2022.5.30 Learning papers

05-24-2022	Large Language Models are Zero-Shot Reasoners by Takeshi Kojima et al
05-25-2022	Autoformalization with Large Language Models by Yuhuai Wu et al
05-26-2022	Towards Learning Universal Hyperparameter Optimizers with Transformers by Yutian Chen et al
05-25-2022	An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems by Andrea Gesmundo et al
05-24-2022	History Compression via Language Models in Reinforcement Learning by Fabian Paischer et al
05-26-2022	Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality by Tom Zahavy et al
05-26-2022	Green Hierarchical Vision Transformer for Masked Image Modeling by Lang Huang et al
05-25-2022	Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models by Clara Na et al
05-24-2022	AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models by Yaqing Wang et al
05-25-2022	Inception Transformer by Chenyang Si et al
05-27-2022	Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval by Pascal Notin et al
05-26-2022	Quark: Controllable Text Generation with Reinforced Unlearning by Ximing Lu et al
05-27-2022	Sharpness-Aware Training for Free by Jiawei Du et al
05-24-2022	Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization by Aishwarya Agrawal et al
05-24-2022	Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks by Kayson Fakhar et al
05-26-2022	Your Transformer May Not be as Powerful as You Expect by Shengjie Luo et al
05-24-2022	Physics-Embedded Neural Networks: E(n)E(n)-Equivariant Graph Neural PDE Solvers by Masanobu Horie et al
05-24-2022	Not too little, not too much: a theoretical analysis of graph (over)smoothing by Nicolas Keriven
05-25-2022	BiT: Robustly Binarized Multi-distilled Transformer by Zechun Liu et al
05-26-2022	Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information by Shijing Si et al
05-27-2022	Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power by Binghui Li et al
05-26-2022	Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures by Emmanuel Abbe et al
05-26-2022	Matryoshka Representations for Adaptive Deployment by Aditya Kusupati et al
05-24-2022	Learning for Expressive Task-Related Sentence Representations by Xueying Bai et al
05-24-2022	FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech by Alexis Conneau et al
05-26-2022	Semantic Parsing of Interpage Relations by Mehmet Arif Demirtaş et al
05-26-2022	Federated Split BERT for Heterogeneous Text Classification by Zhengyang Li et al
05-27-2022	Transformers from an Optimization Perspective by Yongyi Yang et al
05-25-2022	Misleading Deep-Fake Detection with GAN Fingerprints by Vera Wesselkamp et al
05-25-2022	Understanding Metrics for Paraphrasing by Omkar Patil et al
05-25-2022	Mutual Information Divergence: A Unified Metric for Multimodal Generative Models by Jin-Hwa Kim et al
05-26-2022	Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs by Linjian Ma et al
05-26-2022	Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification by Yuexin Wu et al
05-27-2022	Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions by Huaizu Jiang et al
05-26-2022	Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm by Surya Teja Chavali et al
05-25-2022	Entropy Maximization with Depth: A Variational Principle for Random Neural Networks by Amir Joudaki et al
05-26-2022	Mitigating barren plateaus of variational quantum eigensolvers by Xia Liu et al
05-24-2022	Certified Robustness Against Natural Language Attacks by Causal Intervention by Haiteng Zhao et al
05-27-2022	Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design by Jörg K. H. Franke et al
05-26-2022	Maximum Likelihood Training of Implicit Nonlinear Diffusion Models by Dongjun Kim et al
05-26-2022	Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks by Divyam Goel et al
05-26-2022	Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming by Sen Na et al
05-24-2022	Learning Stabilizing Policies in Stochastic Control Systems by Đorđe Žikelić et al
05-25-2022	The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training by Gi-Cheon Kang et al
05-27-2022	X-ViT: High Performance Linear Vision Transformer without Softmax by Jeonggeun Song et al
05-25-2022	Training Language Models with Memory Augmentation by Zexuan Zhong et al
05-26-2022	Avoiding Barren Plateaus with Classical Deep Neural Networks by Lucas Friedrich et al
05-24-2022	Naive Few-Shot Learning: Sequence Consistency Evaluation by Tomer Barak et al
05-25-2022	Exact Phase Transitions in Deep Learning by Liu Ziyin et al
05-27-2022	Neural Basis Models for Interpretability by Filip Radenovic et al
05-26-2022	Active Labeling: Streaming Stochastic Gradients by Vivien Cabannes et al
05-25-2022	Mitigating multiple descents: A model-agnostic framework for risk monotonization by Pratik Patil et al
05-24-2022	Accelerating Frank-Wolfe via Averaging Step Directions by Zhaoyue Chen et al
05-26-2022	TransBoost: Improving the Best ImageNet Performance using Deep Transduction by Omer Belhasin et al
05-26-2022	BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning by Zhenting Wang et al
