2021.10.25 Learning papers

10-21-2021	Subspace Detours Meet Gromov-Wasserstein by Clément Bonet et al
10-21-2021	A channel attention based MLP-Mixer network for motor imagery decoding with EEG by Yanbin He et al
10-20-2021	Hierarchical Skills for Efficient Exploration by Jonas Gehring et al
10-21-2021	Analysis of memory consumption by neural networks based on hyperparameters by Mahendran N
10-19-2021	Learning Pareto-Efficient Decisions with Confidence by Sofia Ek et al
10-19-2021	User-Centric Federated Learning by Mohamad Mestoukirdi et al
10-19-2021	Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data by Francesca Palermo et al
10-19-2021	FedHe: Heterogeneous Models and Communication-Efficient Federated Learning by Chan Yun Hin et al
10-19-2021	Entity Relation Extraction as Dependency Parsing in Visually Rich Documents by Yue Zhang et al
10-19-2021	Identification of high order closure terms from fully kinetic simulations using machine learning by Brecht Laperre et al
10-19-2021	Computational Graph Completion by Houman Owhadi
10-21-2021	On the Regularization of Autoencoders by Harald Steck et al
10-20-2021	Distributionally Robust Semi-Supervised Learning Over Graphs by Alireza Sadeghi et al
10-20-2021	Identifiable Variational Autoencoders via Sparse Decoding by Gemma E. Moran et al
10-21-2021	An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults by Joonghyun Lee et al
10-19-2021	One-Step Abductive Multi-Target Learning with Diverse Noisy Samples by Yongquan Yang
10-21-2021	On Optimal Interpolation In Linear Regression by Eduard Oravkin et al
10-22-2021	The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks by Yizhang Lou et al
10-21-2021	Sensing Cox Processes via Posterior Sampling and Positive Bases by Mojmír Mutný et al
10-19-2021	Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization by Yuhao Ding et al
10-22-2021	Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff by Adel Javanmard et al
10-20-2021	Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation by Kürsat Petek et al
10-21-2021	OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis by Animesh Basak Chowdhury et al
10-21-2021	Physical Side-Channel Attacks on Embedded Neural Networks: A Survey by Maria Méndez Real et al
10-20-2021	High-resolution rainfall-runoff modeling using graph neural network by Zhongrun Xiang et al
10-20-2021	Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization by Adyasha Maharana et al
10-21-2021	Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes by Yichuan Chen et al
10-19-2021	Trajectory Prediction with Linguistic Representations by Yen-Ling Kuo et al
10-19-2021	Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images by Ge Zhang et al
10-19-2021	NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters by Yoichi Hirose et al
10-22-2021	Auctions Between Regret-Minimizing Agents by Yoav Kolumbus et al
10-19-2021	What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning by István Ketykó et al
10-20-2021	Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? by Amin Banitalebi-Dehkordi et al
10-19-2021	Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process by Tianjiao Li et al
10-19-2021	StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects by Weiyu Liu et al
10-22-2021	Conditional Gaussian PAC-Bayes by Eugenio Clerico et al
10-21-2021	FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion by Sijie Cheng et al
10-22-2021	Sinkformers: Transformers with Doubly Stochastic Attention by Michael E. Sander et al
10-22-2021	Learning Stable Vector Fields on Lie Groups by Julen Urain et al
10-22-2021	Federated Learning over Wireless IoT Networks with Optimized Communication and Resources by Hao Chen et al
10-20-2021	Pick-and-Mix Information Operators for Probabilistic ODE Solvers by Nathanael Bosch et al
10-20-2021	Behavioral Experiments for Understanding Catastrophic Forgetting by Samuel J. Bell et al
10-21-2021	RoMA: a Method for Neural Network Robustness Measurement and Assessment by Natan Levy et al
10-21-2021	CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows by Claudius Krause et al
10-21-2021	GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks by Mehrdad Kiamari et al
10-19-2021	Detecting Backdoor Attacks Against Point Cloud Classifiers by Zhen Xiang et al
10-21-2021	Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments by Joost Verbraeken et al
10-21-2021	A Machine Learning Framework Towards Transparency in Experts Decision Quality by Wanxue Dong et al
