2021.11.15 Learning papers

11-11-2021	Online-compatible Unsupervised Non-resonant Anomaly Detection by Vinicius Mikuni et al
11-12-2021	Multimodal Virtual Point 3D Detection by Tianwei Yin et al
11-11-2021	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey by Jiangchao Yao et al
11-11-2021	Full-Body Visual Self-Modeling of Robot Morphologies by Boyuan Chen et al
11-10-2021	Parallel Physics-Informed Neural Networks with Bidirectional Balance by Yuhao Huang
11-10-2021	Agent Spaces by John C. Raisbeck et al
11-11-2021	Improving Novelty Detection using the Reconstructions of Nearest Neighbours by Michael Mesarcik et al
11-09-2021	Logarithmic Regret from Sublinear Hints by Aditya Bhaskara et al
11-09-2021	Clustering of longitudinal data: A tutorial on a variety of approaches by Niek Den Teuling et al
11-09-2021	Inclusive Speaker Verification with Adaptive thresholding by Navdeep Jain et al
11-09-2021	DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology by Zhikun Chen et al
11-09-2021	Identifying the Risks of Chronic Diseases Using BMI Trajectories by Md Mozaharul Mottalib et al
11-09-2021	Importance of Kernel Bandwidth in Quantum Machine Learning by Ruslan Shaydulin et al
11-09-2021	Classifying DNS Servers based on Response Message Matrix using Machine Learning by Keiichi Shima et al
11-10-2021	Efficient Projection-Free Online Convex Optimization with Membership Oracle by Zakaria Mhammedi
11-09-2021	DP-REC: Private & Communication-Efficient Federated Learning by Aleksei Triastcyn et al
11-11-2021	Kalman Filtering with Adversarial Corruptions by Sitan Chen et al
11-12-2021	A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal by Ovishake Sen et al
11-10-2021	A framework for comprehensible multi-modal detection of cyber threats by Jan Kohout et al
11-12-2021	Fully Automatic Page Turning on Real Scores by Florian Henkel et al
11-11-2021	Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal by Yadong Li et al
11-09-2021	Robust deep learning-based semantic organ segmentation in hyperspectral images by Silvia Seidlitz et al
11-12-2021	Can neural networks predict dynamics they have never seen? by Anton Pershin et al
11-10-2021	Multi-Task Neural Processes by Jiayi Shen et al
11-09-2021	Linear Convergence of Stochastic Primal Dual Methods for Linear Programming Using Variance Reduction and Restarts by Haihao Lu et al
11-10-2021	Graph Neural Network Training with Data Tiering by Seung Won Min et al
11-09-2021	Unsupervised Spiking Instance Segmentation on Event Data using STDP by Paul Kirkland et al
11-12-2021	Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models by Igor Kulev et al
11-09-2021	A Statistical Difference Reduction Method for Escaping Backdoor Detection by Pengfei Xia et al
11-09-2021	Reason first, then respond: Modular Generation for Knowledge-infused Dialogue by Leonard Adolphs et al
11-11-2021	Solving Multi-Arm Bandit Using a Few Bits of Communication by Osama A. Hanna et al
11-11-2021	Implicit SVD for Graph Representation Learning by Sami Abu-El-Haija et al
11-10-2021	ICDAR 2021 Competition on Document VisualQuestion Answering by Rubèn Tito et al
11-10-2021	AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator by Chuteng Zhou et al
11-12-2021	Mobility prediction Based on Machine Learning Algorithms by Donglin Wang et al
11-09-2021	Learning Perceptual Concepts by Bootstrapping from Human Queries by Andreea Bobu et al
11-10-2021	Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control by William Arnold et al
11-09-2021	Lightweight machine unlearning in neural network by Kongyang Chen et al
11-11-2021	Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series by Wenyi Wang et al
11-09-2021	Convolutional Neural Network Dynamics: A Graph Perspective by Fatemeh Vahedian et al
11-12-2021	Simplifying approach to Node Classification in Graph Neural Networks by Sunil Kumar Maurya et al
11-11-2021	Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models by Jie Ren et al
11-11-2021	Unsupervised Part Discovery from Contrastive Reconstruction by Subhabrata Choudhury et al
11-09-2021	Turing-Universal Learners with Optimal Scaling Laws by Preetum Nakkiran
11-10-2021	Searching in the Forest for Local Bayesian Optimization by Difan Deng et al
11-09-2021	Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information by Padmaksha Roy et al
11-10-2021	SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation by Atefeh Sohrabizadeh et al
11-09-2021	Can Information Flows Suggest Targets for Interventions in Neural Circuits? by Praveen Venkatesh et al
11-11-2021	SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets by Ann Yuan et al
11-11-2021	Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms by Prateek Sharma et al