05-26-2022	Denial-of-Service Attacks on Learned Image Compression by Kang Liu et al
05-24-2022	Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT by James Lee-Thorp et al
05-26-2022	Revealing the Dark Secrets of Masked Image Modeling by Zhenda Xie et al
05-25-2022	On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences by Rafael B. Audibert et al
05-26-2022	Evaluating Multimodal Interactive Agents by Josh Abramson et al
05-26-2022	Learning the spatio-temporal relationship between wind and significant wave height using deep learning by Said Obakrim et al
05-24-2022	Lyapunov function approach for approximation algorithm design and analysis: with applications in submodular maximization by Donglei Du
05-25-2022	Trust-based Consensus in Multi-Agent Reinforcement Learning Systems by Ho Long Fung et al
05-26-2022	Training ReLU networks to high uniform accuracy is intractable by Julius Berner et al
05-25-2022	Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification by Niladri S. Chatterji et al
05-24-2022	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks by Yijun Tian et al
05-26-2022	Mesoscopic modeling of hidden spiking neurons by Shuqi Wang et al
05-27-2022	Contrastive Siamese Network for Semi-supervised Speech Recognition by Soheil Khorram et al
05-24-2022	Generating Natural Language Proofs with Verifier-Guided Search by Kaiyu Yang et al
05-25-2022	Urban Rhapsody: Large-scale exploration of urban soundscapes by Joao Rulff et al
05-24-2022	Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings by Martin Gonzalez et al
05-24-2022	RevUp: Revise and Update Information Bottleneck for Event Representation by Mehdi Rezaee et al
05-25-2022	Online Deep Equilibrium Learning for Regularization by Denoising by Jiaming Liu et al
05-25-2022	Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization by Yifei Wang et al
05-26-2022	Selective Classification Via Neural Network Training Dynamics by Stephan Rabanser et al
05-26-2022	Verifying Learning-Based Robotic Navigation Systems by Guy Amir et al
05-26-2022	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games by Sihan Zeng et al
05-26-2022	DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images by Simon Langer et al
05-26-2022	Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning by Christoffel Doorman et al
05-25-2022	ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data by Xiaochuang Han et al
05-26-2022	Censored Quantile Regression Neural Networks by Tim Pearce et al
05-26-2022	SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation by Ziyi Wang et al
05-25-2022	Learning Mean Field Games: A Survey by Mathieu Laurière et al
05-24-2022	Interpretation Quality Score for Measuring the Quality of interpretability methods by Yuansheng Xie et al
05-25-2022	Preference Dynamics Under Personalized Recommendations by Sarah Dean et al
05-25-2022	Gradient-based explanations for Gaussian Process regression and classification models by Sarem Seitz
05-26-2022	QUICK-FL: Quick Unbiased Compression for Federated Learning by Ran Ben Basat et al
05-25-2022	Is a Question Decomposition Unit All We Need? by Pruthvi Patel et al
05-27-2022	Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation by Yixuan Wei et al
05-25-2022	Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations by Junyeob Kim et al
05-26-2022	Constrained Reinforcement Learning for Short Video Recommendation by Qingpeng Cai et al
05-25-2022	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization by Benjamin Dubois-Taine et al
05-26-2022	A framework for overparameterized learning by Dávid Terjék et al
05-24-2022	Policy Compliance Detection via Expression Tree Inference by Neema Kotonya et al
05-26-2022	Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies by Rongguang Wang et al
05-26-2022	A Fair Federated Learning Framework With Reinforcement Learning by Yaqi Sun et al
05-26-2022	Feature Forgetting in Continual Representation Learning by Xiao Zhang et al
05-26-2022	Fair Representation Learning through Implicit Path Alignment by Changjian Shui et al
05-24-2022	Investigating Information Inconsistency in Multilingual Open-Domain Question Answering by Shramay Palta et al
05-24-2022	How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory by Kawin Ethayarajh et al
05-26-2022	On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition by Yue Song et al
05-26-2022	Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension by Federica Gerace et al
05-24-2022	First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization by Siddharth Reddy et al
05-24-2022	SepIt: Approaching a Single Channel Speech Separation Bound by Shahar Lutati et al
05-26-2022	Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback by Yan Dai et al
05-25-2022	Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search by Fangzheng Sun et al
05-26-2022	Continual evaluation for lifelong learning: Identifying the stability gap by Matthias De Lange et al
05-24-2022	Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning by Harley Wiltzer et al
