2022.3.21 Learning papers

03-16-2022	The Mathematics of Artificial Intelligence by Gitta Kutyniok
03-15-2022	Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective by Gowthami Somepalli et al
03-16-2022	Object discovery and representation networks by Olivier J. Hénaff et al
03-16-2022	HybridNets: End-to-End Perception Network by Dat Vu et al
03-17-2022	One-Shot Adaptation of GAN in Just One CLIP by Gihyun Kwon et al
03-16-2022	Memorizing Transformers by Yuhuai Wu et al
03-15-2022	Does Corpus Quality Really Matter for Low-Resource Languages? by Mikel Artetxe et al
03-17-2022	Transframer: Arbitrary Frame Prediction with Generative Models by Charlie Nash et al
03-15-2022	One Network Doesnt Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning by Sharath Girish et al
03-16-2022	Dual Diffusion Implicit Bridges for Image-to-Image Translation by Xuan Su et al
03-16-2022	Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act by Alexis Jacq et al
03-15-2022	Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data by Sijia Li et al
03-15-2022	Surrogate Gap Minimization Improves Sharpness-Aware Training by Juntang Zhuang et al
03-17-2022	Time and the Value of Data by Ehsan Valavi et al
03-16-2022	AI Autonomy: Self-Initiation, Adaptation and Continual Learning by Bing Liu et al
03-16-2022	Context-Aware Drift Detection by Oliver Cobb et al
03-16-2022	Kan Extensions in Data Science and Machine Learning by Dan Shiebler
03-17-2022	Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed by Toni Karvonen et al
03-17-2022	The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents by Patrick M. Pilarski et al
03-15-2022	Diffusion Probabilistic Modeling for Video Generation by Ruihan Yang et al
03-16-2022	Unsupervised Semantic Segmentation by Distilling Feature Correspondences by Mark Hamilton et al
03-17-2022	How Many Data Samples is an Additional Instruction Worth? by Ravsehaj Singh Puri et al
03-17-2022	AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation by Paritosh Mittal et al
03-15-2022	Improving Word Translation via Two-Stage Contrastive Learning by Yaoyiran Li et al
03-16-2022	Multimodal Learning on Graphs for Disease Relation Extraction by Yucong Lin et al
03-17-2022	Prediction of speech intelligibility with DNN-based performance measures by Angel Mario Castro Martinez et al
03-17-2022	Visualizing Riemannian data with Rie-SNE by Andri Bergsson et al
03-15-2022	Unified Visual Transformer Compression by Shixing Yu et al
03-17-2022	An Interactive Explanatory AI System for Industrial Quality Control by Dennis Müller et al
03-16-2022	FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction by Chen-Yu Lee et al
03-17-2022	Time Dependency, Data Flow, and Competitive Advantage by Ehsan Valavi et al
03-16-2022	Counterfactual Inference of Second Opinions by Nina Corvelo Benz et al
03-18-2022	A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation by Rachel M. Bittner et al
03-17-2022	When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation by Ehsan Kamalloo et al
03-15-2022	Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models by Mark Chu et al
03-15-2022	Trustworthy Deep Learning via Proper Calibration Errors: A Unifying Approach for Quantifying the Reliability of Predictive Uncertainty by Sebastian Gruber et al
03-16-2022	Are Shortest Rationales the Best Explanations for Human Understanding? by Hua Shen et al
03-18-2022	Do Deep Networks Transfer Invariances Across Classes? by Allan Zhou et al
03-15-2022	Machine Learning and Cosmology by Cora Dvorkin et al
03-16-2022	Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface by Diu Khue Luu et al
03-18-2022	SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning by Jongjin Park et al
03-15-2022	Object Manipulation via Visual Target Localization by Kiana Ehsani et al
03-16-2022	Attacking deep networks with surrogate-based adversarial black-box methods is easy by Nicholas A. Lord et al
03-15-2022	AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning by Krishnateja Killamsetty et al
03-17-2022	A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems by Xufeng Cai et al
03-15-2022	CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images by Axel Levy et al
03-17-2022	Gaussian initializations help deep variational quantum circuits escape from the barren plateau by Kaining Zhang et al
03-17-2022	Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation by Runqi Wang et al
03-16-2022	An elementary analysis of ridge regression with random design by Jaouad Mourtada et al
03-17-2022	A Framework and Benchmark for Deep Batch Active Learning for Regression by David Holzmüller et al
