2022.1.31 Learning papers

01-26-2022	FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control by Dimitri von Rütte et al
01-27-2022	Human Interpretation of Saliency-based Explanation Over Text by Hendrik Schuff et al
01-28-2022	Unifying Pairwise Interactions in Complex Dynamics by Oliver M. Cliff et al
01-25-2022	ShapeFormer: Transformer-based Shape Completion via Sparse Representation by Xingguang Yan et al
01-25-2022	Beyond the Frontier: Fairness Without Accuracy Loss by Ira Globus-Harris et al
01-25-2022	SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training by Wenyong Huang et al
01-27-2022	Transfer Portal: Accurately Forecasting the Impact of a Player Transfer in Soccer by Daniel Dinsdale et al
01-25-2022	Explanatory Learning: Beyond Empiricism in Neural Networks by Antonio Norelli et al
01-25-2022	Convolutional Xformers for Vision by Pranav Jeevan et al
01-27-2022	A Systematic Study of Bias Amplification by Melissa Hall et al
01-26-2022	Natural Language Descriptions of Deep Visual Features by Evan Hernandez et al
01-25-2022	Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention by Artem Gorodetskii et al
01-26-2022	Dissecting the impact of different loss functions with gradient surgery by Hong Xuan et al
01-27-2022	Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study by Lidia Garrucho et al
01-25-2022	Explainability in Music Recommender Systems by Darius Afchar et al
01-26-2022	Attention cannot be an Explanation by Arjun R Akula et al
01-25-2022	Neuro-Symbolic Entropy Regularization by Kareem Ahmed et al
01-26-2022	IMACS: Image Model Attribution Comparison Summaries by Eldon Schoop et al
01-27-2022	Domain-Invariant Representation Learning from EEG with Private Encoders by David Bethge et al
01-26-2022	One Student Knows All Experts Know: From Sparse to Dense by Fuzhao Xue et al
01-27-2022	Distributed gradient-based optimization in the presence of dependent aperiodic communication by Adrian Redder et al
01-25-2022	Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition by Dmitriy Serdyuk et al
01-25-2022	Optimal estimation of Gaussian DAG models by Ming Gao et al
01-27-2022	Model Agnostic Interpretability for Multiple Instance Learning by Joseph Early et al
01-26-2022	An Automated Question-Answering Framework Based on Evolution Algorithm by Sinan Tan et al
01-26-2022	Visualizing the diversity of representations learned by Bayesian neural networks by Dennis Grinwald et al
01-27-2022	An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks by Dominik Müller et al
01-25-2022	Distributed Image Transmission using Deep Joint Source-Channel Coding by Sixian Wang et al
01-25-2022	Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models by Federico Fatone et al
01-26-2022	Evaluating language-biased image classification based on semantic representations by Yoann Lemesle et al
01-28-2022	From data to functa: Your data point is a function and you should treat it like one by Emilien Dupont et al
01-26-2022	Controlling Directions Orthogonal to a Classifier by Yilun Xu et al
01-26-2022	CsFEVER and CTKFacts: Czech Datasets for Fact Verification by Jan Drchal et al
01-27-2022	Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ϵ−7/4)O(ϵ−7/4) Complexity by Huan Li et al
01-27-2022	Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels by Metodi P. Yankov et al
01-26-2022	Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives by Pierre-Alexandre Mattei et al
01-25-2022	Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems by Akshay Mete et al
01-25-2022	Invertible Voice Conversion by Zexin Cai et al
01-26-2022	Recency Dropout for Recurrent Recommender Systems by Bo Chang et al
01-26-2022	Crystal structure prediction with machine learning-based element substitution by Minoru Kusaba et al
01-27-2022	Multi-Frame Quality Enhancement On Compressed Video Using Quantised Data of Deep Belief Networks by Dionne Takudzwa Chasi et al
01-26-2022	Inference-optimized AI and high performance computing for gravitational wave detection at scale by Pranshu Chaturvedi et al
01-27-2022	Quantile-Based Policy Optimization for Reinforcement Learning by Jinyang Jiang et al
01-27-2022	Alleviating the Transit Timing Variations bias in transit surveys. II. RIVERS: Twin resonant Earth-sized planets around Kepler-1972 recovered from Keplers false positive by A. Leleu et al