10-20-2021	A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays by Leonardo Ravaglia et al
10-21-2021	Self-Supervised Visual Representation Learning Using Lightweight Architectures by Prathamesh Sonawane et al
10-22-2021	Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer by Brian Murphy et al
10-21-2021	An Empirical Evaluation of Time-Series Feature Sets by Trent Henderson et al
10-22-2021	On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning by Anvith Thudi et al
10-19-2021	AequeVox: Automated Fairness Testing of Speech Recognition Systems by Sai Sathiesh Rajan et al
10-19-2021	Optimal randomized classification trees by Rafael Blanquero et al
10-19-2021	On the Global Convergence of Momentum-based Policy Gradient by Yuhao Ding et al
10-21-2021	One-Shot Transfer Learning of Physics-Informed Neural Networks by Shaan Desai et al
10-19-2021	Explaining Deep Tractable Probabilistic Models: The sum-product network case by Athresh Karanam et al
10-19-2021	Long Random Matrices and Tensor Unfolding by Gérard Ben Arous et al
10-19-2021	Learning Equivariances and Partial Equivariances from Data by David W. Romero et al
10-19-2021	Random Feature Approximation for Online Nonlinear Graph Topology Identification by Rohan Money et al
10-21-2021	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP by Andreas Fürst et al
10-21-2021	Center Loss Regularization for Continual Learning by Kaustubh Olpadkar et al
10-21-2021	Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation by Tobias Weber et al
10-22-2021	Variational Wasserstein Barycenters with c-Cyclical Monotonicity by Jinjin Chi et al
10-21-2021	Deep Image Matting with Flexible Guidance Input by Hang Cheng et al
10-21-2021	Actor-critic is implicitly biased towards high entropy optimal policies by Yuzheng Hu et al
10-19-2021	The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding by Pratik Fegade et al
10-20-2021	ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning by Hyuck Lee et al
10-22-2021	Federated Unlearning via Class-Discriminative Pruning by Junxiao Wang et al
10-22-2021	Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time Warping by Ehsan Barkhordar et al
10-21-2021	Statistical discrimination in learning agents by Edgar A. Duéñez-Guzmán et al
10-20-2021	Style Agnostic 3D Reconstruction via Adversarial Style Transfer by Felix Petersen et al
10-21-2021	Self-Initiated Open World Learning for Autonomous AI Agents by Bing Liu et al
10-20-2021	Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning by Ningning Xie et al
10-20-2021	Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation by Qiming Hu et al
10-21-2021	Transformer Acceleration with Dynamic Sparse Attention by Liu Liu et al
10-19-2021	Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! by Vedant Shah et al
10-22-2021	Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops by Florian Mouret et al
10-22-2021	Safe rules for the identification of zeros in the solutions of the SLOPE problem by Clément Elvira et al
10-19-2021	When in Doubt, Summon the Titans: Efficient Inference with Large Models by Ankit Singh Rawat et al
10-19-2021	CGNN: Traffic Classification with Graph Neural Network by Bo Pang et al
10-21-2021	Memory Efficient Adaptive Attention For Multiple Domain Learning by Himanshu Pradeep Aswani et al
10-19-2021	Continuous Control with Action Quantization from Demonstrations by Robert Dadashi et al
10-22-2021	Logical Activation Functions: Logit-space equivalents of Boolean Operators by Scott C. Lowe et al
10-22-2021	Learning Proposals for Practical Energy-Based Regression by Fredrik K. Gustafsson et al
10-19-2021	Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems by Atharv Sonwane et al
10-21-2021	Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain by Yachen Kang et al
10-19-2021	BAMLD: Bayesian Active Meta-Learning by Disagreement by Ivana Nikoloska et al
10-19-2021	Learning Representations that Support Robust Transfer of Predictors by Yilun Xu et al
10-19-2021	fairadapt: Causal Reasoning for Fair Data Pre-processing by Drago Plečko et al
10-21-2021	On games and simulators as a platform for development of artificial intelligence for command and control by Vinicius G. Goecks et al
10-21-2021	Fast Model Editing at Scale by Eric Mitchell et al
10-20-2021	Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders by Kelum Gajamannage et al
10-21-2021	Adverse Media Mining for KYC and ESG Compliance by Rupinder Paul Khandpur et al
10-19-2021	Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond by Chulhee Yun et al
