2022.2.14 Learning papers

02-08-2022	Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning by Stephen James et al
02-10-2022	Deconstructing The Inductive Biases Of Hamiltonian Neural Networks by Nate Gruver et al
02-08-2022	The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms by Jiwoong J. Jeong et al
02-10-2022	ChemicalX: A Deep Learning Library for Drug Pair Scoring by Benedek Rozemberczki et al
02-10-2022	Locating and Editing Factual Knowledge in GPT by Kevin Meng et al
02-08-2022	Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models by Boxin Wang et al
02-10-2022	Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel by Kaito Watanabe et al
02-09-2022	Generating Training Data with Language Models: Towards Zero-Shot Language Understanding by Yu Meng et al
02-09-2022	pNLP-Mixer: an Efficient all-MLP Architecture for Language by Francesco Fusco et al
02-10-2022	Adaptively Exploiting d-Separators with Causal Bandits by Blair Bilodeau et al
02-08-2022	Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning by Bryon Tjanaka et al
02-10-2022	Cross-speaker style transfer for text-to-speech using data augmentation by Manuel Sam Ribeiro et al
02-10-2022	Discovering Quantum Phase Transitions with Fermionic Neural Networks by G. Cassella et al
02-09-2022	Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap by Charita Dellaporta et al
02-10-2022	A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective by Erfan Al-Hossami et al
02-10-2022	Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging by Anastasios N Angelopoulos et al
02-08-2022	Generative multitask learning mitigates target-causing confounding by Taro Makino et al
02-10-2022	Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers by Matthew L. Daggitt et al
02-10-2022	P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints by Jan Kronqvist et al
02-10-2022	SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition by Dylan Slack et al
02-08-2022	Self-Conditioned Generative Adversarial Networks for Image Editing by Yunzhe Liu et al
02-09-2022	Predicting Human Similarity Judgments Using Large Language Models by Raja Marjieh et al
02-08-2022	Results and findings of the 2021 Image Similarity Challenge by Zoë Papakipos et al
02-09-2022	Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations by Yu Meng et al
02-08-2022	Efficient Algorithms for High-Dimensional Convex Subspace Optimization via Strict Complementarity by Dan Garber et al
02-09-2022	Optimal learning rate schedules in high-dimensional non-convex optimization problems by Stéphane d'Ascoli et al
02-09-2022	Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods by Yujia Jin et al
02-09-2022	Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow by Thanh Nguyen-Duc et al
02-08-2022	Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems by Dan Garber et al
02-08-2022	InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training by Zehua Chen et al
02-09-2022	FedQAS: Privacy-aware machine reading comprehension with federated learning by Addi Ait-Mlouk et al
02-10-2022	Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier by Ruida Xie et al
02-10-2022	Remote Contextual Bandits by Francesco Pase et al
02-09-2022	Designing Closed Human-in-the-loop Deferral Pipelines by Vijay Keswani et al
02-11-2022	Distributed saddle point problems for strongly concave-convex functions by Muhammad I. Qureshi et al
02-10-2022	Conditional Diffusion Probabilistic Model for Speech Enhancement by Yen-Ju Lu et al
02-11-2022	Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality by Daniel Watson et al
02-11-2022	Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing by Ecenaz Erdemir et al
02-08-2022	Width is Less Important than Depth in ReLU Neural Networks by Gal Vardi et al
02-10-2022	Equivariance Regularization for Image Reconstruction by Junqi Tang
02-08-2022	Modeling Structure with Undirected Neural Networks by Tsvetomila Mihaylova et al
02-11-2022	End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking by Arpit Bansal et al
02-08-2022	How to Understand Masked Autoencoders by Shuhao Cao et al
02-10-2022	Universal Learning Waveform Selection Strategies for Adaptive Target Tracking by Charles E. Thornton et al
02-09-2022	Augmenting Neural Networks with Priors on Function Values by Hunter Nisonoff et al
02-11-2022	Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer by Yair Kittenplon et al
02-09-2022	Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets by Tianlong Chen et al
02-10-2022	Generalization Bounds via Convex Analysis by Gergely Neu et al
02-10-2022	PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty by Paz Fink Shustin et al
02-09-2022	Reproducibility in Optimization: Theoretical Framework and Limits by Kwangjun Ahn et al
02-10-2022	Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials by Andrew Ma et al
