2021.3.1 Learning papers

02-24-2021	Zero-Shot Text-to-Image Generation by Aditya Ramesh et al
02-23-2021	Do Transformer Modifications Transfer Across Implementations and Applications? by Sharan Narang et al
02-24-2021	Modern Koopman Theory for Dynamical Systems by Steven L. Brunton et al
02-24-2021	Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience by Nicholas Watters et al
02-23-2021	Teach Me to Explain: A Review of Datasets for Explainable NLP by Sarah Wiegreffe et al
02-25-2021	Investigating the Limitations of the Transformers with Simple Arithmetic Tasks by Rodrigo Nogueira et al
02-24-2021	When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute by Tao Lei
02-25-2021	Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations by Jitesh Seth et al
02-25-2021	QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer by Robin Lorenz et al
02-25-2021	Retrieval Augmentation to Improve Robustness and Interpretability of Deep Neural Networks by Rita Parada Ramos et al
02-23-2021	Learning with User-Level Privacy by Daniel Levy et al
02-23-2021	Generative Modelling of BRDF Textures from Flash Images by Philipp Henzler et al
02-24-2021	Synthetic Returns for Long-Term Credit Assignment by David Raposo et al
02-24-2021	Deep Stochastic Volatility Model by Xiuqin Xu et al
02-24-2021	A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents by Rajmund Nagy et al
02-25-2021	Do Input Gradients Highlight Discriminative Features? by Harshay Shah et al
02-25-2021	Visualizing MuZero Models by Joery A. de Vries et al
02-23-2021	Deep Policy Dynamic Programming for Vehicle Routing Problems by Wouter Kool et al
02-25-2021	Binary segmentation of medical images using implicit spline representations and deep learning by Oliver J. D. Barrowclough et al
02-23-2021	Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain by Julio Wissing et al
02-24-2021	AGENT: A Benchmark for Core Psychological Reasoning by Tianmin Shu et al
02-25-2021	A deep perceptual metric for 3D point clouds by Maurice Quach et al
02-23-2021	HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search by Niv Nayman et al
02-25-2021	Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling by Gregory W. Benton et al
02-23-2021	Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning by Vinay Kumar Verma et al
02-23-2021	Deep Video Prediction for Time Series Forecasting by Zhen Zeng et al
02-25-2021	Persistent Homology and Graphs Representation Learning by Mustafa Hajij et al
02-25-2021	Task-Agnostic Morphology Evolution by Donald J. Hejna et al
02-25-2021	Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations by Ritwik Bera et al
02-24-2021	Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence by Lana Sinapayen
02-25-2021	Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing by Jinquan Guo et al
02-24-2021	PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains by Eyal Ben-David et al
02-26-2021	Iterative SE(3)-Transformers by Fabian B. Fuchs et al
02-25-2021	CausalX: Causal Explanations and Block Multilinear Factor Analysis by M. Alex O. Vasilescu et al
02-25-2021	On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations by Chi Zhang et al
02-26-2021	Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums by Chaobing Song et al
02-24-2021	Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer by Qunsong Zeng et al
02-24-2021	PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning by Angelos Filos et al
02-25-2021	MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames by Takuhiro Kaneko et al
02-23-2021	SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition by Sourav Garg et al
02-25-2021	On Interpretability and Similarity in Concept-Based Machine Learning by Léonard Kwuida et al
02-25-2021	Towards Unbiased and Accurate Deferral to Multiple Experts by Vijay Keswani et al
02-25-2021	Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities by Chaobing Song et al
02-25-2021	Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints by Maura Pintor et al
02-24-2021	Robust SleepNets by Yigit Alparslan et al
02-26-2021	Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities by Mengwu Guo et al
02-25-2021	Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel by Jingjing Li et al
02-24-2021	Entanglement Diagnostics for Efficient Quantum Computation by Joonho Kim et al
02-24-2021	On the Impact of Interpretability Methods in Active Image Augmentation Method by Flavio Santos et al
02-23-2021	SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology by Sohini Roychowdhury et al
02-26-2021	Federated Edge Learning with Misaligned Over-The-Air Computation by Yulin Shao et al
02-25-2021	ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity by Edgar Beck et al