10-19-2021	Test time Adaptation through Perturbation Robustness by Prabhu Teja Sivaprasad et al
10-21-2021	Personalized Transfer of User Preferences for Cross-domain Recommendation by Yongchun Zhu et al
10-21-2021	Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing by Liuqing Zhao et al
10-19-2021	Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching by Shengheng Liu et al
10-20-2021	Few-Shot Temporal Action Localization with Query Adaptive Transformer by Sauradip Nag et al
10-20-2021	Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships by Biswesh Mohapatra et al
10-19-2021	Data-driven and Automatic Surface Texture Analysis Using Persistent Homology by Melih C. Yesilli et al
10-21-2021	Bayesian Meta-Learning Through Variational Gaussian Processes by Vivek Myers et al
10-22-2021	Forecasting Financial Market Structure from Network Features using Machine Learning by Douglas Castilho et al
10-21-2021	ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies by Ş. S. Mağara et al
10-21-2021	Towards Noise-adaptive, Problem-adaptive Stochastic Gradient Descent by Sharan Vaswani et al
10-19-2021	Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials by Robin Francis et al
10-21-2021	Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings by Yonatan Hadar et al
10-19-2021	Identifying Stroke Indicators Using Rough Sets by Muhammad Salman Pathan et al
10-19-2021	Latent reweighting, an almost free improvement for GANs by Thibaut Issenhuth et al
10-21-2021	Neural-guided, Bidirectional Program Search for Abstraction and Reasoning by Simon Alford et al
10-20-2021	Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes by Alejandro de la Concha et al
10-21-2021	A Utility Maximization Model of Pedestrian and Driver Interactions by Yi-Shin Lin et al
10-19-2021	Learning to Learn Graph Topologies by Xingyue Pu et al
10-19-2021	TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks by Atul Sharma et al
10-21-2021	A Fine-Grained Analysis on Distribution Shift by Olivia Wiles et al
10-22-2021	Clustering Market Regimes using the Wasserstein Distance by Blanka Horvath et al
10-22-2021	Multi-view Contrastive Graph Clustering by Erlin Pan et al
10-20-2021	Periodic DMP formulation for Quaternion Trajectories by Fares J. Abu-Dakka et al
10-21-2021	Generalized Out-of-Distribution Detection: A Survey by Jingkang Yang et al
10-20-2021	Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling by Bei Yang et al
10-19-2021	Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE by Devansh Arpit et al
10-21-2021	User-Level Private Learning via Correlated Sampling by Badih Ghazi et al
10-21-2021	DAIR: Data Augmented Invariant Regularization by Tianjian Huang et al
10-21-2021	Anti-Concentrated Confidence Bonuses for Scalable Exploration by Jordan T. Ash et al
10-19-2021	Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes by Chonghua Liao et al
10-22-2021	Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning by Soufiane Hayou et al
10-19-2021	Activation Landscapes as a Topological Summary of Neural Network Performance by Matthew Wheeler et al
10-21-2021	Data splitting improves statistical performance in overparametrized regimes by Nicole Mücke et al
10-20-2021	CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric by Yunxiao Guo et al
10-20-2021	Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems by Jindi Zhang et al
10-22-2021	Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach by Divish Rengasamy et al
10-20-2021	More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences by Toby Johnstone et al
10-21-2021	Guess what? You can boost Federated Learning for free by Akash Dhasade et al
10-21-2021	An EMD-based Method for the Detection of Power Transformer Faults with a Hierarchical Ensemble Classifier by Shoaib Meraj Sami et al
10-21-2021	Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws by Zhiqiang Cai et al
10-19-2021	A Simple Approach to Continual Learning by Transferring Skill Parameters by K. R. Zentner et al

10-19-2021	Inductive Biases and Variable Creation in Self-Attention Mechanisms by Benjamin L. Edelman et al
10-19-2021	Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles by Bram Wallace et al
10-22-2021	Using scientific machine learning for experimental bifurcation analysis of dynamic systems by Sandor Beregi et al
10-19-2021	LMSOC: An Approach for Socially Sensitive Pretraining by Vivek Kulkarni et al
10-20-2021	Adversarial attacks against Bayesian forecasting dynamic models by Roi Naveiro