02-09-2022	Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers by Yoshio Ebihara et al
02-08-2022	From Generalisation Error to Transportation-cost Inequalities and Back by Amedeo Roberto Esposito et al
02-09-2022	Noise fingerprints in quantum computers: Machine learning software tools by Stefano Martina et al
02-10-2022	Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment by Shivani Kamtikar et al
02-08-2022	SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees by Tayyebeh Jahani-Nezhad et al
02-10-2022	Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs by Leonardo Lucio Custode et al
02-10-2022	Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning by Zehao Dou et al
02-08-2022	Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer by Yutong Xie et al
02-09-2022	Bayesian Nonparametrics for Offline Skill Discovery by Valentin Villecroze et al
02-09-2022	Can Humans Do Less-Than-One-Shot Learning? by Maya Malaviya et al
02-11-2022	Online Decision Transformer by Qinqing Zheng et al
02-09-2022	Predicting the intended action using internal simulation of perception by Zahra Gharaee
02-10-2022	Semi-Supervised Convolutive NMF for Automatic Music Transcription by Haoran Wu et al
02-09-2022	Exact Solutions of a Deep Linear Network by Liu Ziyin et al
02-10-2022	Bayes Optimal Algorithm is Suboptimal in Frequentist Best Arm Identification by Junpei Komiyama
02-08-2022	A two-step approach to leverage contextual data: speech recognition in air-traffic communications by Iuliia Nigmatulina et al
02-10-2022	AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems by Yingzhanghao Zhou et al
02-08-2022	Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network by Yoshiaki Kawase et al
02-11-2022	ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning by Jia Huei Tan et al
02-10-2022	Settling the Communication Complexity for Distributed Offline Reinforcement Learning by Juliusz Krysztof Ziomek et al
02-09-2022	FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model by Javad Hassannataj Joloudari et al
02-10-2022	Backpropagation Clipping for Deep Learning with Differential Privacy by Timothy Stevens et al
02-09-2022	Smoothed Online Learning is as Easy as Statistical Learning by Adam Block et al
02-08-2022	Police Text Analysis: Topic Modeling and Spatial Relative Density Estimation by Sarah Huestis-Mitchell et al
02-10-2022	Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory by Ruiqi Zhang et al
02-09-2022	A Neural Network Model of Continual Learning with Cognitive Control by Jacob Russin et al
02-08-2022	Semantic features of object concepts generated with GPT-3 by Hannes Hansen et al
02-10-2022	Including Facial Expressions in Contextual Embeddings for Sign Language Generation by Carla Viegas et al
02-10-2022	SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics by Atul Kumar Sinha et al
02-08-2022	SCR: Smooth Contour Regression with Geometric Priors by Gaetan Bahl et al
02-10-2022	Deep Learning for Computational Cytology: A Survey by Hao Jiang et al
02-10-2022	F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization by Qing Jin et al
02-09-2022	Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network by Muhammad Shahzad et al
02-08-2022	Equivariance versus Augmentation for Spherical Images by Jan E. Gerken et al
02-10-2022	Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints by Christian Soize
02-10-2022	Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case by Luis Pedro Silvestrin et al
02-09-2022	Adapting to Mixing Time in Stochastic Optimization with Markovian Data by Ron Dorfman et al
02-11-2022	The Shapley Value in Machine Learning by Benedek Rozemberczki et al
02-09-2022	Non-Linear Spectral Dimensionality Reduction Under Uncertainty by Firas Laakom et al
02-10-2022	Barwise Compression Schemes for Audio-Based Music Structure Analysis by Axel Marmoret et al
02-10-2022	Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning by Krzysztof Z. Gajos et al
02-10-2022	Low-Rank Approximation with 1/ϵ1/31/ϵ1/3 Matrix-Vector Products by Ainesh Bakshi et al
02-10-2022	Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks by Sitan Chen et al
02-10-2022	Feature-level augmentation to improve robustness of deep neural networks to affine transformations by Adrian Sandru et al
02-09-2022	Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating by Ikbeom Jang et al
02-09-2022	Learning Latent Causal Dynamics by Weiran Yao et al
02-09-2022	A new perspective on classification: optimally allocating limited resources to uncertain tasks by Toon Vanderschueren et al
02-09-2022	Offline Reinforcement Learning with Realizability and Single-policy Concentrability by Wenhao Zhan et al
02-10-2022	Random Forests Weighted Local Fr\echet Regression with Theoretical Guarantee by Rui Qiu et al
02-10-2022	Domain Adversarial Training: A Game Perspective by David Acuna et al
02-09-2022	CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention by Julian Schmidt et al