05-25-2022	An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation by Ziquan Liu et al
05-26-2022	Transfer learning driven design optimization for inertial confinement fusion by K. D. Humbird et al
05-26-2022	SARS-CoV-2 Result Interpretation based on Image Analysis of Lateral Flow Devices by Neeraj Vashistha
05-25-2022	Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts by Qinyuan Ye et al
05-27-2022	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness by Tri Dao et al
05-26-2022	AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography by Zangir Iklassov et al
05-24-2022	Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model by Bishal Lamichhane et al
05-26-2022	Privacy-Preserving Wavelet Wavelet Neural Network with Fully Homomorphic Encryption by Syed Imtiaz Ahamed et al
05-26-2022	Variance-Aware Sparse Linear Bandits by Yan Dai et al
05-26-2022	DT-SV: A Transformer-based Time-domain Approach for Speaker Verification by Nan Zhang et al
05-26-2022	Deep Active Learning with Noise Stability by Xingjian Li et al
05-25-2022	RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning by Mingkai Deng et al
05-26-2022	Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms by Kiril Danilchenko et al
05-25-2022	RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning by Soumya Sanyal et al
05-26-2022	A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning by Da-Wei Zhou et al
05-25-2022	Differentially Private Data Generation Needs Better Features by Fredrik Harder et al
05-26-2022	TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning by Marco Bagatella et al
05-26-2022	Multi-fidelity power flow solver by Sam Yang et al
05-26-2022	Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks by Guilherme Vieira et al
05-26-2022	Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations by Ivan Marisca et al
05-24-2022	Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance by Jianhan Wu et al
05-25-2022	Towards Symbolic Time Series Representation Improved by Kernel Density Estimators by Matej Kloska et al
05-27-2022	Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos by Gautam Singh et al
05-24-2022	PLAtE: A Large-scale Dataset for List Page Web Extraction by Aidan San et al
05-25-2022	Machine learning method for return direction forecasting of Exchange Traded Funds using classification and regression models by Raphael P. B. Piovezan et al
05-24-2022	Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees by Banghua Zhu et al
05-25-2022	TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series by Anh-Duy Pham et al
05-24-2022	The Data-Production Dispositif by Milagros Miceli et al
05-25-2022	Deep interpretable ensembles by Lucas Kook et al
05-26-2022	Fast Vision Transformers with HiLo Attention by Zizheng Pan et al
05-25-2022	Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI by Lavanya Umapathy et al
05-26-2022	SigMaNet: One Laplacian to Rule Them All by Stefano Fiorini et al
05-26-2022	AutoTSG: Learning and Synthesis for Incident Troubleshooting by Manish Shetty et al
05-27-2022	What Dense Graph Do You Need for Self-Attention? by Yuxing Wang et al
05-27-2022	Scalable Interpretability via Polynomials by Abhimanyu Dubey et al
05-27-2022	Group-invariant max filtering by Jameson Cahill et al
05-26-2022	FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data by Yongxin Guo et al
05-24-2022	Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model by Sosuke Kobayashi et al
05-27-2022	MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task by Kota Dohi et al
05-26-2022	Global Normalization for Streaming Speech Recognition in a Modular Framework by Ehsan Variani et al
05-25-2022	Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors by Francesco Daghero et al
05-26-2022	The Effect of Task Ordering in Continual Learning by Samuel J. Bell et al
05-26-2022	Sparse Graph Learning for Spatiotemporal Time Series by Andrea Cini et al
05-26-2022	Kernel Ridgeless Regression is Inconsistent for Low Dimensions by Daniel Beaglehole et al
05-24-2022	CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing by Zhiwei Hao et al
05-26-2022	Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling by Christopher Liao et al
05-26-2022	Are Transformers Effective for Time Series Forecasting? by Ailing Zeng et al
05-26-2022	Transferable Adversarial Attack based on Integrated Gradients by Yi Huang et al
05-24-2022	Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision by Wei Gao et al
05-26-2022	Transfer and Share: Semi-Supervised Learning from Long-Tailed Data by Tong Wei et al
05-26-2022	How Powerful are K-hop Message Passing Graph Neural Networks by Jiarui Feng et al
05-24-2022	Gacs-Korner Common Information Variational Autoencoder by Michael Kleinman et al
05-26-2022	Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database by Dimitris Spathis et al
05-26-2022	Penalizing Proposals using Classifiers for Semi-Supervised Object Detection by Somnath Hazra et al
05-25-2022	Conformal Prediction Intervals with Temporal Dependence by Zhen Lin et al
