradipari et al
06-09-2021	StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs by Artur Podobas et al
06-10-2021	Quantized Conditional COT-GAN for Video Prediction by Tianlin Xu et al
06-09-2021	Implicit field learning for unsupervised anomaly detection in medical images by Sergio Naval Marimont et al
06-08-2021	The Randomness of Input Data Spaces is an A Priori Predictor for Generalization by Martin Briesch et al
06-08-2021	What training reveals about neural network complexity by Andreas Loukas et al
06-11-2021	DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles by Anum Talpur et al
06-09-2021	Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed LSTM Neural Networks by Tai-Yu Ma et al
06-08-2021	BIGDML: Towards Exact Machine Learning Force Fields for Materials by Huziel E. Sauceda et al
06-09-2021	Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework by Kevin D. McCay et al
06-09-2021	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data by Jens Petersen et al
06-10-2021	Early-stopped neural networks are consistent by Ziwei Ji et al
06-10-2021	PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition by Cheng-I Jeff Lai et al
06-10-2021	Fair Classification with Adversarial Perturbations by L. Elisa Celis et al
06-10-2021	Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations by Wouter Van Gansbeke et al
06-10-2021	Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features by Thomas M. McDonald et al
06-10-2021	Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation by Zhengyi Luo et al
06-10-2021	An Interpretable Neural Network for Parameter Inference by Johann Pfitzinger
06-11-2021	Topological Detection of Trojaned Neural Networks by Songzhu Zheng et al
06-11-2021	Locally Sparse Networks for Interpretable Predictions by Junchen Yang et al
06-10-2021	Adversarial Graph Augmentation to Improve Graph Contrastive Learning by Susheel Suresh et al
06-08-2021	Enhancing Robustness of Neural Networks through Fourier Stabilization by Netanel Raviv et al
06-08-2021	A Survey of Transformers by Tianyang Lin et al
06-11-2021	Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks by Nezihe Merve Gürel et al
06-09-2021	Quickest change detection with unknown parameters: Constant complexity and near optimality by Firas Jarboui et al
06-10-2021	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning by Liangqiong Qu et al
06-10-2021	Convergence and Alignment of Gradient Descentwith Random Back propagation Weights by Ganlin Song et al
06-10-2021	A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems by Wei-Fan Hu et al
06-10-2021	Data augmentation in Bayesian neural networks and the cold posterior effect by Seth Nabarro et al
06-10-2021	Learning Nonparametric Volterra Kernels with Gaussian Processes by Magnus Ross et al
06-11-2021	Safe Reinforcement Learning with Linear Function Approximation by Sanae Amani et al
06-08-2021	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style by Julius von Kügelgen et al
06-09-2021	Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations by Manu Kalia et al
06-10-2021	Multi-resolution Outlier Pooling for Sorghum Classification by Chao Ren et al
06-10-2021	ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction by Xiaomin Fang et al
06-10-2021	Is Homophily a Necessity for Graph Neural Networks? by Yao Ma et al
06-10-2021	A comprehensive solution to retrieval-based chatbot construction by Kristen Moore et al
06-09-2021	Cooperative Online Learning by Tommaso R. Cesari et al
06-08-2021	Submodular + Concave by Siddharth Mitra et al
06-08-2021	Predicting Deep Neural Network Generalization with Perturbation Response Curves by Yair Schiff et al
06-08-2021	Ex uno plures: Splitting One Model into an Ensemble of Subnetworks by Zhilu Zhang et al
06-08-2021	Fixed-Budget Best-Arm Identification in Contextual Bandits: A Static-Adaptive Algorithm by MohammadJavad Azizi et al
06-09-2021	Practical Machine Learning Safety: A Survey and Primer by Sina Mohseni et al
06-11-2021	Adversarial purification with Score-based generative models by Jongmin Yoon et al
06-09-2021	It Takes Two to Tango: Mixup for Deep Metric Learning by Shashanka Venkataramanan et al
06-09-2021	Pulling back information geometry by Georgios Arvanitidis et al
06-08-2021	Bayesian Optimization over Hybrid Spaces by Aryan Deshwal et al
06-10-2021	A Neural Tangent Kernel Perspective of GANs by Jean-Yves Franceschi et al
06-10-2021	Score Matching Model for Unbounded Data Score by Dongjun Kim et al
06-08-2021	XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation by Subhabrata Mukherjee et al
06-10-2021	Simplifying Deep Reinforcement Learning via Self-Supervision by Daochen Zha et al
06-08-2021	Nonsmooth Implicit Differentiation for Machine Learning and Optimization by Jérôme Bolte et al
06-08-2021	Targeted Active Learning for Bayesian Decision-Making by Louis Filstroff et al
06-08-2021	Robust Generalization despite Distribution Shift via Minimum Discriminating Information by Tobias Sutter et al
06-08-2021	Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks by Changlin Wan et al
06-09-2021	Energy-Based Models for Code Generation under Compilability Constraints by Tomasz Korbak et al