11-10-2021	Climate Modeling with Neural Diffusion Equations by Jeehyun Hwang et al
11-11-2021	Dense Unsupervised Learning for Video Segmentation by Nikita Araslanov et al
11-11-2021	Raman spectroscopy in open world learning settings using the Objectosphere approach by Yaroslav Balytskyi et al
11-10-2021	Deducing of Optimal Machine Learning Algorithms for Heterogeneity by Omar Alfarisi et al
11-10-2021	Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking by Denis Jered McInerney et al
11-11-2021	Identification of Fine-Grained Location Mentions in Crisis Tweets by Sarthak Khanal et al
11-09-2021	Does Thermal data make the detection systems more reliable? by Shruthi Gowda et al
11-09-2021	Harmless interpolation in regression and classification with structured features by Andrew D. McRae et al
11-10-2021	On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning by Andrew Cohen et al
11-09-2021	Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search by Pengfei Xia et al
11-10-2021	Multimodal Approach for Metadata Extraction from German Scientific Publications by Azeddine Bouabdallah et al
11-11-2021	Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic by Wei Zhou et al
11-09-2021	On Training Implicit Models by Zhengyang Geng et al
11-09-2021	CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders by Aaron Valero Puche et al
11-10-2021	Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks by Alex Vicente-Sola et al
11-11-2021	Variational Auto-Encoder Architectures that Excel at Causal Inference by Negar Hassanpour et al
11-09-2021	Early Myocardial Infarction Detection over Multi-view Echocardiography by Aysen Degerli et al
11-12-2021	A Reverse Jensen Inequality Result with Application to Mutual Information Estimation by Gerhard Wunder et al
11-11-2021	Model-Based Reinforcement Learning for Stochastic Hybrid Systems by Hany Abdulsamad et al
11-11-2021	A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection by Akira Furui et al
11-11-2021	Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication by Łukasz Kuciński et al
11-09-2021	DataWords: Getting Contrarian with Text, Structured Data and Explanations by Stephen I. Gallant et al
11-12-2021	A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps by Hugo Frezat et al
11-11-2021	Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches by Raphael Korbmacher et al
11-10-2021	Counterfactual Explanations for Models of Code by Jürgen Cito et al
11-11-2021	Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset by Aly Moustafa et al
11-09-2021	Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers by Benjamin Shickel et al
11-12-2021	Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash by Lukas Struppek et al
11-09-2021	Training Generative Adversarial Networks with Adaptive Composite Gradient by Huiqing Qi et al
11-11-2021	AlphaDDA: game artificial intelligence with dynamic difficulty adjustment using AlphaZero by Kazuhisa Fujita
11-12-2021	Understanding the Information Needs and Practices of Human Supporters of an Online Mental Health Intervention to Inform Machine Learning Applications by Anja Thieme
11-11-2021	On the Equivalence between Neural Network and Support Vector Machine by Yilan Chen et al
11-12-2021	DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents by Kunal Dahiya et al
11-12-2021	BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML by Yuhong Song et al
11-09-2021	DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution by Keshav Santhanam et al
11-09-2021	Machine-learning custom-made basis functions for partial differential equations by Brek Meuris et al
11-11-2021	Nonlinear Tensor Ring Network by Xiao Peng Li et al
11-11-2021	Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization by Byeonggeun Kim et al
11-11-2021	Distributed Sparse Regression via Penalization by Yao Ji et al
11-09-2021	Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder by Yi Huang et al
11-11-2021	Silicon photonic subspace neural chip for hardware-efficient deep learning by Chenghao Feng et al
11-10-2021	SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval by Minyoung Kim
11-11-2021	Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks by Sibo Cheng et al
11-11-2021	A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints by Wangyang Xu et al
11-12-2021	AnchorGAE: General Data Clustering via O(n)O(n) Bipartite Graph Convolution by Hongyuan Zhang et al
11-10-2021	Exponential separations between learning with and without quantum memory by Sitan Chen et al
11-12-2021	Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data by Liming Jiang et al