02-23-2021	Automated Discovery of Adaptive Attacks on Adversarial Defenses by Chengyuan Yao et al
02-24-2021	Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning by Sheng Li et al
02-24-2021	Abelian Neural Networks by Kenshin Abe et al
02-24-2021	Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach by Masuda Akter Tonima et al
02-24-2021	Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning by Toan Pham Van et al
02-23-2021	Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography by Xuefeng Du et al
02-24-2021	Railway Anomaly detection model using synthetic defect images generated by CycleGAN by Takuro Hoshi et al
02-24-2021	Efficient Palm-Line Segmentation with U-Net Context Fusion Module by Toan Pham Van et al
02-24-2021	Learning optimal multigrid smoothers via neural networks by Ru Huang et al
02-23-2021	Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem by Stefano Sarao Mannelli et al
02-25-2021	SparseBERT: Rethinking the Importance Analysis in Self-attention by Han Shi et al
02-23-2021	Comparative evaluation of CNN architectures for Image Caption Generation by Sulabh Katiyar et al
02-23-2021	Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization by Peiyuan Zhang et al
02-23-2021	On the Minimal Error of Empirical Risk Minimization by Gil Kur et al
02-23-2021	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective by Wuyang Chen et al
02-23-2021	Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic by Mingyu Cai et al
02-25-2021	Distribution-Free Robust Linear Regression by Jaouad Mourtada et al
02-23-2021	Adversarial Robustness with Non-uniform Perturbations by Ecenaz Erdemir et al
02-23-2021	Theoretical Understandings of Product Embedding for E-commerce Machine Learning by Da Xu et al
02-24-2021	Multi-Task Attentive Residual Networks for Argument Mining by Andrea Galassi et al
02-23-2021	Accurate Learning of Graph Representations with Graph Multiset Pooling by Jinheon Baek et al
02-24-2021	On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) by Zhiyuan Li et al
02-24-2021	Nonlinear Invariant Risk Minimization: A Causal Approach by Chaochao Lu et al
02-24-2021	Similarity measure for sparse time course data based on Gaussian processes by Zijing Liu et al
02-26-2021	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning by Baohe Zhang et al
02-25-2021	Federated Multi-armed Bandits with Personalization by Chengshuai Shi et al
02-25-2021	Metal-Oxide Sensor Array for Selective Gas Detection in Mixtures by Noureddine Tayebi et al
02-23-2021	Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations by Antonio Joia Neto et al
02-24-2021	Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT by Antti Koskela et al
02-24-2021	Lossless Compression of Efficient Private Local Randomizers by Vitaly Feldman et al
02-24-2021	Density Sketches for Sampling and Estimation by Aditya Desai et al
02-23-2021	Decision Rule Elicitation for Domain Adaptation by Alexander Nikitin et al
02-24-2021	Re-Evaluating GermEval17 Using German Pre-Trained Language Models by M. Aßenmacher et al
02-23-2021	Anytime Sampling for Autoregressive Models via Ordered Autoencoding by Yilun Xu et al
02-24-2021	Distributionally Robust Federated Averaging by Yuyang Deng et al
02-25-2021	Machine Biometrics -- Towards Identifying Machines in a Smart City Environment by G. K. Sidiropoulos et al
02-25-2021	Named Tensor Notation by David Chiang et al
02-23-2021	Uncertainty-aware Generalized Adaptive CycleGAN by Uddeshya Upadhyay et al
02-25-2021	Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders by Andrey A Popov et al
02-23-2021	Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning by Isaac J. Sledge et al
02-25-2021	Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators by Joel A. Rosenfeld et al
02-23-2021	Deep Convolutional Neural Networks with Unitary Weights by Hao-Yuan Chang et al
02-24-2021	Memory-based Deep Reinforcement Learning for POMDP by Lingheng Meng et al
02-23-2021	Quantum Cross Entropy and Maximum Likelihood Principle by Zhou Shangnan et al
02-25-2021	Improving Approximate Optimal Transport Distances using Quantization by Gaspard Beugnot et al
02-24-2021	Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants by Dennis J. N. J. Soemers et al
02-24-2021	Automatic Feature Extraction for Heartbeat Anomaly Detection by Robert-George Colt et al
02-24-2021	Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments by Dmitry Ivanov et al
02-25-2021	Understanding Robustness in Teacher-Student Setting: A New Perspective by Zhuolin Yang et al
02-24-2021	Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions by Yihan Du et al
02-25-2021	No-Regret Reinforcement Learning with Heavy-Tailed Rewards by Vincent Zhuang et al
02-24-2021	From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection by Quang Huu Pham et al