03-18-2022	Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds by Burak Bartan et al
03-15-2022	Data-Efficient Graph Grammar Learning for Molecular Generation by Minghao Guo et al
03-17-2022	Symmetry-Based Representations for Artificial and Biological General Intelligence by Irina Higgins et al
03-15-2022	Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity by Kaan Gokcesu et al
03-15-2022	Igeood: An Information Geometry Approach to Out-of-Distribution Detection by Eduardo Dadalto Camara Gomes et al
03-15-2022	Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers by Guodong Zhang et al
03-15-2022	Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs by Paul Wimmer et al
03-17-2022	Are Vision Transformers Robust to Spurious Correlations? by Soumya Suvra Ghosal et al
03-16-2022	MIMO-GAN: Generative MIMO Channel Modeling by Tribhuvanesh Orekondy et al
03-15-2022	A Framework for Verifiable and Auditable Federated Anomaly Detection by Gabriele Santin et al
03-15-2022	S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image by Abdallah Dib et al
03-16-2022	Less is More: Summary of Long Instructions is Better for Program Synthesis by Kirby Kuznia et al
03-16-2022	Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling by Styliani-Christina Fragkouli et al
03-17-2022	Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning by Haoxiang Wang et al
03-15-2022	Object Detection as Probabilistic Set Prediction by Georg Hess et al
03-16-2022	Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training by Adir Rahamim et al
03-17-2022	SoK: Differential Privacy on Graph-Structured Data by Tamara T. Mueller et al
03-15-2022	Neural RF SLAM for unsupervised positioning and mapping with channel state information by Shreya Kadambi et al
03-16-2022	Deepchecks: A Library for Testing and Validating Machine Learning Models and Data by Shir Chorev et al
03-17-2022	Continual Learning Based on OOD Detection and Task Masking by Gyuhak Kim et al
03-15-2022	Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set by Roxana Daneshjou et al
03-15-2022	Evaluating BERT-based Pre-training Language Models for Detecting Misinformation by Rini Anggrainingsih et al
03-15-2022	Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms by Tim Salzmann et al
03-15-2022	Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography by John D. Miller et al
03-16-2022	Provable Adversarial Robustness for Fractional Lp Threat Models by Alexander Levine et al
03-16-2022	DePS: An improved deep learning model for de novo peptide sequencing by Cheng Ge et al
03-16-2022	Multiscale Sensor Fusion and Continuous Control with Neural CDEs by Sumeet Singh et al
03-16-2022	A Continual Learning Framework for Adaptive Defect Classification and Inspection by Wenbo Sun et al
03-17-2022	Image Super-Resolution With Deep Variational Autoencoders by Darius Chira et al
03-17-2022	Euler State Networks by Claudio Gallicchio
03-15-2022	A Noise-level-aware Framework for PET Image Denoising by Ye Li et al
03-15-2022	Intrinsic Neural Fields: Learning Functions on Manifolds by Lukas Koestler et al
03-17-2022	Investigating Compounding Prediction Errors in Learned Dynamics Models by Nathan Lambert et al
03-17-2022	Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs by Andrea Tirinzoni et al
03-15-2022	Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness by Tejas Gokhale et al
03-16-2022	Resilient Neural Forecasting Systems by Michael Bohlke-Schneider et al
03-15-2022	Domain Adaptive Hand Keypoint and Pixel Localization in the Wild by Takehiko Ohkawa et al
03-15-2022	Gold Doesnt Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information by Shun Shao et al
03-16-2022	MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients by Xiaoyu Cao et al
03-16-2022	Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks by Servio Paguada et al
03-16-2022	Adversarial Support Alignment by Shangyuan Tong et al
03-16-2022	What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study by Binxiao Huang et al
03-16-2022	Tangles and Hierarchical Clustering by Eva Fluck
03-16-2022	Learning Where To Look -- Generative NAS is Surprisingly Efficient by Jovita Lukasik et al
03-15-2022	Data Contamination: From Memorization to Exploitation by Inbal Magar et al
03-16-2022	High dimensional change-point detection: a complete graph approach by Yang-Wen Sun et al
03-15-2022	SCD: Self-Contrastive Decorrelation for Sentence Embeddings by Tassilo Klein et al
03-17-2022	Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models by Muralikrishnna G. Sethuraman et al
03-15-2022	Graph Neural Network Sensitivity Under Probabilistic Error Model by Xinjue Wang et al