05-26-2022	DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees by Peter Müller et al
05-25-2022	Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection by Dipendra Jha et al
05-27-2022	Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements by Szymon Płotka et al
05-26-2022	DeepJoint: Robust Survival Modelling Under Clinical Presence Shift by Vincent Jeanselme et al
05-24-2022	ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases by Bo He et al
05-25-2022	Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification by Anish Thite et al

05-24-2022	Deep Reinforcement Learning for Multi-class Imbalanced Training by Jenny Yang et al
05-26-2022	Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization by Minsu Kim et al
05-24-2022	EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling by Mitch Hill et al
05-24-2022	3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method by Buda Bajić et al
05-26-2022	Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency by Lingxiao Wang et al
05-24-2022	Taming the sign problem of explicitly antisymmetrized neural networks via rough activation functions by Nilin Abrahamsen et al
05-24-2022	sat2pc: Estimating Point Cloud of Building Roofs from 2D Satellite Images by Yoones Rezaei et al
05-26-2022	An Analytic Framework for Robust Training of Artificial Neural Networks by Ramin Barati et al
05-24-2022	Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks by Sizhe Chen et al
05-27-2022	Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier by Majid Ramezani et al
05-24-2022	Linear Connectivity Reveals Generalization Strategies by Jeevesh Juneja et al
05-25-2022	People counting system for retail analytics using edge AI by Karthik Reddy Kanjula et al
05-24-2022	FreDo: Frequency Domain-based Long-Term Time Series Forecasting by Fan-Keng Sun et al
05-24-2022	Learning to Assemble Geometric Shapes by Jinhwi Lee et al
05-24-2022	Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models by Ivan Kobyzev et al
05-24-2022	G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection by Liping Hou et al
05-24-2022	Federated singular value decomposition for high dimensional data by Anne Hartebrodt et al
05-26-2022	Triangular Contrastive Learning on Molecular Graphs by MinGyu Choi et al
05-24-2022	Uniform Generalization Bound on Time and Inverse Temperature for Gradient Descent Algorithm and its Application to Analysis of Simulated Annealing by Keisuke Suzuki
05-25-2022	Improving Subgraph Representation Learning via Multi-View Augmentation by Yili Shen et al
05-27-2022	Guided Exploration of Data Summaries by Brit Youngmann et al
05-24-2022	Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums by Sadegh Farhadkhani et al
05-25-2022	RADNet: Ensemble Model for Robust Glaucoma Classification in Color Fundus Images by Dmitrii Medvedev et al
05-26-2022	Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap by Luca Pesce et al
05-26-2022	Learning Dialogue Representations from Consecutive Utterances by Zhihan Zhou et al
05-25-2022	A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers by Xuchen You et al
05-25-2022	Learning Distributions by Generative Adversarial Networks: Approximation and Generalization by Yunfei Yang
05-26-2022	Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost by Sanae Amani et al
05-24-2022	Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification by Liang Xu et al
05-25-2022	Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently by Haoyuan Sun et al
05-26-2022	Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks by Zhiwei Bai et al
05-24-2022	Concurrent Credit Assignment for Data-efficient Reinforcement Learning by Emmanuel Daucé
05-26-2022	Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations by Xiangyu Qi et al
05-25-2022	VeriFi: Towards Verifiable Federated Unlearning by Xiangshan Gao et al
05-24-2022	One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks by Shutong Wu et al
05-26-2022	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes by Miao Lu et al
05-26-2022	MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control by Vittorio Caggiano et al
05-26-2022	SymNMF-Net for The Symmetric NMF Problem by Mingjie Li et al
05-24-2022	Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs by Çağatay Yıldız et al
05-24-2022	Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents by Hassan Fawaz et al
05-24-2022	Learning to Model Editing Processes by Machel Reid et al
05-25-2022	BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection by Mingxuan Lu et al
05-25-2022	Removing the fat from your posterior samples with margarine by Harry T. J. Bevins et al
05-26-2022	Can Foundation Models Help Us Achieve Perfect Secrecy? by Simran Arora et al
05-25-2022	A Universal Error Measure for Input Predictions Applied to Online Graph Problems by Giulia Bernardini et al
05-25-2022	EvoVGM: A Deep Variational Generative Model for Evolutionary Parameter Estimation by Amine M. Remita et al