02-24-2021	Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization by Tianyi Liu et al
02-24-2021	Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration by Christian Tomani et al

02-23-2021	Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks by Sebastian Stabinger et al
02-25-2021	Toward Instance-Optimal State Certification With Incoherent Measurements by Sitan Chen et al
02-24-2021	Combining Off and On-Policy Training in Model-Based Reinforcement Learning by Alexandre Borges et al
02-26-2021	What Doesnt Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors by Jonas Geiping et al
02-24-2021	Directional Bias Amplification by Angelina Wang et al
02-24-2021	Information Directed Reward Learning for Reinforcement Learning by David Lindner et al
02-25-2021	Off-Policy Imitation Learning from Observations by Zhuangdi Zhu et al
02-23-2021	Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation by Changfa Shi et al
02-24-2021	No-Regret Algorithms for Private Gaussian Process Bandit Optimization by Abhimanyu Dubey
02-23-2021	Data-driven analysis of central bank digital currency (CBDC) projects drivers by Toshiko Matsui et al
02-24-2021	Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning by Víctor Campos et al
02-23-2021	ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks by Jungmin Kwon et al
02-23-2021	Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games by Yu Bai et al
02-24-2021	The Promises and Pitfalls of Deep Kernel Learning by Sebastian W. Ober et al
02-24-2021	SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media by Boaz Shmueli et al
02-24-2021	Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering by Romain Couillet et al
02-25-2021	Batched Neural Bandits by Quanquan Gu et al
02-25-2021	DeepSZ: Identification of Sunyaev-Zeldovich Galaxy Clusters using Deep Learning by Zhen Lin et al
02-26-2021	On the Generalization of Stochastic Gradient Descent with Momentum by Ali Ramezani-Kebrya et al
02-25-2021	An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets by Claire Birnie et al
02-24-2021	Graphfool: Targeted Label Adversarial Attack on Graph Embedding by Jinyin Chen et al
02-24-2021	Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √TT Regret by Asaf Cassel et al
02-26-2021	Experiments with Rich Regime Training for Deep Learning by Xinyan Li et al
02-23-2021	DNN2LR: Automatic Feature Crossing for Credit Scoring by Qiang Liu et al
02-25-2021	Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks by Huichen Li et al
02-25-2021	Swift for TensorFlow: A portable, flexible platform for deep learning by Brennan Saeta et al
02-25-2021	Adapting to misspecification in contextual bandits with offline regression oracles by Sanath Kumar Krishnamurthy et al
02-24-2021	Multiplicative Reweighting for Robust Neural Network Optimization by Noga Bar et al
02-24-2021	Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis by Leo Schwinn et al
02-26-2021	Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning by Dmitry A. Duev et al
02-23-2021	Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps by Alvaro Gomariz et al
02-25-2021	Statistical Testing for Efficient Out of Distribution Detection in Deep Neural Networks by Matan Haroush et al
02-24-2021	Learning to Generate Wasserstein Barycenters by Julien Lacombe et al
02-24-2021	Learning-Augmented Sketches for Hessians by Yi Li et al
02-24-2021	Set-valued classification -- overview via a unified framework by Evgenii Chzhen et al
02-26-2021	Sparse approximation in learning via neural ODEs by Carlos Esteve Yagüe et al
02-23-2021	An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery by Lucas Costa Brito et al
02-23-2021	Ray-based framework for state identification in quantum dot devices by Justyna P. Zwolak et al
02-25-2021	Quantitative approximation results for complex-valued neural networks by A. Caragea et al
02-24-2021	Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space by Claudio Conti
02-25-2021	SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs by Amuthan A. Ramabathiran et al
02-24-2021	Spanning Tree Constrained Determinantal Point Processes are Hard to (Approximately) Evaluate by Tatsuya Matsuoka et al
02-24-2021	Improved Regret Bound and Experience Replay in Regularized Policy Iteration by Nevena Lazic et al
02-24-2021	Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder by Anurag Sarkar et al
02-24-2021	Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimers Disease by Zhijian Yang et al
02-24-2021	FERMI: Fair Empirical Risk Minimization via Exponential R\enyi Mutual Information by Andrew Lowy et al
02-25-2021	On continual single index learning by The Tien Mai
02-23-2021	Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed by Maria Refinetti et al