03-15-2022	Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance by Chen Tang et al
03-15-2022	Towards understanding deep learning with the natural clustering prior by Simon Carbonnelle
03-16-2022	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning by Yangji He et al
03-17-2022	Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics by James B. Wilsenach et al
03-17-2022	Error estimates for physics informed neural networks approximating the Navier-Stokes equations by Tim De Ryck et al
03-15-2022	Comparing two samples through stochastic dominance: a graphical approach by Etor Arza et al
03-17-2022	Localizing Visual Sounds the Easy Way by Shentong Mo et al
03-18-2022	Analyzing EEG Data with Machine and Deep Learning: A Benchmark by Danilo Avola et al
03-17-2022	On the Properties of Adversarially-Trained CNNs by Mattia Carletti et al
03-15-2022	Reachability In Simple Neural Networks by Marco Sälzer et al
03-16-2022	Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations by Ling Guo et al
03-15-2022	Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering by Xiaosha Cai et al
03-17-2022	Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI by Stefano B. Blumberg et al
03-15-2022	Generating Privacy-Preserving Process Data with Deep Generative Models by Keyi Li et al
03-16-2022	Occlusion Fields: An Implicit Representation for Non-Line-of-Sight Surface Reconstruction by Javier Grau et al
03-15-2022	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving by Kaican Li et al
03-17-2022	Transfer learning for cross-modal demand prediction of bike-share and public transit by Mingzhuang Hua et al
03-15-2022	DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting by Wei Fan et al
03-16-2022	Zero Pixel Directional Boundary by Vector Transform by Edoardo Mello Rella et al
03-15-2022	SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence by Arvin Tashakori et al
03-17-2022	On Multi-Domain Long-Tailed Recognition, Generalization and Beyond by Yuzhe Yang et al
03-17-2022	DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection by Jinhyung Park et al
03-15-2022	End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities by Quentin Barthélemy et al
03-15-2022	QUBOs for Sorting Lists and Building Trees by Christian Bauckhage et al
03-16-2022	Learning Audio Representations with MLPs by Mashrur M. Morshed et al
03-15-2022	Gradient Correction beyond Gradient Descent by Zefan Li et al
03-15-2022	Whats in the Black Box? The False Negative Mechanisms Inside Object Detectors by Dimity Miller et al
03-15-2022	Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels by Yikai Wang et al
03-16-2022	Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics by Priyabrata Saha et al
03-15-2022	New directions for surrogate models and differentiable programming for High Energy Physics detector simulation by Andreas Adelmann et al
03-16-2022	Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey by Giorgos Armeniakos et al
03-15-2022	Privacy-Aware Compression for Federated Data Analysis by Kamalika Chaudhuri et al
03-15-2022	A multi-organ point cloud registration algorithm for abdominal CT registration by Samuel Joutard et al
03-15-2022	Practical data monitoring in the internet-services domain by Nikhil Galagali
03-16-2022	Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption by Shiliang Zhang et al
03-15-2022	Safe Neurosymbolic Learning with Differentiable Symbolic Execution by Chenxi Yang et al
03-15-2022	Generative models and Bayesian inversion using Laplace approximation by Manuel Marschall et al
03-16-2022	Relational Self-Supervised Learning by Mingkai Zheng et al
03-17-2022	Do We Really Need a Learnable Classifier at the End of Deep Neural Network? by Yibo Yang et al
03-17-2022	PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer by Lina Achaji et al
03-17-2022	Stability and Risk Bounds of Iterative Hard Thresholding by Xiao-Tong Yuan et al
03-16-2022	Meta-Learning of NAS for Few-shot Learning in Medical Image Applications by Viet-Khoa Vo-Ho et al
03-16-2022	Practical Conditional Neural Processes Via Tractable Dependent Predictions by Stratis Markou et al
03-16-2022	Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents by Jian Zhao et al
03-18-2022	Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? by Cho-Ying Wu et al
03-15-2022	Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling by Alekh Agarwal et al
03-17-2022	PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks by Yue Wang et al
03-17-2022	On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks by Maximilian Seitzer et al

03-17-2022	CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation by Renhao Wang et al