01-26-2022	Generative Trees: Adversarial and Copycat by Richard Nock et al
01-27-2022	Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network by Luzhe Huang et al
01-26-2022	A deep learning method based on patchwise training for reconstructing temperature field by Xingwen Peng et al
01-25-2022	Do Neural Networks for Segmentation Understand Insideness? by Kimberly Villalobos et al
01-26-2022	Towards a Secure and Reliable Federated Learning using Blockchain by Hajar Moudoud et al
01-26-2022	Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network by Pengpeng Shi et al
01-28-2022	Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction by Zijian Liu et al
01-25-2022	Bilevel Online Deep Learning in Non-stationary Environment by Ya-nan Han et al
01-25-2022	A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model by Xin Sun et al
01-28-2022	Sharp Threshold for the Frechet Mean (or Median) of Inhomogeneous Erdos-Renyi Random Graphs by Francois G. Meyer
01-26-2022	Post-training Quantization for Neural Networks with Provable Guarantees by Jinjie Zhang et al
01-27-2022	Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization by Mohamed Tarek et al
01-25-2022	S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement by Chaoyang Zhang et al
01-25-2022	A Kernel Learning Method for Backward SDE Filter by Richard Archibald et al
01-26-2022	To what extent should we trust AI models when they extrapolate? by Roozbeh Yousefzadeh et al
01-27-2022	Fairness implications of encoding protected categorical attributes by Carlos Mougan et al
01-25-2022	Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution by Sangyun Lee et al
01-27-2022	Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification by Jianpeng Liao et al
01-25-2022	A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data by Charlie Kirkwood et al
01-28-2022	Rethinking Attention-Model Explainability through Faithfulness Violation Test by Yibing Liu et al
01-26-2022	Transformer Module Networks for Systematic Generalization in Visual Question Answering by Moyuru Yamada et al
01-26-2022	Variational Model Inversion Attacks by Kuan-Chieh Wang et al
01-25-2022	Class-Aware Generative Adversarial Transformers for Medical Image Segmentation by Chenyu You et al
01-25-2022	Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression by Xiren Zhou et al
01-27-2022	The Implicit Bias of Benign Overfitting by Ohad Shamir
01-26-2022	DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction by Bo Zhou et al
01-27-2022	Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks by Noam Razin et al
01-25-2022	Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features by Guha Balakrishnan et al
01-28-2022	Star Temporal Classification: Sequence Classification with Partially Labeled Data by Vineel Pratap et al
01-27-2022	Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities by Xin Du et al
01-25-2022	Investigating the impact of free energy based behavior on human in human-agent interaction by Kazuya Horibe et al
01-26-2022	Joint Liver and Hepatic Lesion Segmentation using a Hybrid CNN with Transformer Layers by Georg Hille et al
01-27-2022	Early Detection of Network Attacks Using Deep Learning by Tanwir Ahmad et al
01-27-2022	Task-Aware Network Coding Over Butterfly Network by Jiangnan Cheng et al
01-25-2022	Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics by Mohan Sridharan et al
01-27-2022	Generative Adversarial Exploration for Reinforcement Learning by Weijun Hong et al
01-25-2022	Image Generation with Self Pixel-wise Normalization by Yoon-Jae Yeo et al
01-27-2022	Achieving Personalized Federated Learning with Sparse Local Models by Tiansheng Huang et al
01-26-2022	Synchromesh: Reliable code generation from pre-trained language models by Gabriel Poesia et al
01-26-2022	A probabilistic latent variable model for detecting structure in binary data by Christopher Warner et al
01-26-2022	Momentum Capsule Networks by Josef Gugglberger et al
01-26-2022	Stock2Vec: An Embedding to Improve Predictive Models for Companies by Ziruo Yi et al
01-27-2022	Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap by Carlos Mougan et al
01-27-2022	Unsupervised Change Detection using DRE-CUSUM by Sudarshan Adiga et al
01-26-2022	Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features by Alvaro Joaquín Gaona et al
01-27-2022	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift by Hongrui Liu et al