11-10-2021	Constrained Stochastic Submodular Maximization with State-Dependent Costs by Shaojie Tang
11-10-2021	Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training by Can Karakus et al
11-09-2021	Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning by Stefan Radic Webster et al
11-10-2021	Trustworthy Medical Segmentation with Uncertainty Estimation by Giuseppina Carannante et al
11-09-2021	Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection by Rahul Singh
11-10-2021	Topic-aware latent models for representation learning on networks by Abdulkadir Çelikkanat et al
11-10-2021	Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks by Nghia Nguyen et al
11-10-2021	Important Sentence Identification in Legal Cases Using Multi-Class Classification by Sahan Jayasinghe et al
11-11-2021	Poisoning Knowledge Graph Embeddings via Relation Inference Patterns by Peru Bhardwaj et al
11-12-2021	Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment by Matthew J. Filipovich et al
11-11-2021	Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity by Rajiv Sambasivan et al
11-09-2021	A Topological Data Analysis Based Classifier by Rolando Kindelan et al
11-11-2021	BOiLS: Bayesian Optimisation for Logic Synthesis by Antoine Grosnit et al
11-10-2021	Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word by Chao Zhang et al
11-11-2021	Super-resolving Dark Matter Halos using Generative Deep Learning by David Schaurecker et al
11-09-2021	Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model by Jaydip Sen et al
11-12-2021	Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values by Viola Wenz et al
11-09-2021	Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning by Wangyang Xu et al
11-11-2021	The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos by Runtao Liu et al
11-12-2021	Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity by Ali Devran Kara et al
11-11-2021	Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM by Zihao Deng et al
11-11-2021	The Science of Rejection: A Research Area for Human Computation by Burcu Sayin et al
11-10-2021	BagBERT: BERT-based bagging-stacking for multi-topic classification by Loïc Rakotoson et al
11-12-2021	Speeding Up Entmax by Maxat Tezekbayev et al
11-10-2021	DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning by Zhaoxing Yang et al
11-10-2021	PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems by David Biagioni et al
11-10-2021	Linear Speedup in Personalized Collaborative Learning by El Mahdi Chayti et al
11-10-2021	A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels by Javier Andreu-Perez et al
11-10-2021	Persia: A Hybrid System Scaling Deep Learning Based Recommenders up to 100 Trillion Parameters by Xiangru Lian et al
11-10-2021	Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics by Amirata Ghorbani et al
11-11-2021	Automated question generation and question answering from Turkish texts using text-to-text transformers by Fatih Cagatay Akyon et al
11-11-2021	Fair AutoML by Qingyun Wu et al

11-11-2021	Improvements to short-term weather prediction with recurrent-convolutional networks by Jussi Leinonen
11-11-2021	Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport by Hsin-Yi Lin et al
11-09-2021	Graph Matching via Optimal Transport by Ali Saad-Eldin et al
11-11-2021	Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs by Raul Astudillo et al
11-09-2021	Mode connectivity in the loss landscape of parameterized quantum circuits by Kathleen E. Hamilton et al
11-12-2021	NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset by Ashkan Ebadi et al
11-12-2021	Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent -- an Open Problem by Rémi Le Priol et al
11-10-2021	Feature Generation for Long-tail Classification by Rahul Vigneswaran et al
11-10-2021	Self-Compression in Bayesian Neural Networks by Giuseppina Carannante et al
11-10-2021	Robust Learning via Ensemble Density Propagation in Deep Neural Networks by Giuseppina Carannante et al
11-12-2021	Causal Multi-Agent Reinforcement Learning: Review and Open Problems by St John Grimbly et al
11-11-2021	DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks by Pál András Papp et al
11-09-2021	On Representation Knowledge Distillation for Graph Neural Networks by Chaitanya K. Joshi et al
11-09-2021	A research framework for writing differentiable PDE discretizations in JAX by Antonio Stanziola et al
11-09-2021	Constrained Instance and Class Reweighting for Robust Learning under Label Noise by Abhishek Kumar et al
11-09-2021	Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else? by Alexander Michael Daniel
11-11-2021	Learning Signal-Agnostic Manifolds of Neural Fields by Yilun Du et al