10-21-2021	Can Q-learning solve Multi Armed Bantids? by Refael Vivanti
10-21-2021	User-friendly introduction to PAC-Bayes bounds by Pierre Alquier
10-20-2021	Deep Learning for HDR Imaging: State-of-the-Art and Future Trends by Lin Wang et al
10-20-2021	Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning by Weizhi Lu et al
10-20-2021	AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation by Xiangyi Yan et al
10-20-2021	An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR by Huaibo Zhao et al
10-20-2021	JavaBERT: Training a transformer-based model for the Java programming language by Nelson Tavares de Sousa et al
10-21-2021	Autonomous Dimension Reduction by Flattening Deformation of Data Manifold under an Intrinsic Deforming Field by Xiaodong Zhuang
10-22-2021	Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation by Yang Zhang et al
10-22-2021	Differentially Private Coordinate Descent for Composite Empirical Risk Minimization by Paul Mangold et al
10-20-2021	Transductive Robust Learning Guarantees by Omar Montasser et al
10-19-2021	A Data-Driven Reconstruction Technique based on Newtons Method for Emission Tomography by Loizos Koutsantonis et al
10-21-2021	Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System by Matthias Schultheis et al
10-21-2021	Likelihood Training of Schr\odinger Bridge using Forward-Backward SDEs Theory by Tianrong Chen et al
10-22-2021	High Fidelity 3D Reconstructions with Limited Physical Views by Mosam Dabhi et al
10-21-2021	Merging Two Cultures: Deep and Statistical Learning by Anindya Bhadra et al
10-21-2021	Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness by Simon Geisler et al
10-19-2021	An Empirical Study: Extensive Deep Temporal Point Process by Haitao Lin et al
10-22-2021	SOFT: Softmax-free Transformer with Linear Complexity by Jiachen Lu et al
10-21-2021	Single-Modal Entropy based Active Learning for Visual Question Answering by Dong-Jin Kim et al
10-21-2021	FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping by Gayan K. Kulatilleke et al
10-21-2021	MLPerfTM HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems by Steven Farrell et al
10-21-2021	Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier by Shoaib Meraj Sami et al
10-19-2021	Contrastive Active Inference by Pietro Mazzaglia et al
10-21-2021	Generative Adversarial Graph Convolutional Networks for Human Action Synthesis by Bruno Degardin et al
10-19-2021	AEFE: Automatic Embedded Feature Engineering for Categorical Features by Zhenyuan Zhong et al
10-22-2021	MIGS: Meta Image Generation from Scene Graphs by Azade Farshad et al
10-22-2021	Projection-Free Algorithm for Stochastic Bi-level Optimization by Zeeshan Akhtar et al
10-22-2021	Graph Filtration Kernels by Till Hendrik Schulz et al
10-20-2021	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization by Devansh Arpit et al
10-19-2021	Frontiers in Evolutionary Computation: A Workshop Report by Tyler Millhouse et al
10-19-2021	SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training by Ankur Bapna et al
10-21-2021	Online Bipartite Matching with Predicted Degrees by Justin Y. Chen et al
10-21-2021	Principal Component Analysis versus Factor Analysis by Zenon Gniazdowski
10-21-2021	Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment by Alyssa Kody et al
10-21-2021	Learning to Recommend Using Non-Uniform Data by Wanning Chen et al
10-21-2021	StyleAlign: Analysis and Applications of Aligned StyleGAN Models by Zongze Wu et al
10-20-2021	ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies by Yu Shen et al
10-20-2021	Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning by Guocheng Qian et al
10-21-2021	Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage by Julien Grand-Clément et al
10-21-2021	Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition by Ting-Yao Hu et al
10-21-2021	Conditioning of Random Feature Matrices: Double Descent and Generalization Error by Zhijun Chen et al
10-21-2021	SLURP: Side Learning Uncertainty for Regression Problems by Xuanlong Yu et al
10-19-2021	Pre and Post Counting for Scalable Statistical-Relational Model Discovery by Richard Mar et al
10-21-2021	Learning OFDM Waveforms with PAPR and ACLR Constraints by Mathieu Goutay et al
10-21-2021	DeLag: Detecting Latency Degradation Patterns in Service-based Systems by Luca Traini et al
10-22-2021	Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method by Luis Ángel Larios-Cárdenas et al