01-26-2022	Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images by Peter Washington et al
01-26-2022	Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning by Hon Tik Tse et al
01-26-2022	Self-Certifying Classification by Linearized Deep Assignment by Bastian Boll et al
01-28-2022	Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods by Raoul Schönhof et al
01-26-2022	Phishing Attacks Detection -- A Machine Learning-Based Approach by Fatima Salahdine et al
01-26-2022	Hyperparameter Optimization for COVID-19 Chest X-Ray Classification by Ibraheem Hamdi et al
01-27-2022	DropNAS: Grouped Operation Dropout for Differentiable Architecture Search by Weijun Hong et al
01-27-2022	Fast Moving Natural Evolution Strategy for High-Dimensional Problems by Masahiro Nomura et al
01-25-2022	Semantic Code Classification for Automated Machine Learning by Polina Guseva et al
01-28-2022	A tomographic workflow to enable deep learning for X-ray based foreign object detection by Mathé T. Zeegers et al
01-25-2022	Sparsity Regularization For Cold-Start Recommendation by Aksheshkumar Ajaykumar Shah et al
01-26-2022	Combining optimal path search with task-dependent learning in a neural network by Tomas Kulvicius et al
01-26-2022	S22NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks by Kazuma Suetake et al
01-28-2022	Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions by Jiachen Sun et al
01-26-2022	Understanding and Compressing Music with Maximal Transformable Patterns by David Meredith
01-26-2022	Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients by Riccardo Zaccone et al
01-26-2022	DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators by Sheng-Chun Kao et al
01-25-2022	Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds by Ethan Grooby et al
01-27-2022	SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders by Tianshuo Cong et al
01-28-2022	A DNN Based Post-Filter to Enhance the Quality of Coded Speech in MDCT Domain by Kishan Gupta et al
01-26-2022	Dual-Tasks Siamese Transformer Framework for Building Damage Assessment by Hongruixuan Chen et al
01-25-2022	Mutual information neural estimation for unsupervised multi-modal registration of brain images by Gerard Snaauw et al
01-26-2022	Objective Prediction of Tomorrows Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020 by Salar Jafarlou et al
01-26-2022	Gap Minimization for Knowledge Sharing and Transfer by Boyu Wang et al
01-26-2022	Meta-learning Spiking Neural Networks with Surrogate Gradient Descent by Kenneth Stewart et al
01-27-2022	HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array by Jack Cai et al
01-26-2022	Online Change Point Detection for Weighted and Directed Random Dot Product Graphs by Bernardo Marenco et al
01-25-2022	Neural Information Squeezer for Causal Emergence by Jiang Zhang
01-26-2022	Fast Server Learning Rate Tuning for Coded Federated Dropout by Giacomo Verardo et al
01-25-2022	Almost Optimal Variance-Constrained Best Arm Identification by Yunlong Hou et al
01-28-2022	Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein by Marco Cuturi et al
01-26-2022	Privacy-Preserving Logistic Regression Training with a Faster Gradient Variant by John Chiang
01-28-2022	Can Wikipedia Help Offline Reinforcement Learning? by Machel Reid et al
01-25-2022	Whats Wrong with Deep Learning in Tree Search for Combinatorial Optimization by Maximilian Böther et al
01-27-2022	Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise by Jianyu Xu et al
01-26-2022	An Efficient and Robust System for Vertically Federated Random Forest by Houpu Yao et al
01-25-2022	A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks by Abdelwahab Boualouache et al
01-27-2022	Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks by Chaithya G R et al
01-26-2022	Graph Neural Networks with Dynamic and Static Representations for Social Recommendation by Junfa Lin et al
01-25-2022	Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging by Maja Schlereth et al
01-26-2022	Multi-view learning with privileged weighted twin support vector machine by Ruxin Xu et al
01-27-2022	Reinforced Cooperative Load Balancing in Data Center by Zhiyuan Yao et al
01-25-2022	Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning by Naoki Masuyama et al
01-25-2022	Convex Analysis of the Mean Field Langevin Dynamics by Atsushi Nitanda et al