02-25-2021	Benchmarking and Survey of Explanation Methods for Black Box Models by Francesco Bodria et al
02-24-2021	LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting by Abheesht Sharma et al
02-25-2021	Stein Variational Gradient Descent: many-particle and long-time asymptotics by Nikolas Nüsken et al
02-24-2021	Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach by Hiroyasu Tsukamoto et al
02-24-2021	Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm by Meena Jagadeesan et al
02-26-2021	History-Augmented Collaborative Filtering for Financial Recommendations by Baptiste Barreau et al
02-24-2021	Towards Safe Continuing Task Reinforcement Learning by Miguel Calvo-Fullana et al
02-25-2021	Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images by Yu Shen et al
02-23-2021	Instance Specific Approximations for Submodular Maximization by Eric Balkanski et al
02-24-2021	AutoAI-TS: AutoAI for Time Series Forecasting by Syed Yousaf Shah et al
02-24-2021	Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning by Jianzhun Shao et al
02-25-2021	Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff by Jose Blanchet et al
02-25-2021	Learning Discriminative Features using Multi-label Dual Space by Ali Braytee et al
02-26-2021	3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation by Shuai Yu et al
02-25-2021	Robust Deep Reinforcement Learning via Multi-View Information Bottleneck by Jiameng Fan et al
02-24-2021	Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks by Apoorva Sharma et al
02-26-2021	Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks by Jinlin Xiang et al
02-24-2021	A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data by Kathy Li et al
02-25-2021	Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo by Apostolos Chalkis et al
02-25-2021	Mixed Variable Bayesian Optimization with Frequency Modulated Kernels by Changyong Oh et al
02-24-2021	Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers by Keidai Iiyama et al
02-24-2021	Benchmarking Graph Neural Networks on Link Prediction by Xing Wang et al
02-24-2021	Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices by Toan Pham Van et al
02-26-2021	PredDiffPredDiff: Explanations and Interactions from Conditional Expectations by Stefan Blücher et al
02-26-2021	IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology by Rajesh Kumar et al
02-23-2021	Accelerating Recursive Partition-Based Causal Structure Learning by Md. Musfiqur Rahman et al
02-23-2021	Solving high-dimensional parabolic PDEs using the tensor train format by Lorenz Richter et al
02-24-2021	Classification with abstention but without disparities by Nicolas Schreuder et al
02-23-2021	State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards by Miguel Calvo-Fullana et al
02-24-2021	Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data by Yu Gong et al
02-24-2021	NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques by Gunjan Chhablani et al
02-25-2021	Hyperparameter Transfer Learning with Adaptive Complexity by Samuel Horváth et al
02-25-2021	Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally by Nived Rajaraman et al
02-25-2021	Towards Robust Graph Contrastive Learning by Nikola Jovanović et al
02-25-2021	A Local Method for Identifying Causal Relations under Markov Equivalence by Zhuangyan Fang et al
02-24-2021	Sequential Learning-based IaaS Composition by Sajib Mistry et al
02-25-2021	Towards a Unified Framework for Fair and Stable Graph Representation Learning by Chirag Agarwal et al
02-24-2021	MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings by Jingyao Ren et al
02-24-2021	Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music by Toan Pham Van et al
02-24-2021	Stochastic Aggregation in Graph Neural Networks by Yuanqing Wang et al
02-24-2021	Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach by Eoin Brophy et al
02-24-2021	FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism by Je Yang et al
02-25-2021	Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians by Bruno Brito et al
02-23-2021	EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss by Zhisheng Xiao et al
02-26-2021	Safe Distributional Reinforcement Learning by Jianyi Zhang et al
02-25-2021	Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings by Arun Sebastian et al
02-26-2021	A Regret Minimization Approach to Iterative Learning Control by Naman Agarwal et al
02-24-2021	Pre-Training on Dynamic Graph Neural Networks by Jiajun Zhang et al
02-25-2021	An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization by Elan Rosenfeld et al
02-23-2021	Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix by Chihiro Watanabe et al
02-23-2021	Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases by Michael van Bekkum et al