10-21-2021	Supporting Massive DLRM Inference Through Software Defined Memory by Ehsan K. Ardestani et al
10-20-2021	Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality by Ning Ning et al
10-22-2021	GeneDisco: A Benchmark for Experimental Design in Drug Discovery by Arash Mehrjou et al
10-19-2021	On Clustering Categories of Categorical Predictors in Generalized Linear Models by Emilio Carrizosa et al
10-19-2021	Generating Symbolic Reasoning Problems with Transformer GANs by Jens U. Kreber et al
10-19-2021	Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods by Baturalp Yalcin et al
10-21-2021	LOA: Logical Optimal Actions for Text-based Interaction Games by Daiki Kimura et al
10-21-2021	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation by Bingbin Liu et al
10-20-2021	Look at What Im Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos by Reuben Tan et al
10-21-2021	RoQNN: Noise-Aware Training for Robust Quantum Neural Networks by Hanrui Wang et al
10-20-2021	Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach by Mun-Hak Lee et al
10-20-2021	Encoding spatiotemporal priors with VAEs for small-area estimation by Elizaveta Semenova et al
10-19-2021	EBJR: Energy-Based Joint Reasoning for Adaptive Inference by Mohammad Akbari et al
10-19-2021	Multi-concept adversarial attacks by Vibha Belavadi et al
10-21-2021	Towards strong pruning for lottery tickets with non-zero biases by Jonas Fischer et al
10-20-2021	Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning by Thai Le et al
10-20-2021	Color Teams for Machine Learning Development by Josh Kalin et al
10-20-2021	Propensity-scored Probabilistic Label Trees by Marek Wydmuch et al
10-22-2021	Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model by Antoine Bodin et al
10-22-2021	Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes by Elvis Nava et al
10-21-2021	CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization by Wenzheng Hu et al
10-21-2021	Mean Nystr\om Embeddings for Adaptive Compressive Learning by Antoine Chatalic et al
10-20-2021	OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems by Nawras Alnaasan et al
10-19-2021	Boosting Graph Embedding on a Single GPU by Amro Alabsi Aljundi et al
10-21-2021	Super-resolution of multiphase materials by combining complementary 2D and 3D image data using generative adversarial networks by Amir Dahari et al
10-20-2021	Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs by Kaichao You et al
10-21-2021	Neuro-Symbolic Reinforcement Learning with First-Order Logic by Daiki Kimura et al
10-19-2021	Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovskys Theorem by Clayton Sanford et al
10-20-2021	Shaking the foundations: delusions in sequence models for interaction and control by Pedro A. Ortega et al
10-20-2021	SEA: Graph Shell Attention in Graph Neural Networks by Christian M. M. Frey et al
10-19-2021	A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison by Sannara Ek et al
10-19-2021	Stateful Offline Contextual Policy Evaluation and Learning by Nathan Kallus et al
10-20-2021	A Data-Centric Optimization Framework for Machine Learning by Oliver Rausch et al
10-22-2021	AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations by Simon Giebenhain et al
10-20-2021	Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning by Shuo Liu et al
10-22-2021	DistFL: Distribution-aware Federated Learning for Mobile Scenarios by Bingyan Liu et al
10-20-2021	Dynamic Bottleneck for Robust Self-Supervised Exploration by Chenjia Bai et al
10-22-2021	Probabilistic ODE Solutions in Millions of Dimensions by Nicholas Krämer et al
10-22-2021	Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality by Pierre Laforgue et al
10-19-2021	Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement by Sebastian Buschjäger et al
10-19-2021	Measuring Hidden Bias within Face Recognition via Racial Phenotypes by Seyma Yucer et al
10-19-2021	Dynamic pricing and assortment under a contextual MNL demand by Vineet Goyal et al
10-20-2021	Feedback Linearization of Car Dynamics for Racing via Reinforcement Learning by Michael Estrada et al
10-19-2021	Robust Semi-Supervised Classification using GANs with Self-Organizing Maps by Ronald Fick et al
10-21-2021	On some theoretical limitations of Generative Adversarial Networks by Benoît Oriol et al
10-20-2021	Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy by Jianfeng Wu et al
10-21-2021	Survival-oriented embeddings for improving accessibility to complex data structures by Tobias Weber et al