03-17-2022	Dimensionality Reduction and Wasserstein Stability for Kernel Regression by Stephan Eckstein et al
03-16-2022	How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies by Lukas M. Schmidt et al
03-15-2022	Zipfian environments for Reinforcement Learning by Stephanie C. Y. Chan et al
03-15-2022	A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks by Ismail R. Alkhouri et al
03-16-2022	Learning Representation for Bayesian Optimization with Collision-free Regularization by Fengxue Zhang et al
03-17-2022	Stochastic and Private Nonconvex Outlier-Robust PCA by Tyler Maunu et al
03-16-2022	Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation by Dmitry Medvedev et al
03-15-2022	Threat Detection for General Social Engineering Attack Using Machine Learning Techniques by Zuoguang Wang et al
03-15-2022	Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling by Huaiqian You et al
03-17-2022	Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning by Lin Zhang et al
03-17-2022	Nearest Neighbor Classifier with Margin Penalty for Active Learning by Yuan Cao et al
03-17-2022	Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding by Joachim Nyborg et al
03-17-2022	Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations by Anuroop Sriram et al
03-15-2022	LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference by Zhongzhi Yu et al
03-15-2022	Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos by Wasifur Rahman et al
03-18-2022	Lunar Rover Localization Using Craters as Landmarks by Larry Matthies et al
03-17-2022	Contrastive Learning with Positive-Negative Frame Mask for Music Representation by Dong Yao et al
03-15-2022	2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips by Michael James Horry et al
03-18-2022	Graph-Text Multi-Modal Pre-training for Medical Representation Learning by Sungjin Park et al
03-18-2022	Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images by Sam L. Polk et al
03-17-2022	TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding by Ruiteng Zhang et al
03-17-2022	DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection by Nic Jedema et al
03-16-2022	SC2: Supervised Compression for Split Computing by Yoshitomo Matsubara et al
03-17-2022	An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum et al
03-15-2022	Graph filtering over expanding graphs by Bishwadeep Das et al
03-15-2022	POETREE: Interpretable Policy Learning with Adaptive Decision Trees by Alizée Pace et al
03-18-2022	Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel kk-means, and Heat Kernel by Shota Saito
03-17-2022	Optimal Rejection Function Meets Character Recognition Tasks by Xiaotong Ji et al
03-15-2022	Self-Distribution Distillation: Efficient Uncertainty Estimation by Yassir Fathullah et al
03-18-2022	PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning by Rongzhi Zhang et al
03-15-2022	A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration by Nicholas P Baskerville
03-16-2022	Adversarial Learned Fair Representations using Dampening and Stacking by Max Knobbout
03-18-2022	Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block by Changqing Xu et al
03-17-2022	Deterministic Bridge Regression for Compressive Classification by Kar-Ann Toh et al
03-17-2022	A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT by Mostafa Hussien et al
03-16-2022	Discovering the building blocks of dark matter halo density profiles with neural networks by Luisa Lucie-Smith et al
03-16-2022	On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models by Triet H. M. Le et al
03-16-2022	Latent-Variable Advantage-Weighted Policy Optimization for Offline RL by Xi Chen et al
03-16-2022	Undersmoothing Causal Estimators with Generative Trees by Damian Machlanski et al
03-16-2022	ℓpℓp Slack Norm Support Vector Data Description by Shervin R. Arashloo
03-15-2022	Approximability and Generalisation by Andrew J. Turner et al
03-17-2022	Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers by Gersende Fort et al
03-18-2022	Towards Lithuanian grammatical error correction by Lukas Stankevičius et al
03-17-2022	Semi-Markov Offline Reinforcement Learning for Healthcare by Mehdi Fatemi et al
03-15-2022	HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction by Zalan Fabian et al
03-16-2022	Risk-Averse No-Regret Learning in Online Convex Games by Zifan Wang et al
03-17-2022	DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes by Tomasz Kacprzak et al
03-18-2022	Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems by Sarah Fabi et al
03-17-2022	Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations by Zhen Han et al