02-23-2021	Non-Singular Adversarial Robustness of Neural Networks by Yu-Lin Tsai et al
02-23-2021	Feature Importance Explanations for Temporal Black-Box Models by Akshay Sood et al
02-24-2021	HiPaR: Hierarchical Pattern-aided Regression by Luis Galárraga et al
02-25-2021	PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning by Nasi Jofche et al
02-25-2021	Automated essay scoring using efficient transformer-based language models by Christopher M Ormerod et al
02-25-2021	Combinatorial Bandits under Strategic Manipulations by Jing Dong et al
02-23-2021	Greedy Multi-step Off-Policy Reinforcement Learning by Yuhui Wang et al
02-24-2021	The Logical Options Framework by Brandon Araki et al
02-23-2021	Model-Attentive Ensemble Learning for Sequence Modeling by Victor D. Bourgin et al
02-23-2021	CAC: A Clustering Based Framework for Classification by Shivin Srivastava et al
02-24-2021	A statistical theory of out-of-distribution detection by Xi Wang et al
02-25-2021	Spurious Local Minima Are Common for Deep Neural Networks with Piecewise Linear Activations by Bo Liu
02-26-2021	Low-Precision Reinforcement Learning by Johan Bjorck et al
02-26-2021	Zoetrope Genetic Programming for Regression by Aurélie Boisbunon et al
02-25-2021	Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics by Keefe Huang et al
02-23-2021	SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams by Taehyung Kwon et al
02-23-2021	Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality by Tengyu Xu et al
02-24-2021	Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows by Nazneen N Sultana et al
02-26-2021	NOMU: Neural Optimization-based Model Uncertainty by Jakob Heiss et al
02-25-2021	Bias-reduced multi-step hindsight experience replay by Rui Yang et al
02-24-2021	Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series by Xing Han et al
02-25-2021	On The Effect of Auxiliary Tasks on Representation Dynamics by Clare Lyle et al
02-25-2021	Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation by Kenneth Borup et al

02-23-2021	Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks by Jinhee Lee et al
02-26-2021	Moreau-Yosida ff-divergences by Dávid Terjék
02-26-2021	Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion by Zhaozhuo Xu et al
02-26-2021	A Meta-embedding-based Ensemble Approach for ICD Coding Prediction by Pavithra Rajendran et al
02-24-2021	Provable Compressed Sensing with Generative Priors via Langevin Dynamics by Thanh V. Nguyen et al
02-25-2021	Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning by Shaoxiong Ji et al
02-26-2021	Efficient Client Contribution Evaluation for Horizontal Federated Learning by Jie Zhao et al
02-26-2021	Towards Robust and Reliable Algorithmic Recourse by Sohini Upadhyay et al
02-23-2021	Winning Ticket in Noisy Image Classification by Taehyeon Kim et al
02-23-2021	Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty by Jishnu Mukhoti et al
02-25-2021	Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements by Brendan Keith et al
02-24-2021	Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting by Fatoumata Dama et al
02-23-2021	Understanding and Mitigating Accuracy Disparity in Regression by Jianfeng Chi et al
02-23-2021	V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities by Siddhartha Shankar Das et al
02-25-2021	Self-Tuning for Data-Efficient Deep Learning by Ximei Wang et al
02-23-2021	Learner-Private Online Convex Optimization by Jiaming Xu et al
02-23-2021	Scaling up learning with GAIT-prop by Sander Dalm et al
02-26-2021	Neural Generalization of Multiple Kernel Learning by Ahamad Navid Ghanizadeh et al
02-26-2021	Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization by Shohei Kubota et al
02-24-2021	Preserved central model for faster bidirectional compression in distributed settings by Constantin Philippenko et al
02-25-2021	Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods by Nicholay Topin et al
02-23-2021	Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving by Chen Tang et al
02-26-2021	Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation by Shreyan Chowdhury et al
02-25-2021	sJIVE: Supervised Joint and Individual Variation Explained by Elise F. Palzer et al
02-23-2021	A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks by Yingfang Yuan et al
02-23-2021	A microservice-based framework for exploring data selection in cross-building knowledge transfer by Mouna Labiadh et al
02-23-2021	Learning to Fairly Classify the Quality of Wireless Links by Gregor Cerar et al
02-25-2021	Diffusion Earth Movers Distance and Distribution Embeddings by Alexander Tong et al
02-24-2021	The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates by Björn W. Schuller et al
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