01-25-2022	Using Deep Reinforcement Learning for Zero Defect Smart Forging by Yunpeng Ma et al
01-28-2022	Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs) by Avik Pal et al
01-26-2022	On the Power of Gradual Network Alignment Using Dual-Perception Similarities by Jin-Duk Park et al
01-27-2022	Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding by Matthew Setzler et al
01-27-2022	From Motion to Muscle by Marie Dominique Schmidt et al
01-26-2022	Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization by G. Bruno De Luca et al
01-25-2022	AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning by Jiwon Kim et al
01-26-2022	Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization by Grigory Malinovsky et al
01-26-2022	Improving robustness and calibration in ensembles with diversity regularization by Hendrik Alexander Mehrtens et al

01-25-2022	FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames by Lyle Regenwetter et al
01-25-2022	Promises and Challenges of Causality for Ethical Machine Learning by Aida Rahmattalabi et al
01-27-2022	Towards Data-driven LQR with KoopmanizingFlows by Petar Bevanda et al
01-28-2022	Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction by Christoph Angermann et al
01-25-2022	A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition by Md. Ferdous Wahid et al
01-27-2022	Setting AI in context: A case study on defining the context and operational design domain for automated driving by Hans-Martin Heyn et al
01-25-2022	Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images by Muhammad Muneeb Saad et al
01-26-2022	On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections by Mohammadreza Soltani et al
01-26-2022	An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery by Md. Shirajum Munir et al
01-28-2022	Sampling Theorems for Learning from Incomplete Measurements by Julián Tachella et al
01-27-2022	LiteLSTM Architecture for Deep Recurrent Neural Networks by Nelly Elsayed et al
01-26-2022	Towards Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds by Tianyu Wang
01-28-2022	Linear Adversarial Concept Erasure by Shauli Ravfogel et al
01-25-2022	Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization by Canzhe Zhao et al
01-28-2022	DynaMixer: A Vision MLP Architecture with Dynamic Mixing by Ziyu Wang et al
01-28-2022	REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology by Alex Foote et al
01-25-2022	Representation learnt by SGD and Adaptive learning rules -- Conditions that Vary Sparsity and Selectivity in Neural Network by Jinhyun Park
01-27-2022	GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features by Shohei Nakazawa et al
01-26-2022	Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes by Andrew Wagenmaker et al
01-25-2022	Towards Cross-Disaster Building Damage Assessment with Graph Convolutional Networks by Ali Ismail et al
01-25-2022	Zero-Shot Sketch Based Image Retrieval using Graph Transformer by Sumrit Gupta et al
01-25-2022	Design choice and machine learning model performances by Rosa Arboretti et al
01-28-2022	Summarizing Differences between Text Distributions with Natural Language by Ruiqi Zhong et al
01-28-2022	Generative Cooperative Networks for Natural Language Generation by Sylvain Lamprier et al
01-28-2022	Improving End-to-End Models for Set Prediction in Spoken Language Understanding by Hong-Kwang J. Kuo et al
01-27-2022	FairMod: Fair Link Prediction and Recommendation via Graph Modification by Sean Current et al
01-28-2022	A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis by Maria Chiara Fiorentino et al
01-27-2022	A Survey on Visual Transfer Learning using Knowledge Graphs by Sebastian Monka et al
01-28-2022	M\{o}bius Convolutions for Spherical CNNs by Thomas W. Mitchel et al
01-27-2022	Simplicial Convolutional Filters by Maosheng Yang et al
01-25-2022	BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment by Luis Lebron et al
01-26-2022	Competition over data: how does data purchase affect users? by Yongchan Kwon et al
01-28-2022	A Secure and Efficient Federated Learning Framework for NLP by Jieren Deng et al
01-25-2022	Attentive Task Interaction Network for Multi-Task Learning by Dimitrios Sinodinos et al
01-27-2022	Robust Augmentation for Multivariate Time Series Classification by Hong Yang et al
01-25-2022	BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge by Ali Ismail et al