03-17-2022	On the Importance of Data Size in Probing Fine-tuned Models by Houman Mehrafarin et al
03-16-2022	CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning by Jian Zhao et al
03-17-2022	STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity by Yuhao Kang et al
03-17-2022	MotionAug: Augmentation with Physical Correction for Human Motion Prediction by Takahiro Maeda et al
03-18-2022	AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack by Jinqiao Li et al
03-17-2022	Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation by Kai Zhang et al
03-15-2022	PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning by Udesh Kumarasinghe et al
03-16-2022	Differentiable DAG Sampling by Bertrand Charpentier et al
03-17-2022	DeepAD: A Robust Deep Learning Model of Alzheimers Disease Progression for Real-World Clinical Applications by Somaye Hashemifar et al
03-16-2022	On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers by Markus Kängsepp et al
03-16-2022	Example Perplexity by Nevin L. Zhang et al
03-15-2022	UNet Architectures in Multiplanar Volumetric Segmentation -- Validated on Three Knee MRI Cohorts by Sandeep Singh Sengara et al
03-15-2022	NINNs: Nudging Induced Neural Networks by Harbir Antil et al
03-15-2022	Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning by Satoshi Kataoka et al
03-16-2022	COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks by Fan Wu et al
03-15-2022	On Suspicious Coincidences and Pointwise Mutual Information by Christopher K. I. Williams
03-15-2022	A Deep Dive into Dataset Imbalance and Bias in Face Identification by Valeriia Cherepanova et al
03-15-2022	Regenerative Particle Thompson Sampling by Zeyu Zhou et al
03-17-2022	Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series by Kristoffer Wickstrøm et al
03-15-2022	Data Smells in Public Datasets by Arumoy Shome et al
03-16-2022	The Structured Abstain Problem and the Lov\asz Hinge by Jessie Finocchiaro et al
03-15-2022	Amortised inference of fractional Brownian motion with linear computational complexity by François Laurent et al
03-16-2022	Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables by Rodolfo Metulini et al
03-15-2022	Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction by Ge Gao et al
03-17-2022	Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models by Nathan Vaska et al
03-15-2022	Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture by Dongseok Im et al
03-15-2022	Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization by Hung Tran-The et al
03-18-2022	But thats not why: Inference adjustment by interactive prototype deselection by Michael Gerstenberger et al
03-18-2022	I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise by Ragja Palakkadavath et al
03-18-2022	Image Storage on Synthetic DNA Using Autoencoders by Xavier Pic et al
03-15-2022	Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation by Soyeong Jeong et al
03-15-2022	A Multi-parameter Updating Fourier Online Gradient Descent Algorithm for Large-scale Nonlinear Classification by Yigying Chen
03-15-2022	Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting by Ilias Chalkidis et al
03-17-2022	Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input by Junyoung Byun et al
03-15-2022	Training a Tokenizer for Free with Private Federated Learning by Eugene Bagdasaryan et al
03-15-2022	What is the best RNN-cell structure for forecasting each time series behavior? by Rohaifa Khaldi et al
03-16-2022	Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning by Elliot Way et al
03-15-2022	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps by Elizabeth Coda et al
03-17-2022	Explainability in Graph Neural Networks: An Experimental Survey by Peibo Li et al
03-18-2022	BIOS: An Algorithmically Generated Biomedical Knowledge Graph by Sheng Yu et al
03-15-2022	Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them by Kendra Albert et al
03-15-2022	Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning by Abdullah Bazarov et al
03-17-2022	Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey by Mansoor Ali et al
03-16-2022	Graph Augmentation Learning by Shuo Yu et al
03-15-2022	Lifelong Matrix Completion with Sparsity-Number by Ilqar Ramazanli
03-18-2022	Prototypical Verbalizer for Prompt-based Few-shot Tuning by Ganqu Cui et al
03-18-2022	Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion by Farshad G. Veshki et al
03-16-2022	On the Convergence of Certified Robust Training with Interval Bound Propagation by Yihan Wang et al
03-16-2022	3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation by Tan Nguyen et al
03-18-2022	Application of Top-hat Transformation for Enhanced Blood Vessel Extraction by Tithi Parna Das et al