02-08-2022	Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning by Sattar Vakili et al
02-08-2022	Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data by Shadi Rahimian et al
02-09-2022	The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence by Shubhayu Bhattacharyay et al
02-08-2022	Parsimonious Learning-Augmented Caching by Sungjin Im et al
02-08-2022	A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography by Juan Zuluaga-Gomez et al
02-08-2022	Deep learning for drug repurposing: methods, databases, and applications by Xiaoqin Pan et al
02-08-2022	Improving Computational Complexity in Statistical Models with Second-Order Information by Tongzheng Ren et al
02-10-2022	Energy-Based Contrastive Learning of Visual Representations by Beomsu Kim et al
02-08-2022	Verification-Aided Deep Ensemble Selection by Guy Amir et al
02-09-2022	Online Learning to Transport via the Minimal Selection Principle by Wenxuan Guo et al
02-08-2022	Rainbow Differential Privacy by Ziqi Zhou et al
02-08-2022	Uncertainty Modeling for Out-of-Distribution Generalization by Xiaotong Li et al
02-09-2022	End-to-End Blind Quality Assessment for Laparoscopic Videos using Neural Networks by Zohaib Amjad Khan et al
02-09-2022	Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation by Jogendra Nath Kundu et al
02-10-2022	Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings by Alan Mishler et al
02-10-2022	Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression by Masahiro Kato et al
02-10-2022	Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace by Soheil Sadeghi Eshkevari et al

02-09-2022	Dimensionally Consistent Learning with Buckingham Pi by Joseph Bakarji et al
02-09-2022	A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems by Katiana Kontolati et al
02-10-2022	On One-Bit Quantization by Sourbh Bhadane et al
02-10-2022	Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data by Kyeong-Joong Jeong et al
02-11-2022	Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models by Abigail Swenor et al
02-08-2022	Detecting Anomalies within Time Series using Local Neural Transformations by Tim Schneider et al
02-09-2022	New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees by Dan Garber et al
02-08-2022	Systematically improving existing k-means initialization algorithms at nearly no cost, by pairwise-nearest-neighbor smoothing by Carlo Baldassi
02-08-2022	Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration by Matthias Rath et al
02-09-2022	Cost-effective Framework for Gradual Domain Adaptation with Multifidelity by Shogo Sagawa et al
02-09-2022	Agree to Disagree: Diversity through Disagreement for Better Transferability by Matteo Pagliardini et al
02-08-2022	Class Density and Dataset Quality in High-Dimensional, Unstructured Data by Adam Byerly et al
02-08-2022	Data Consistency for Weakly Supervised Learning by Chidubem Arachie et al
02-08-2022	Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings by Ali Girayhan Özbay et al
02-08-2022	skrl: Modular and Flexible Library for Reinforcement Learning by Antonio Serrano-Muñoz et al
02-08-2022	Provable Reinforcement Learning with a Short-Term Memory by Yonathan Efroni et al
02-09-2022	Exploring Structural Sparsity in Neural Image Compression by Shanzhi Yin et al
02-08-2022	Deep Neural Networks to Correct Sub-Precision Errors in CFD by Akash Haridas et al
02-09-2022	Target-aware Molecular Graph Generation by Cheng Tan et al
02-09-2022	L0Learn: A Scalable Package for Sparse Learning using L0 Regularization by Hussein Hazimeh et al
02-09-2022	Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals by Yan Zuo et al
02-09-2022	Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization by Adrianna Janik et al
02-10-2022	Describing image focused in cognitive and visual details for visually impaired people: An approach to generating inclusive paragraphs by Daniel Louzada Fernandes et al
02-08-2022	Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning by Meet P. Vadera et al
02-10-2022	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation by Chaochao Chen et al
02-08-2022	Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion by Ling Yang et al
02-08-2022	Particle Transformer for Jet Tagging by Huilin Qu et al
02-10-2022	Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization by David Durfee et al
02-09-2022	A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks by Michael Weylandt et al
02-09-2022	Transferred Q-learning by Elynn Y. Chen et al
02-08-2022	The Rate-Distortion-Perception Tradeoff: The Role of Common Randomness by Aaron B. Wagner
02-10-2022	Understanding Rare Spurious Correlations in Neural Networks by Yao-Yuan Yang et al
02-10-2022	Deadwooding: Robust Global Pruning for Deep Neural Networks by Sawinder Kaur et al
02-08-2022	Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations by Kazuki Adachi et al