01-28-2022	Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation by Changwei Xu et al
01-28-2022	BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs by Federico Castelletti et al
01-25-2022	An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic by Alexandre Moly et al
01-25-2022	GIU-GANs: Global Information Utilization for Generative Adversarial Networks by Yongqi Tian et al
01-27-2022	The CARE Dataset for Affective Response Detection by Jane A. Yu et al
01-27-2022	Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers by Payam Karisani
01-27-2022	A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles by Li Yang et al
01-25-2022	Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts by Sebastian Bordt et al
01-28-2022	Understanding Why Generalized Reweighting Does Not Improve Over ERM by Runtian Zhai et al
01-25-2022	Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions by Gengchen Mai et al
01-25-2022	Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records by Sicen Liu et al
01-28-2022	Adversarial Concept Erasure in Kernel Space by Shauli Ravfogel et al
01-27-2022	Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features by William Franz Lamberti
01-28-2022	Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks by Lukas Struppek et al
01-27-2022	On the Role of Multi-Objective Optimization to the Transit Network Design Problem by Vasco D. Silva et al
01-26-2022	A dual approach for federated learning by Zhenan Fan et al
01-25-2022	PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control by Patrick Ruediger et al
01-25-2022	Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos by Georgios Piliouras et al
01-28-2022	Interplay between depth of neural networks and locality of target functions by Takashi Mori et al
01-25-2022	Online Active Learning with Dynamic Marginal Gain Thresholding by Mariel A. Werner et al
01-28-2022	Approximate Bayesian Computation with Domain Expert in the Loop by Ayush Bharti et al
01-28-2022	Dual Learning Music Composition and Dance Choreography by Shuang Wu et al
01-28-2022	Leveraging deep learning for fully automated NMR protein structure determination by Piotr Klukowski et al
01-28-2022	Provably Improving Expert Predictions with Conformal Prediction by Eleni Straitouri et al
01-28-2022	Simulating surface height and terminus position for marine outlet glaciers using a level set method with data assimilation by M. Alamgir Hossaina et al
01-28-2022	The Price of Majority Support by Robin Fritsch et al
01-28-2022	DELAUNAY: a dataset of abstract art for psychophysical and machine learning research by Camille Gontier et al
01-28-2022	Learning Summary Statistics for Bayesian Inference with Autoencoders by Carlo Albert et al
01-28-2022	Self-paced learning to improve text row detection in historical documents with missing lables by Mihaela Gaman et al
01-27-2022	FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance by Prateek Kate et al
01-28-2022	You Only Cut Once: Boosting Data Augmentation with a Single Cut by Junlin Han et al
01-26-2022	Hyperparameter Tuning for Deep Reinforcement Learning Applications by Mariam Kiran et al
01-26-2022	Learning Mixtures of Linear Dynamical Systems by Yanxi Chen et al
01-28-2022	Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation by Martin Bertran et al
01-28-2022	Bioinspired Cortex-based Fast Codebook Generation by Meric Yucel et al
01-28-2022	RiskNet: Neural Risk Assessment in Networks of Unreliable Resources by Krzysztof Rusek et al
01-27-2022	Denoising Diffusion Restoration Models by Bahjat Kawar et al
01-27-2022	Constrained Variational Policy Optimization for Safe Reinforcement Learning by Zuxin Liu et al
01-28-2022	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning by Yixuan Wang et al
01-28-2022	Wasserstein Iterative Networks for Barycenter Estimation by Alexander Korotin et al
01-28-2022	O-ViT: Orthogonal Vision Transformer by Yanhong Fei et al
01-26-2022	Heterogeneous Peer Effects in the Linear Threshold Model by Christopher Tran et al
01-26-2022	LAGOON: An Analysis Tool for Open Source Communities by Sourya Dey et al
01-28-2022	On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces by Amrit Singh Bedi et al
01-28-2022	Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization by Frederik Benzing
01-28-2022	Limitation of characterizing implicit regularization by data-independent functions by Leyang Zhang et al