05-26-2022	VectorAdam for Rotation Equivariant Geometry Optimization by Selena Ling et al
05-26-2022	DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning by Elham Soltanikazemi et al
05-24-2022	Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning by Hideya Ochiai et al
05-24-2022	Constrained Monotonic Neural Networks by Davor Runje et al
05-24-2022	Optimality Conditions and Algorithms for Top-K Arm Identification by Zihao Wang et al
05-24-2022	DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks by Lu Bai et al
05-27-2022	Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration by Thomas D. Barrett et al
05-25-2022	Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments by Liyu Chen et al
05-25-2022	Memorization in NLP Fine-tuning Methods by Fatemehsadat Mireshghallah et al
05-24-2022	Bias Discovery in Machine Learning Models for Mental Health by Pablo Mosteiro et al
05-25-2022	Formalizing Preferences Over Runtime Distributions by Devon R. Graham et al
05-27-2022	Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans by Jorma Järnstedt et al
05-26-2022	More Recent Advances in (Hyper)Graph Partitioning by Ümit V. Çatalyürek et al
05-26-2022	On Learning Mixture of Linear Regressions in the Non-Realizable Setting by Avishek Ghosh et al
05-26-2022	Friends to Help: Saving Federated Learning from Client Dropout by Heqiang Wang et al
05-25-2022	Image Colorization using U-Net with Skip Connections and Fusion Layer on Landscape Images by Muhammad Hisyam Zayd et al
05-24-2022	Penalized Proximal Policy Optimization for Safe Reinforcement Learning by Linrui zhang et al
05-26-2022	QSpeech: Low-Qubit Quantum Speech Application Toolkit by Zhenhou Hong et al
05-25-2022	Forecasting Patient Demand at Urgent Care Clinics using Machine Learning by Paula Maddigan et al
05-26-2022	Explaining Preferences with Shapley Values by Robert Hu et al
05-24-2022	Deletion and Insertion Tests in Regression Models by Naofumi Hama et al
05-24-2022	VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection by Hazim Hanif et al
05-24-2022	Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free by Tianlong Chen et al
05-24-2022	Forecasting Multilinear Data via Transform-Based Tensor Autoregression by Jackson Cates et al
05-25-2022	Towards Green AI with tensor networks -- Sustainability and innovation enabled by efficient algorithms by Eva Memmel et al
05-25-2022	Structured Uncertainty in the Observation Space of Variational Autoencoders by James Langley et al
05-24-2022	An interpretation of the final fully connected layer by Siddhartha
05-25-2022	Surprises in adversarially-trained linear regression by Antônio H. Ribeiro et al
05-24-2022	Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width by Hanxu Zhou et al
05-27-2022	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models by Erdun Gao et al
05-24-2022	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling by Shady E. Ahmed et al
05-25-2022	Heterogeneous Reservoir Computing Models for Persian Speech Recognition by Zohreh Ansari et al
05-25-2022	Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification by Abhishek Gupta et al
05-25-2022	An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation by Shuyu Yin et al
05-26-2022	Differentially Private Decoding in Large Language Models by Jimit Majmudar et al
05-24-2022	Pynblint: a Static Analyzer for Python Jupyter Notebooks by Luigi Quaranta et al
05-26-2022	A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision by Jacob Granley et al
05-27-2022	CIGMO: Categorical invariant representations in a deep generative framework by Haruo Hosoya
05-24-2022	PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization by Fabian Altekrüger et al
05-24-2022	D22UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion by Roman Jacome et al
05-26-2022	Circumventing Backdoor Defenses That Are Based on Latent Separability by Xiangyu Qi et al
05-25-2022	Rethinking Fanos Inequality in Ensemble Learning by Terufumi Morishita et al
05-24-2022	FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment by Zhiwei Ling et al
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05-24-2022	Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs by Christopher Sims
05-25-2022	Understanding Programmatic Weak Supervision via Source-aware Influence Function by Jieyu Zhang et al
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05-24-2022	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret by Jiawei Huang et al
05-25-2022	On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity by Vincent Szolnoky et al
05-25-2022	Impartial Games: A Challenge for Reinforcement Learning by Bei Zhou et al
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05-24-2022	Quadratic models for understanding neural network dynamics by Libin Zhu et al
05-24-2022	Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning by Yunhao Yang et al
05-24-2022	NFL: Robust Learned Index via Distribution Transformation by Shangyu Wu et al
05-25-2022	QGNN: Value Function Factorisation with Graph Neural Networks by Ryan Kortvelesy et al