03-17-2022	Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis by Yijun Li et al
03-18-2022	SS-SAM : Stochastic Scheduled Sharpness-Aware Minimization for Efficiently Training Deep Neural Networks by Yang Zhao et al
03-15-2022	Incorporating Heterophily into Graph Neural Networks for Graph Classification by Wei Ye et al
03-18-2022	Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentation by Kundan Kumar et al
03-15-2022	Learning to Infer Belief Embedded Communication by Guo Ye et al
03-18-2022	Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators by Keenan Jones et al
03-17-2022	On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels by Amnon Geifman et al
03-18-2022	Defending Variational Autoencoders from Adversarial Attacks with MCMC by Anna Kuzina et al
03-15-2022	NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction by Yi Ding et al
03-15-2022	SocialVAE: Human Trajectory Prediction using Timewise Latents by Pei Xu et al
03-16-2022	Reducing Flipping Errors in Deep Neural Networks by Xiang Deng et al
03-15-2022	Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits by Konstantinos Balaskas et al
03-17-2022	Few-Shot Learning on Graphs: A Survey by Chuxu Zhang et al
03-15-2022	Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement by Leander Weber et al
03-15-2022	Categorical Representation Learning and RG flow operators for algorithmic classifiers by Artan Sheshmani et al
03-17-2022	Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data by Philip Heger et al
03-15-2022	Supervised Contrastive Learning with Structure Inference for Graph Classification by Hao Jia et al
03-16-2022	Measuring Fairness of Text Classifiers via Prediction Sensitivity by Satyapriya Krishna et al
03-15-2022	Reactive Motion Generation on Learned Riemannian Manifolds by Hadi Beik-Mohammadi et al
03-18-2022	Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images by Brandon B. G. Khoo et al
03-15-2022	Adaptive Noisy Matrix Completion by Ilqar Ramazanli
03-17-2022	Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing by Dinh C. Nguyen et al
03-17-2022	Self-Ensemble Adversarial Training for Improved Robustness by Hongjun Wang et al
03-17-2022	Generative Principal Component Analysis by Zhaoqiang Liu et al
03-18-2022	Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges by Shikib Mehri et al
03-18-2022	Decision-Making under Miscalibration by Guy N. Rothblum et al
03-17-2022	Delta Distillation for Efficient Video Processing by Amirhossein Habibian et al
03-18-2022	Towards Representative Subset Selection for Self-Supervised Speech Recognition by Abdul Hameed Azeemi et al
03-18-2022	Speaker Embedding-aware Neural Diarization: a Novel Framework for Overlapped Speech Diarization in the Meeting Scenario by Zhihao Du et al

03-16-2022	Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks by Marten Lienen et al
03-15-2022	Learning Expanding Graphs for Signal Interpolation by Bishwadeep Das et al
03-18-2022	Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in Delay-embedded Space by Tatsuya Yokota
03-17-2022	DEFORM: A Practical, Universal Deep Beamforming System by Hai N. Nguyen et al
03-18-2022	FORCE: A Framework of Rule-Based Conversational Recommender System by Jun Quan et al
03-16-2022	Convert, compress, correct: Three steps toward communication-efficient DNN training by Zhong-Jing Chen et al
03-15-2022	A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain by Kairui Bao et al
03-18-2022	WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks by Jean-Christophe Gagnon-Audet et al
03-17-2022	Triangle and Four Cycle Counting with Predictions in Graph Streams by Justin Y. Chen et al
03-17-2022	Graph Representation Learning with Individualization and Refinement by Mohammed Haroon Dupty et al
03-17-2022	Leveraging Adversarial Examples to Quantify Membership Information Leakage by Ganesh Del Grosso et al
03-18-2022	Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering by Naoki Masuyama et al
03-17-2022	Learning Distributionally Robust Models at Scale via Composite Optimization by Farzin Haddadpour et al
03-15-2022	Graph Representation Learning for Popularity Prediction Problem: A Survey by Tiantian Chen et al
03-18-2022	Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition by Marie Biolková et al
03-17-2022	The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection by Suhwan Lee et al
03-18-2022	Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference by Yangge Chen et al
03-16-2022	Adaptive n-ary Activation Functions for Probabilistic Boolean Logic by Jed A. Duersch et al