10-19-2021	Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference by Hyunseo Koh et al
10-20-2021	Class Incremental Online Streaming Learning by Soumya Banerjee et al
10-22-2021	Tight and Robust Private Mean Estimation with Few Users by Hossein Esfandiari et al
10-19-2021	FriendlyCore: Practical Differentially Private Aggregation by Eliad Tsfadia et al
10-19-2021	Joint Gaussian Graphical Model Estimation: A Survey by Katherine Tsai et al
10-20-2021	Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings by Theodoros Mamalis et al
10-20-2021	PPFS: Predictive Permutation Feature Selection by Atif Hassan et al
10-19-2021	DEEPAG\E: Answering Questions in Portuguese about the Brazilian Environment by Flávio Nakasato Cação et al
10-20-2021	Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity by Ignacio Segovia-Dominguez et al
10-19-2021	A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification by Linhai Ma et al
10-21-2021	Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning by Bo Lin et al
10-19-2021	TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning by Meirui Jiang et al
10-21-2021	Sequential Decision-Making for Active Object Detection from Hand by Qichen Fu et al
10-19-2021	Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline by Sairoop Bodepudi et al
10-19-2021	SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning by Manuel Nonnenmacher et al
10-22-2021	Predictive machine learning for prescriptive applications: a coupled training-validating approach by Ebrahim Mortaz et al
10-21-2021	Learning Time-Varying Graphs from Online Data by Alberto Natali et al
10-19-2021	Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach by Chenxi Lin et al
10-21-2021	Is High Variance Unavoidable in RL? A Case Study in Continuous Control by Johan Bjorck et al
10-20-2021	Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting by Hyunwook Lee et al
10-22-2021	ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI by Samuel Hess et al
10-20-2021	SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark by Victor Zhong et al
10-20-2021	Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping: From Simulation to Implementation by Chenggang Cui et al
10-20-2021	Semi-supervised physics guided deep learning framework for predicting the I-V characteristics of GAN HEMT by Shivanshu Mishra et al
10-20-2021	Controllable and Compositional Generation with Latent-Space Energy-Based Models by Weili Nie et al
10-19-2021	A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images by Narges Norouzi et al
10-21-2021	Digital and Physical-World Attacks on Remote Pulse Detection by Jeremy Speth et al
10-21-2021	Wide Neural Networks Forget Less Catastrophically by Seyed Iman Mirzadeh et al
10-19-2021	ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals by Michał K. Komorowski et al
10-21-2021	Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations by Erfan Pirmorad et al
10-21-2021	Sliced-Wasserstein Gradient Flows by Clément Bonet et al
10-19-2021	Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction by Shubhanshu Mishra et al
10-21-2021	Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks by Jannis Kurtz et al
10-19-2021	State-based Episodic Memory for Multi-Agent Reinforcement Learning by Xiao Ma et al
10-21-2021	A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System by Ayman Moawad et al
10-20-2021	Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples by Amin Banitalebi-Dehkordi et al
10-19-2021	On Coordinate Decoding for Keypoint Estimation Tasks by Anargyros Chatzitofis et al
10-21-2021	Wav2CLIP: Learning Robust Audio Representations From CLIP by Ho-Hsiang Wu et al
10-20-2021	Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover by Wei Pu et al
10-20-2021	Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences by Alain Rakotomamonjy et al
10-21-2021	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes by Sihan Zeng et al
10-22-2021	MANDERA: Malicious Node Detection in Federated Learning via Ranking by Wanchuang Zhu et al
10-22-2021	A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation by Vien V. Mai et al
10-20-2021	OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data by Christoph Reich et al
10-22-2021	Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications by Qingkai Kong et al
10-19-2021	On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game by Shuang Qiu et al
10-22-2021	Explainable Landscape-Aware Optimization Performance Prediction by Risto Trajanov et al