05-25-2022	Semi-supervised Drifted Stream Learning with Short Lookback by Weijieying Ren et al
05-25-2022	Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model by Eric V. Strobl et al
05-25-2022	Amortized Inference for Causal Structure Learning by Lars Lorch et al
05-24-2022	K-12BERT: BERT for K-12 education by Vasu Goel et al
05-25-2022	NECA: Network-Embedded Deep Representation Learning for Categorical Data by Xiaonan Gao et al
05-27-2022	TraClets: Harnessing the power of computer vision for trajectory classification by Ioannis Kontopoulos et al
05-24-2022	An Adaptive Contrastive Learning Model for Spike Sorting by Lang Qian et al
05-27-2022	Sample-Efficient Optimisation with Probabilistic Transformer Surrogates by Alexandre Maraval et al
05-27-2022	Generalizing Brain Decoding Across Subjects with Deep Learning by Richard Csaky et al
05-24-2022	Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture by Libin Zhu et al
05-27-2022	Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer by Bin Lu et al
05-25-2022	Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking by Zhenxiao Zhang et al
05-25-2022	GraphPMU: Event Clustering via Graph Representation Learning Using Locationally-Scarce Distribution-Level Fundamental and Harmonic PMU Measurements by Armin Aligholian et al
05-26-2022	FedFormer: Contextual Federation with Attention in Reinforcement Learning by Liam Hebert et al
05-26-2022	Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics by Wei Dai et al
05-27-2022	Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions by Evan R. Antoniuk et al
05-24-2022	TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models by Andrew Engel et al
05-25-2022	Service Discovery in Social Internet of Things using Graph Neural Networks by Aymen Hamrouni et al
05-27-2022	ProtoFSSL: Federated Semi-Supervised Learning with Prototype-based Consistency Regularization by Woojung Kim et al
05-26-2022	Training and Inference on Any-Order Autoregressive Models the Right Way by Andy Shih et al
05-26-2022	Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits by Subhojyoti Mukherjee
05-25-2022	Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors by Borja Molina-Coronado et al
05-25-2022	Scalable Online Change Detection for High-dimensional Data Streams by Florian Kalinke et al
05-24-2022	Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production by Luigi Quaranta
05-27-2022	Inference and Sampling for Archimax Copulas by Yuting Ng et al
05-25-2022	RACE: A Reinforcement Learning Framework for Improved Adaptive Control of NoC Channel Buffers by Kamil Khan et al
05-26-2022	Tensor Program Optimization with Probabilistic Programs by Junru Shao et al
05-24-2022	Recipe for a General, Powerful, Scalable Graph Transformer by Ladislav Rampášek et al
05-25-2022	Deep-XFCT: Deep learning 3D-mineral liberation analysis with micro X-ray fluorescence and computed tomography by Patrick Kin Man Tung et al
05-26-2022	DP-PCA: Statistically Optimal and Differentially Private PCA by Xiyang Liu et al
05-26-2022	Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters by Seyed Kamyar Seyed Ghasemipour et al
05-25-2022	Learning from time-dependent streaming data with online stochastic algorithms by Antoine Godichon-Baggioni et al
05-27-2022	Double Deep Q Networks for Sensor Management in Space Situational Awareness by Benedict Oakes et al
05-27-2022	On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps by Takumi Fukunaga et al
05-27-2022	Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control by Jinming Ma et al
05-27-2022	Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation by Ankita Tondwalkar et al
05-25-2022	Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions by Saeed Masiha et al
05-26-2022	Evolution of beliefs in social networks by Pushpi Paranamana et al
05-24-2022	Faithful Explanations for Deep Graph Models by Zifan Wang et al
05-25-2022	Trainable Weight Averaging for Fast Convergence and Better Generalization by Tao Li et al
05-27-2022	AANG: Automating Auxiliary Learning by Lucio M. Dery et al
05-27-2022	Combining observational datasets from multiple environments to detect hidden confounding by Rickard K. A. Karlsson et al
05-24-2022	Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition by Xihao Xie et al
05-24-2022	Linear Algorithms for Nonparametric Multiclass Probability Estimation by Liyun Zeng et al
05-24-2022	Augmentation-induced Consistency Regularization for Classification by Jianhan Wu et al
05-24-2022	Asynchronous Neural Networks for Learning in Graphs by Lukas Faber et al
05-25-2022	Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization by Sungryull Sohn et al
05-25-2022	Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes by Alessio Mazzetto et al
05-25-2022	Analytics of Business Time Series Using Machine Learning and Bayesian Inference by Bohdan M. Pavlyshenko
05-25-2022	Toward Discovering Options that Achieve Faster Planning by Yi Wan et al

05-26-2022	Faster Optimization on Sparse Graphs via Neural Reparametrization by Nima Dehmamy et al