06-09-2021	Semantic-aware Binary Code Representation with BERT by Hyungjoon Koo et al
06-10-2021	Cross-domain Contrastive Learning for Unsupervised Domain Adaptation by Rui Wang et al
06-09-2021	Learning Based Proximity Matrix Factorization for Node Embedding by Xingyi Zhang et al
06-09-2021	Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding by Xin Sun et al
06-10-2021	Domain Transformer: Predicting Samples of Unseen, Future Domains by Johannes Schneider
06-09-2021	Network insensitivity to parameter noise via adversarial regularization by Julian Bücher et al
06-08-2021	Object Based Attention Through Internal Gating by Jordan Lei et al
06-11-2021	Keyframe-Focused Visual Imitation Learning by Chuan Wen et al
06-08-2021	Hash Layers For Large Sparse Models by Stephen Roller et al
06-09-2021	HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks by Mohammad Hossein Samavatian et al
06-10-2021	DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents by Eun-Soo Jung et al
06-10-2021	Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise by Eduard Gorbunov et al
06-10-2021	Support Recovery of Sparse Signals from a Mixture of Linear Measurements by Venkata Gandikota et al
06-10-2021	Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning by Ekdeep Singh Lubana et al
06-08-2021	The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition by Tiancheng Jin et al
06-10-2021	Meta-Learning for Symbolic Hyperparameter Defaults by Pieter Gijsbers et al
06-10-2021	Front Contribution instead of Back Propagation by Swaroop Mishra et al
06-08-2021	LEADS: Learning Dynamical Systems that Generalize Across Environments by Yuan Yin et al
06-10-2021	NAAQA: A Neural Architecture for Acoustic Question Answering by Jerome Abdelnour et al
06-10-2021	DORO: Distributional and Outlier Robust Optimization by Runtian Zhai et al
06-10-2021	On the Robustness of Average Losses for Partial-Label Learning by Jiaqi Lv et al
06-10-2021	Learning by Watching by Jimuyang Zhang et al
06-08-2021	Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space by Sho Sonoda et al
06-08-2021	Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos by Lele Luan et al
06-09-2021	Optimizing Reusable Knowledge for Continual Learning via Metalearning by Julio Hurtado et al
06-10-2021	Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis by Julia Rosenzweig et al
06-08-2021	Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics by Shiqi Gong et al
06-08-2021	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions by Michael Poli et al
06-08-2021	On Improving Adversarial Transferability of Vision Transformers by Muzammal Naseer et al
06-10-2021	Anomalous Sound Detection Using a Binary Classification Model and Class Centroids by Ibuki Kuroyanagi et al
06-10-2021	Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs by Jialin Dong et al
06-09-2021	XBNet : An Extremely Boosted Neural Network by Tushar Sarkar
06-09-2021	Non-Parametric Stochastic Sequential Assignment With Random Arrival Times by Danial Dervovic et al
06-09-2021	Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach by Federico López et al
06-09-2021	Loss function based second-order Jensen inequality and its application to particle variational inference by Futoshi Futami et al
06-09-2021	Bayesian Bellman Operators by Matthew Fellows et al
06-11-2021	Coded-InvNet for Resilient Prediction Serving Systems by Tuan Dinh et al
06-08-2021	Large-scale optimal transport map estimation using projection pursuit by Cheng Meng et al
06-10-2021	Supervising the Transfer of Reasoning Patterns in VQA by Corentin Kervadec et al
06-10-2021	Does Knowledge Distillation Really Work? by Samuel Stanton et al
06-08-2021	Simulated Adversarial Testing of Face Recognition Models by Nataniel Ruiz et al
06-08-2021	Scaling Vision Transformers by Xiaohua Zhai et al
06-08-2021	Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection by Kasra Mokhtari et al
06-10-2021	Transformed CNNs: recasting pre-trained convolutional layers with self-attention by Stéphane d'Ascoli et al
06-11-2021	Policy Gradient Bayesian Robust Optimization for Imitation Learning by Zaynah Javed et al
06-10-2021	A Deep Variational Approach to Clustering Survival Data by Laura Manduchi et al
06-10-2021	Towards Understanding Generalization via Decomposing Excess Risk Dynamics by Jiaye Teng et al
06-11-2021	K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets by Xiu Su et al
06-11-2021	Learning the Precise Feature for Cluster Assignment by Yanhai Gan et al
06-11-2021	PyGAD: An Intuitive Genetic Algorithm Python Library by Ahmed Fawzy Gad
06-10-2021	Distance Metric Learning through Minimization of the Free Energy by Dusan Stosic et al
06-10-2021	Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space by Vincent Zha et al
06-10-2021	SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network by Ryan Dreifuerst et al
06-10-2021	ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations by Eric Zhao et al
06-08-2021	Job Dispatching Policies for Queueing Systems with Unknown Service Rates by Tuhinangshu Choudhury et al
06-08-2021	Scale Free Adversarial Multi Armed Bandits by Sudeep Raja Putta et al
06-08-2021	Boolean Matrix Factorization via Nonnegative Auxiliary Optimization by Duc P. Truong et al