02-10-2022	DDA3C: Cooperative Distributed Deep Reinforcement Learning in A Group-Agent System by Kaiyue Wu et al
02-10-2022	Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs by Dennis Pinto et al
02-08-2022	Robust Hybrid Learning With Expert Augmentation by Antoine Wehenkel et al
02-10-2022	Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment by Jemin Lee et al
02-08-2022	PrivFair: a Library for Privacy-Preserving Fairness Auditing by Sikha Pentyala et al
02-08-2022	A multiscale spatiotemporal approach for smallholder irrigation detection by Terence Conlon et al
02-08-2022	Optimal Transport of Binary Classifiers to Fairness by Maarten Buyl et al
02-08-2022	Unsupervised Source Separation via Self-Supervised Training by Ertuğ Karamatlı et al
02-08-2022	Time Series Anomaly Detection by Cumulative Radon Features by Yedid Hoshen
02-10-2022	REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer by Xingyu Liu et al
02-09-2022	Conditional Drums Generation using Compound Word Representations by Dimos Makris et al
02-10-2022	Online Learning for Min Sum Set Cover and Pandoras Box by Evangelia Gergatsouli et al
02-09-2022	Log-based Anomaly Detection with Deep Learning: How Far Are We? by Van Hoang Le et al
02-08-2022	Efficiently Escaping Saddle Points in Bilevel Optimization by Minhui Huang et al
02-08-2022	Calibrated Learning to Defer with One-vs-All Classifiers by Rajeev Verma et al
02-08-2022	Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification by Gustavo Henrique de Rosa et al
02-10-2022	Controlling the Complexity and Lipschitz Constant improves polynomial nets by Zhenyu Zhu et al
02-10-2022	Characterizing, Detecting, and Predicting Online Ban Evasion by Manoj Niverthi et al
02-08-2022	Fourier Representations for Black-Box Optimization over Categorical Variables by Hamid Dadkhahi et al
02-10-2022	Graph Neural Network for Local Corruption Recovery by Bingxin Zhou et al
02-10-2022	Loss-guided Stability Selection by Tino Werner
02-09-2022	False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger by Muhammad Umer et al
02-10-2022	Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals by Daniel Hsu et al
02-09-2022	No-Regret Learning in Dynamic Stackelberg Games by Niklas Lauffer et al
02-11-2022	The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention by Kazuki Irie et al
02-08-2022	Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters by Luc Brogat-Motte et al
02-08-2022	Learning Sinkhorn divergences for supervised change point detection by Nauman Ahad et al
02-08-2022	Transferable Student Performance Modeling for Intelligent Tutoring Systems by Robin Schmucker et al
02-08-2022	Physics-informed neural networks for solving parametric magnetostatic problems by Andrés Beltrán-Pulido et al
02-08-2022	Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence by Dongsheng Ding et al
02-08-2022	TransformNet: Self-supervised representation learning through predicting geometric transformations by Sayed Hashim et al
02-10-2022	Monotone Learning by Olivier Bousquet et al
02-09-2022	Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models by Viktor Bengs et al
02-11-2022	Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning by Said Ouala et al
02-08-2022	Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders by Young-geun Kim et al
02-11-2022	A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning by Tassadaq Hussain et al
02-08-2022	PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX by Guangyao Zhou et al
02-10-2022	On characterizations of learnability with computable learners by Tom F. Sterkenburg
02-11-2022	Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system by Haoyang Cao et al
02-10-2022	Dual Task Framework for Debiasing Persona-grounded Dialogue Dataset by Minju Kim et al
02-09-2022	Adjoint-aided inference of Gaussian process driven differential equations by Paterne Gahungu et al
02-08-2022	Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs by Georg Kohl et al
02-09-2022	A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression by Laure Crochepierre et al
02-09-2022	Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making by Wenbo Sun et al
02-10-2022	Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data by Andreas Holm Nielsen et al
02-08-2022	KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting by Muhammad Ali Chattha et al
02-08-2022	Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a Soft VSA Representation for JSON by Stephen I. Gallant
02-09-2022	Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget by Jasmin Brandt et al
02-09-2022	Model Architecture Adaption for Bayesian Neural Networks by Duo Wang et al
02-09-2022	A hypothesis-driven method based on machine learning for neuroimaging data analysis by JM Gorriz et al
02-10-2022	Adaptive and Robust Multi-task Learning by Yaqi Duan et al