10-20-2021	Deep Generative Models in Engineering Design: A Review by Lyle Regenwetter et al
10-19-2021	Offline Reinforcement Learning with Value-based Episodic Memory by Xiaoteng Ma et al
10-19-2021	Geo-DefakeHop: High-Performance Geographic Fake Image Detection by Hong-Shuo Chen et al
10-20-2021	Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images by Jun Luo et al
10-19-2021	EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters by Siegfried Ludwig et al
10-19-2021	Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes by Conor Tillinghast et al
10-20-2021	Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis by Hengyang Wang et al
10-19-2021	CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents by Sam Powers et al
10-20-2021	Time-Domain Mapping Based Single-Channel Speech Separation With Hierarchical Constraint Training by Chenyang Gao et al
10-20-2021	AdamD: Improved bias-correction in Adam by John St John
10-19-2021	Multi-Objective Loss Balancing for Physics-Informed Deep Learning by Rafael Bischof et al
10-19-2021	Robust Event Classification Using Imperfect Real-world PMU Data by Yunchuan Liu et al
10-20-2021	Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees by Giulia Pedrielli et al
10-21-2021	Cortico-cerebellar networks as decoupling neural interfaces by Joseph Pemberton et al
10-21-2021	How can classical multidimensional scaling go wrong? by Rishi Sonthalia et al
10-20-2021	Sampling from Arbitrary Functions via PSD Models by Ulysse Marteau-Ferey et al
10-19-2021	Layer-wise Adaptive Model Aggregation for Scalable Federated Learning by Sunwoo Lee et al
10-21-2021	SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning by Weijing Chen et al
10-21-2021	Quantum field theories, Markov random fields and machine learning by Dimitrios Bachtis et al
10-20-2021	The R package sentometrics to compute, aggregate and predict with textual sentiment by David Ardia et al
10-20-2021	Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks by Manuela Girotti et al
10-20-2021	REAL-M: Towards Speech Separation on Real Mixtures by Cem Subakan et al
10-20-2021	CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images by Xin Zhang et al
10-20-2021	HALP: Hardware-Aware Latency Pruning by Maying Shen et al
10-20-2021	Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation by Ross M. Clarke et al
10-21-2021	Generating Multivariate Load States Using a Conditional Variational Autoencoder by Chenguang Wang et al
10-19-2021	PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory by Minh-Son Le et al
10-19-2021	Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning by Bang Xiang Yong et al
10-19-2021	Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization by Panjie Qi et al
10-20-2021	Learning quantum dynamics with latent neural ODEs by Matthew Choi et al
10-19-2021	Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant by Wei Xiao et al
10-19-2021	Continual self-training with bootstrapped remixing for speech enhancement by Efthymios Tzinis et al
10-21-2021	Variational Predictive Routing with Nested Subjective Timescales by Alexey Zakharov et al
10-19-2021	Neural Stochastic Partial Differential Equations by Cristopher Salvi et al
10-19-2021	Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution by Tenghui Li et al
10-19-2021	Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space by Maximilian Ulmer et al
10-20-2021	ESOD:Edge-based Task Scheduling for Object Detection by Yihao Wang et al
10-20-2021	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics by Junhao Wen et al
10-20-2021	Data-Driven Offline Optimization For Architecting Hardware Accelerators by Aviral Kumar et al
10-20-2021	Independent Natural Policy Gradient Always Converges in Markov Potential Games by Roy Fox et al
10-21-2021	On Hard Episodes in Meta-Learning by Samyadeep Basu et al
10-21-2021	Watermarking Graph Neural Networks based on Backdoor Attacks by Jing Xu et al
10-19-2021	Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm by Raghuram Bharadwaj Diddigi et al
10-21-2021	Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction by Jay Santokhi et al
10-22-2021	DQC: a Python program package for Differentiable Quantum Chemistry by Muhammad F. Kasim et al
10-19-2021	More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects by Nadia Nahar et al
10-21-2021	Anti-Backdoor Learning: Training Clean Models on Poisoned Data by Yige Li et al
10-22-2021	PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy by Xiaolan Gu et al