03-16-2022	On Redundancy and Diversity in Cell-based Neural Architecture Search by Xingchen Wan et al
03-18-2022	Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation by Benjamin Letham et al
03-17-2022	SepTr: Separable Transformer for Audio Spectrogram Processing by Nicolae-Catalin Ristea et al
03-18-2022	Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio by Taisuke Kobayashi
03-18-2022	AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks by Arman Pashamokhtari et al
03-18-2022	Constitutive model characterization and discovery using physics-informed deep learning by Ehsan Haghighat et al
03-16-2022	GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis by Liang Peng et al
03-18-2022	Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty by Hannes Eriksson et al
03-18-2022	On the Generalization Mystery in Deep Learning by Satrajit Chatterjee et al
03-17-2022	Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network by Hai N. Nguyen et al
03-15-2022	ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data by Mohamed Ragab et al
03-15-2022	Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity by E. J. R. Coutinho et al
03-16-2022	Phased Flight Trajectory Prediction with Deep Learning by Kai Zhang et al
03-16-2022	Understanding robustness and generalization of artificial neural networks through Fourier masks by Nikos Karantzas et al
03-15-2022	TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation by Yinsong Wang et al
03-16-2022	Neural network processing of holographic images by John S. Schreck et al
03-17-2022	Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study by Grzegorz Dudek et al
03-15-2022	Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling by Tiantian Feng et al
03-17-2022	Monotonic Differentiable Sorting Networks by Felix Petersen et al
03-17-2022	Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement by Cian Naik et al
03-17-2022	Multi-Modal Causal Inference with Deep Structural Equation Models by Shachi Deshpande et al
03-18-2022	Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation by Jan Mucha et al
03-16-2022	A Survey of Multi-Agent Reinforcement Learning with Communication by Changxi Zhu et al
03-18-2022	Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization by Junyuan Hong et al
03-17-2022	Revealing Reliable Signatures by Learning Top-Rank Pairs by Xiaotong Ji et al
03-17-2022	Low-degree learning and the metric entropy of polynomials by Alexandros Eskenazis et al
03-16-2022	Neural Enhanced Belief Propagation for Data Assocation in Multiobject Tracking by Mingchao Liang et al
03-17-2022	Unified Line and Paragraph Detection by Graph Convolutional Networks by Shuang Liu et al
03-17-2022	On the expressive power of message-passing neural networks as global feature map transformers by Floris Geerts et al
03-17-2022	Learning Stabilizable Deep Dynamics Models by Kenji Kashima et al
03-17-2022	Outcome Assumptions and Duality Theory for Balancing Weights by David Bruns-Smith et al
03-18-2022	Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching by Shengling Shi et al
03-18-2022	Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space by Lea Steffen et al
03-17-2022	Meta Reinforcement Learning for Adaptive Control: An Offline Approach by Daniel G. McClement et al
03-18-2022	Dencentralized learning in the presence of low-rank noise by Roula Nassif et al
03-18-2022	Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration by Matthias Mayr et al
03-16-2022	On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds by Trevor Avant et al
03-18-2022	ISDE : Independence Structure Density Estimation by Louis Pujol
03-17-2022	LeHDC: Learning-Based Hyperdimensional Computing Classifier by Shijin Duan et al
03-17-2022	An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices by Van-Tu Ninh et al
03-17-2022	Analysing the Performance of Stress Detection Models on Consumer-Grade Wearable Devices by Van-Tu Ninh et al
03-18-2022	Gender classification by means of online uppercase handwriting: A text-dependent allographic approach by Enric Sesa-Nogueras et al
03-15-2022	Self-Normalized Density Map (SNDM) for Counting Microbiological Objects by Krzysztof M. Graczyk et al
03-15-2022	Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations by Shahab Razavi et al
03-15-2022	Distributed-Memory Sparse Kernels for Machine Learning by Vivek Bharadwaj et al
03-15-2022	Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing by Yurong Qian et al
03-17-2022	Generating unrepresented proportions of geological facies using Generative Adversarial Networks by Alhasan Abdellatif et al
03-17-2022	Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning by Tom Silver et al