01-28-2022	Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics by Théo Ryffel et al
01-25-2022	Extending compositional data analysis from a graph signal processing perspective by Christopher Rieser et al
01-25-2022	ML4CO-KIDA: Knowledge Inheritance in Data Aggregation by Zixuan Cao et al
01-25-2022	Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection by Hamza Bodor et al
01-28-2022	Cause-Effect Preservation and Classification using Neurochaos Learning by Harikrishnan N B et al
01-28-2022	Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology by Hiroshi Kajino et al
01-26-2022	Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification by Wei-Yao Wang et al
01-28-2022	Learning Stationary Nash Equilibrium Policies in nn-Player Stochastic Games with Independent Chains via Dual Mirror Descent by S. Rasoul Etesami
01-26-2022	On the Convergence of mSGD and AdaGrad for Stochastic Optimization by Ruinan Jin et al
01-25-2022	Leveraging Structural Properties of Source Code Graphs for Just-In-Time Bug Prediction by Md Nadim et al
01-27-2022	Exploring Graph Representation of Chorales by Somnuk Phon-Amnuaisuk
01-25-2022	Analysis of various climate change parameters in India using machine learning by Rutvij Wamanse et al
01-25-2022	Convergence of Invariant Graph Networks by Chen Cai et al
01-25-2022	Tracking and Planning with Spatial World Models by Baris Kayalibay et al
01-28-2022	Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning by Amit Dhurandhar et al
01-28-2022	Transfer Learning In Differential Privacys Hybrid-Model by Refael Kohen et al
01-28-2022	Solving a percolation inverse problem with a divide-and-concur algorithm by Sean Deyo
01-28-2022	Generative GaitNet by Jungnam Park et al
01-28-2022	Dynamic Temporal Reconciliation by Reinforcement learning by Himanshi Charotia et al
01-27-2022	Exploration With a Finite Brain by Marcel Binz et al
01-28-2022	Mask-based Latent Reconstruction for Reinforcement Learning by Tao Yu et al
01-28-2022	Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications by Mingyu Cai et al
01-25-2022	Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks by Yongxu Jin et al
01-28-2022	Measure Estimation in the Barycentric Coding Model by Matthew Werenski et al
01-25-2022	Cold Start Active Learning Strategies in the Context of Imbalanced Classification by Etienne Brangbour et al
01-28-2022	HEAT: Hyperedge Attention Networks by Dobrik Georgiev et al
01-27-2022	Prediction of GPU Failures Under Deep Learning Workloads by Heting Liu et al
01-28-2022	Multiscale Graph Comparison via the Embedded Laplacian Distance by Edric Tam et al
01-25-2022	Unboxing the graph: Neural Relational Inference for Mobility Prediction by Mathias Niemann Tygesen et al
01-28-2022	Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods by Niklas Höpner et al
01-28-2022	Toward Training at ImageNet Scale with Differential Privacy by Alexey Kurakin et al
01-28-2022	Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire by Siddhartha Datta et al
01-27-2022	The fine line between dead neurons and sparsity in binarized spiking neural networks by Jason K. Eshraghian et al
01-25-2022	Improving Proximity Estimation for Contact Tracing using a Multi-channel Approach by Eric Lanfer et al
01-25-2022	On Uniform Boundedness Properties of SGD and its Momentum Variants by Xiaoyu Wang et al
01-25-2022	GMM Discriminant Analysis with Noisy Label for Each Class by Jian-wei Liu et al
01-25-2022	Attention-Based Vandalism Detection in OpenStreetMap by Nicolas Tempelmeier et al
01-27-2022	LAP: An Attention-Based Module for Faithful Interpretation and Knowledge Injection in Convolutional Neural Networks by Rassa Ghavami Modegh et al
01-27-2022	Fast Interpretable Greedy-Tree Sums (FIGS) by Yan Shuo Tan et al
01-25-2022	Conditional entropy minimization principle for learning domain invariant representation features by Thuan Nguyen et al
01-25-2022	Interspecies Collaboration in the Design of Visual Identity: A Case Study by Bojan Jerbić et al
01-25-2022	Probability estimation and structured output prediction for learning preferences in last mile delivery by Rocsildes Canoy et al
01-28-2022	A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data by Florian Mouret et al
01-28-2022	Generative Coarse-Graining of Molecular Conformations by Wujie Wang et al