02-09-2022	Survey on Graph Neural Network Acceleration: An Algorithmic Perspective by Xin Liu et al
02-09-2022	Lightweight Jet Reconstruction and Identification as an Object Detection Task by Adrian Alan Pol et al
02-08-2022	Understanding the bias-variance tradeoff of Bregman divergences by Ben Adlam et al
02-10-2022	Instance-wise algorithm configuration with graph neural networks by Romeo Valentin et al
02-09-2022	Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification by Lorenzo Chicchi et al
02-08-2022	Distribution Regression with Sliced Wasserstein Kernels by Dimitri Meunier et al
02-11-2022	What Does it Mean for a Language Model to Preserve Privacy? by Hannah Brown et al
02-09-2022	Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm by Sheng-Guo Wang et al
02-08-2022	Cascaded Debiasing : Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions by Bhavya Ghai et al
02-08-2022	Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring by Madhurananda Pahar et al
02-09-2022	A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement by Leandro Aparecido Passos et al
02-08-2022	Budgeted Combinatorial Multi-Armed Bandits by Debojit Das et al
02-10-2022	Computational-Statistical Gaps in Reinforcement Learning by Daniel Kane et al
02-08-2022	Robustness Verification for Attention Networks using Mixed Integer Programming by Hsuan-Cheng Liao et al
02-09-2022	Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time by David P. Woodruff et al
02-10-2022	AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks by Yimin Yang et al
02-08-2022	A Unified Prediction Framework for Signal Maps by Emmanouil Alimpertis et al
02-08-2022	GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs by Ciwan Ceylan et al
02-10-2022	Unaligned but Safe -- Formally Compensating Performance Limitations for Imprecise 2D Object Detection by Tobias Schuster et al
02-09-2022	Optimising hadronic collider simulations using amplitude neural networks by Ryan Moodie
02-08-2022	Learnings from Federated Learning in the Real world by Christophe Dupuy et al
02-10-2022	Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction by Chuhan Wu et al
02-10-2022	Quantization in Layers Input is Matter by Daning Cheng et al
02-10-2022	Achieving Minimax Rates in Pool-Based Batch Active Learning by Claudio Gentile et al
02-09-2022	On the Implicit Bias of Gradient Descent for Temporal Extrapolation by Edo Cohen-Karlik et al
02-11-2022	InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification by Hugues Turbé et al
02-11-2022	Towards Adversarially Robust Deepfake Detection: An Ensemble Approach by Ashish Hooda et al
02-11-2022	SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification by Keyu Chen et al
02-10-2022	Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design by Arun Zachariah et al
02-08-2022	Regulatory Instruments for Fair Personalized Pricing by Renzhe Xu et al
02-11-2022	Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks by Sangmin Lee et al
02-11-2022	A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit by Vladimir A. Kobzar et al
02-11-2022	A Modern Self-Referential Weight Matrix That Learns to Modify Itself by Kazuki Irie et al
02-08-2022	A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets by Jie Wang et al
02-10-2022	Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient by Max W. Shen
02-09-2022	Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL by Rui Yang et al
02-08-2022	Linear Time Kernel Matrix Approximation via Hyperspherical Harmonics by John Paul Ryan et al
02-08-2022	Federated Learning of Generative Image Priors for MRI Reconstruction by Gokberk Elmas et al
02-08-2022	An Improved Analysis of Gradient Tracking for Decentralized Machine Learning by Anastasia Koloskova et al
02-11-2022	Continual Learning with Invertible Generative Models by Jary Pomponi et al
02-10-2022	Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning by A. Feder Cooper et al
02-09-2022	TinyM22Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices by Hasib-Al Rashid et al
02-08-2022	A Mini-Block Natural Gradient Method for Deep Neural Networks by Achraf Bahamou et al
02-09-2022	Measuring disentangled generative spatio-temporal representation by Sichen Zhao et al
02-09-2022	Active Learning Improves Performance on Symbolic RegressionTasks in StackGP by Nathan Haut et al
02-09-2022	Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo by Ignacio Peis et al
02-08-2022	Evaluating Causal Inference Methods by Harsh Parikh et al
02-11-2022	A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation by Pascal Peter
02-09-2022	Understanding Hyperdimensional Computing for Parallel Single-Pass Learning by Tao Yu et al
02-08-2022	MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis by Haodi Zhang et al
02-10-2022	A Survey on Programmatic Weak Supervision by Jieyu Zhang et al
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