05-27-2022	Fast Causal Orientation Learning in Directed Acyclic Graphs by Ramin Safaeian et al
05-27-2022	Meta-Learning Adversarial Bandits by Maria-Florina Balcan et al
05-26-2022	Learning with Stochastic Orders by Carles Domingo-Enrich et al
05-26-2022	Membership Inference Attack Using Self Influence Functions by Gilad Cohen et al
05-24-2022	Reward Uncertainty for Exploration in Preference-based Reinforcement Learning by Xinran Liang et al
05-27-2022	Non-Markovian policies occupancy measures by Romain Laroche et al
05-25-2022	Contextual Pandoras Box by Alexia Atsidakou et al
05-27-2022	A Sea of Words: An In-Depth Analysis of Anchors for Text Data by Gianluigi Lopardo et al
05-25-2022	Learning to Query Internet Text for Informing Reinforcement Learning Agents by Kolby Nottingham et al
05-25-2022	TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature by Cuiying Huo et al
05-24-2022	Differentially Private AUC Computation in Vertical Federated Learning by Jiankai Sun et al
05-27-2022	Automated Dynamic Algorithm Configuration by Steven Adriaensen et al
05-24-2022	Attributing AUC-ROC to Analyze Binary Classifier Performance by Arya Tafvizi et al
05-27-2022	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks by Runlin Lei et al
05-27-2022	Fairness and Welfare Quantification for Regret in Multi-Armed Bandits by Siddharth Barman et al
05-27-2022	Standalone Neural ODEs with Sensitivity Analysis by Rym Jaroudi et al
05-24-2022	Compression-aware Training of Neural Networks using Frank-Wolfe by Max Zimmer et al
05-25-2022	RENs: Relevance Encoding Networks by Krithika Iyer et al
05-25-2022	Factorized Structured Regression for Large-Scale Varying Coefficient Models by David Rügamer et al
05-24-2022	Non-stationary Bandits with Knapsacks by Shang Liu et al
05-25-2022	Skill Machines: Temporal Logic Composition in Reinforcement Learning by Geraud Nangue Tasse et al
05-24-2022	Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space by Muhammad Abdullah Naeem et al
05-24-2022	Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy by Limor Gultchin et al
05-26-2022	Fast variable selection makes scalable Gaussian process BSS-ANOVA a speedy and accurate choice for tabular and time series regression by David S. Mebane et al
05-27-2022	Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering by Xing Han et al
05-26-2022	HOUDINI: Escaping from Moderately Constrained Saddles by Dmitrii Avdiukhin et al
05-27-2022	Deep Ensembles for Graphs with Higher-order Dependencies by Steven J. Krieg et al
05-26-2022	BagFlip: A Certified Defense against Data Poisoning by Yuhao Zhang et al
05-26-2022	Subverting machines, fluctuating identities: Re-learning human categorization by Christina Lu et al
05-27-2022	Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows by Eike Cramer et al
05-27-2022	Prototype Based Classification from Hierarchy to Fairness by Mycal Tucker et al
05-24-2022	Imposing Gaussian Pre-Activations in a Neural Network by Pierre Wolinski et al
05-26-2022	Predictor-corrector algorithms for stochastic optimization under gradual distribution shift by Subha Maity et al
05-26-2022	Understanding new tasks through the lens of training data via exponential tilting by Subha Maity et al
05-27-2022	Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy by Lin Wang et al
05-26-2022	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations by Steffen Schotthöfer et al
05-26-2022	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning by Liam Collins et al
05-26-2022	Approximate Q-learning and SARSA(0) under the ϵϵ-greedy Policy: a Differential Inclusion Analysis by Aditya Gopalan et al
05-25-2022	Federated Self-supervised Learning for Heterogeneous Clients by Disha Makhija et al
05-27-2022	Finite mixture of skewed sub-Gaussian stable distributions by Mahdi Teimouri
05-27-2022	Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks by Paolo Muratore et al
05-25-2022	Learning dynamics from partial observations with structured neural ODEs by Mona Buisson-Fenet et al
05-27-2022	fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems by Alberto Marchisio et al
05-27-2022	Counterfactual Analysis in Dynamic Models: Copulas and Bounds by Martin Haugh et al
05-26-2022	Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification by Mengyu Li et al
05-24-2022	Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation by Akash Doshi et al
05-27-2022	Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks by Jonas Schumacher et al
05-26-2022	Fairness in Recommendation: A Survey by Yunqi Li et al
05-27-2022	Dual Convexified Convolutional Neural Networks by Site Bai et al
05-24-2022	Wavelet Feature Maps Compression for Image-to-Image CNNs by Shahaf E. Finder et al
05-27-2022	Error Bound of Empirical ℓ2ℓ2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems by Junren Chen et al
05-27-2022	Spartan: Differentiable Sparsity via Regularized Transportation by Kai Sheng Tai et al
05-27-2022	Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits by Gergely Neu et al