01-28-2022	Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations by Jin Young Shin et al
01-28-2022	Neural Optimal Transport by Alexander Korotin et al
01-28-2022	Time-Series Anomaly Detection with Implicit Neural Representation by Kyeong-Joong Jeong et al
01-28-2022	Graph autoencoder with constant dimensional latent space by Adam Małkowski et al
01-25-2022	MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning by Parand Akbari et al
01-27-2022	The Effect of Diversity in Meta-Learning by Ramnath Kumar et al
01-25-2022	Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors by Shurui Li et al
01-26-2022	TrustAL: Trustworthy Active Learning using Knowledge Distillation by Beong-woo Kwak et al
01-27-2022	Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits by Jiatai Huang et al
01-27-2022	FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients by Jianyu Wang et al
01-27-2022	Geometric instability of out of distribution data across autoencoder architecture by Susama Agarwala et al
01-28-2022	Compositionality-Aware Graph2Seq Learning by Takeshi D. Itoh et al
01-28-2022	Safe Policy Improvement Approaches on Discrete Markov Decision Processes by Philipp Scholl et al
01-28-2022	Gradient Masked Averaging for Federated Learning by Irene Tenison et al
01-28-2022	The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier by Matthew Middlehurst et al
01-26-2022	Discriminative Supervised Subspace Learning for Cross-modal Retrieval by Haoming Zhang et al
01-25-2022	A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing by Xihaier Luo et al
01-28-2022	FCMNet: Full Communication Memory Net]{FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems by Yutong Wang et al
01-28-2022	Neural Approximation of Extended Persistent Homology on Graphs by Zuoyu Yan et al
01-28-2022	On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization by Max Bolderman et al
01-25-2022	PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs by Zhe Lin et al
01-28-2022	Learning Curves for Decision Making in Supervised Machine Learning -- A Survey by Felix Mohr et al
01-28-2022	Approximately Equivariant Networks for Imperfectly Symmetric Dynamics by Rui Wang et al
01-28-2022	Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints by Yuhao Ding et al
01-27-2022	Eigenvalues of Autoencoders in Training and at Initialization by Benjamin Dees et al
01-27-2022	Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV by Katarzyna Woźnica et al
01-28-2022	Learning Proximal Operators to Discover Multiple Optima by Lingxiao Li et al
01-28-2022	Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks by Naoki Sato et al
01-28-2022	Consistent Collaborative Filtering via Tensor Decomposition by Shiwen Zhao et al
01-28-2022	Adaptive Optimizer for Automated Hyperparameter Optimization Problem by Huayuan Sun
01-28-2022	Automated Feature Extraction on AsMap for Emotion Classification using EEG by Md. Zaved Iqubal Ahmed et al
01-27-2022	Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks by Boning Li et al
01-27-2022	On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning by Hanhan Zhou et al
01-27-2022	Using Shape Metrics to Describe 2D Data Points by William Franz Lamberti
01-27-2022	Rethinking Learning Dynamics in RL using Adversarial Networks by Ramnath Kumar et al
01-27-2022	Local Latent Space Bayesian Optimization over Structured Inputs by Natalie Maus et al
01-25-2022	Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences by An-Dan Nguyen et al
01-28-2022	Improved Overparametrization Bounds for Global Convergence of Stochastic Gradient Descent for Shallow Neural Networks by Bartłomiej Polaczyk et al
01-28-2022	Learning to Simulate Unseen Physical Systems with Graph Neural Networks by Ce Yang et al
01-28-2022	With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization by James Wang et al
01-27-2022	Deep Generative Model for Periodic Graphs by Shiyu Wang et al
01-28-2022	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning by Lianmin Zheng et al
01-28-2022	Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy by Furkan Eris et al
01-28-2022	Training invariances and the low-rank phenomenon: beyond linear networks by Thien Le et al
01-28-2022	Higher Order Correlation Analysis for Multi-View Learning by Jiawang Nie et al
01-27-2022	The Challenges of Exploration for Offline Reinforcement Learning by Nathan Lambert et al