05-27-2022	Robust Counterfactual Explanations for Random Forests by Alexandre Forel et al
05-27-2022	Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space by Johannes Müller et al
05-27-2022	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces by Vladimir Kostic et al
05-27-2022	Benign Overparameterization in Membership Inference with Early Stopping by Jasper Tan et al
05-24-2022	lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents by Rachmad Vidya Wicaksana Putra et al
05-27-2022	Deep Coding Patterns Design for Compressive Near-Infrared Spectral Classification by Jorge Bacca et al
05-27-2022	Global Convergence of Over-parameterized Deep Equilibrium Models by Zenan Ling et al
05-27-2022	Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation by Axel Wassington et al
05-27-2022	PSL is Dead. Long Live PSL by Kevin Smith et al
05-24-2022	FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation by Xuan Kan et al
05-24-2022	Hardness of Maximum Likelihood Learning of DPPs by Elena Grigorescu et al
05-26-2022	Hazard Gradient Penalty for Survival Analysis by Seungjae Jung et al
05-27-2022	Probabilistic Systems with Hidden State and Unobservable Transitions by Rebecca Bernemann et al
05-27-2022	Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers by Francesco Daghero et al
05-24-2022	Multi-Head Online Learning for Delayed Feedback Modeling by Hui Gao et al
05-26-2022	ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting by Jingwei Guo et al
05-26-2022	Transformer for Partial Differential Equations Operator Learning by Zijie Li et al
05-26-2022	A Unified Analysis of Federated Learning with Arbitrary Client Participation by Shiqiang Wang et al
05-27-2022	Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models by Minting Pan et al
05-27-2022	Capturing Graphs with Hypo-Elliptic Diffusions by Csaba Toth et al
05-26-2022	Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets by Mike A. Merrill et al
05-24-2022	MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning by Stephanie Milani et al
05-26-2022	Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training by Antonio Robles-Kelly et al
05-26-2022	Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training by Ankita Paul et al
05-26-2022	Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment by Zixian Yang et al
05-26-2022	Group GAN by Ali Seyfi et al
05-26-2022	Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture by Yicheng Wang et al
05-24-2022	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation by Yijun Tian et al
05-26-2022	Pruning has a disparate impact on model accuracy by Cuong Tran et al
05-25-2022	A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning by Seunghyuk Cho et al
05-27-2022	Counterfactual Fairness with Partially Known Causal Graph by Aoqi Zuo et al
05-27-2022	Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications by Ayesha Afzal et al
05-27-2022	Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem by Takumi Fukunaga et al
05-25-2022	Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data by Seungjoon Lee et al
05-26-2022	A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions by Syed Hasib Akhter Faruqui et al
05-26-2022	Off-Beat Multi-Agent Reinforcement Learning by Wei Qiu et al
05-26-2022	Emergent organization of receptive fields in networks of excitatory and inhibitory neurons by Leon Lufkin et al
05-27-2022	Bayesian Robust Graph Contrastive Learning by Yancheng Wang et al
05-26-2022	Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods by Michael Whitehouse et al
05-26-2022	On Consistency in Graph Neural Network Interpretation by Tianxiang Zhao et al
05-26-2022	Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences by Giovanni De Toni et al
05-24-2022	Fast & Furious: Modelling Malware Detection as Evolving Data Streams by Fabrício Ceschin et al
05-27-2022	End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control by Moritz Reuss et al
05-26-2022	Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification by Thu Nguyen et al
05-26-2022	Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array by Andre Xian Ming Chang et al
05-26-2022	SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching by Liren Yu et al
05-26-2022	Mixed Federated Learning: Joint Decentralized and Centralized Learning by Sean Augenstein et al
05-26-2022	RIGID: Robust Linear Regression with Missing Data by Alireza Aghasi et al
05-27-2022	Surrogate modeling for Bayesian optimization beyond a single Gaussian process by Qin Lu et al
05-27-2022	Generalization Bounds for Gradient Methods via Discrete and Continuous Prior by Jian Li et al
05-24-2022	Boosting Tail Neural Network for Realtime Custom Keyword Spotting by Sihao Xue et al
05-27-2022	AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation by Qiyuan Wang et al
05-24-2022	Low-rank Optimal Transport: Approximation, Statistics and Debiasing by Meyer Scetbon et al
05-24-2022	DPSNN: A Differentially Private Spiking Neural Network by Jihang Wang et al