11-10-2021	CubeTR: Learning to Solve The Rubiks Cube Using Transformers by Mustafa Ebrahim Chasmai
11-10-2021	Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series by Shubhranshu Shekhar et al
11-09-2021	Understanding the Generalization Benefit of Model Invariance from a Data Perspective by Sicheng Zhu et al
11-12-2021	AWD3: Dynamic Reduction of the Estimation Bias by Dogan C. Cicek et al
11-12-2021	A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes by Chengchun Shi et al
11-11-2021	Reducing Data Complexity using Autoencoders with Class-informed Loss Functions by David Charte et al
11-12-2021	Hierarchical Clustering: New Bounds and Objective by Mirmahdi Rahgoshay et al
11-11-2021	Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation by I-Chun Arthur Liu et al
11-10-2021	Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation by Joonhyung Park et al
11-09-2021	SGD Through the Lens of Kolmogorov Complexity by Gregory Schwartzman
11-11-2021	An Enhanced Adaptive Bi-clustering Algorithm through Building a Shielding Complex Sub-Matrix by Kaijie Xu
11-09-2021	MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID by Chaitra Jambigi et al
11-09-2021	MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps by Muhammad Awais et al
11-11-2021	Discovering and Explaining the Representation Bottleneck of DNNs by Huiqi Deng et al
11-09-2021	Double Control Variates for Gradient Estimation in Discrete Latent Variable Models by Michalis K. Titsias et al
11-09-2021	Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach by Magdalena Mittermeier et al
11-12-2021	STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks by Guannan Lou et al
11-10-2021	LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs by Eitan Kosman et al
11-10-2021	Causal KL: Evaluating Causal Discovery by Rodney T. O'Donnell et al
11-11-2021	Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes by Oliver Carr et al
11-11-2021	A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network by Vahid Reza Gharehbaghi et al
11-09-2021	Using sequential drift detection to test the API economy by Samuel Ackerman et al
11-12-2021	Explainability and the Fourth AI Revolution by Loizos Michael
11-12-2021	Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data by David Grethlein et al
11-12-2021	Resilient Consensus-based Multi-agent Reinforcement Learning by Martin Figura et al
11-09-2021	MLHarness: A Scalable Benchmarking System for MLCommons by Yen-Hsiang Chang et al
11-11-2021	Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs by Hesham Mostafa
11-10-2021	Tight bounds for minimum l1-norm interpolation of noisy data by Guillaume Wang et al
11-12-2021	Differential privacy and robust statistics in high dimensions by Xiyang Liu et al
11-10-2021	How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning by Zhi Chen et al
11-10-2021	Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games by Ioannis Anagnostides et al
11-09-2021	Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions by Vibhor Porwal et al
11-10-2021	Physics-enhanced deep surrogates for PDEs by Raphaël Pestourie et al
11-09-2021	Membership Inference Attacks Against Self-supervised Speech Models by Wei-Cheng Tseng et al
11-10-2021	Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes by Panagiotis Petsagkourakis et al
11-09-2021	Dealing with the Unknown: Pessimistic Offline Reinforcement Learning by Jinning Li et al
11-10-2021	A study on Channel Popularity in Twitch by Ha Le et al
11-10-2021	A soft thumb-sized vision-based sensor with accurate all-round force perception by Huanbo Sun et al
11-10-2021	A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection by Damian Kisiel et al
11-10-2021	Learning to ignore: rethinking attention in CNNs by Firas Laakom et al
11-10-2021	Efficient Neural Network Training via Forward and Backward Propagation Sparsification by Xiao Zhou et al
11-10-2021	Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima by Jin-Hui Wu et al
11-11-2021	Approximating Optimal Transport via Low-rank and Sparse Factorization by Weijie Liu et al
11-12-2021	deepstruct -- linking deep learning and graph theory by Julian Stier et al
11-11-2021	Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum by Junhyung Lyle Kim et al
11-12-2021	Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation by Sriram Siva et al
11-11-2021	FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing by Peichun Li et al
11-10-2021	Biomarker Gene Identification for Breast Cancer Classification by Sheetal Rajpal et al
11-09-2021	MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity by Manuela Nayantara Jeyaraj et al
11-09-2021	Learning Rates for Nonconvex Pairwise Learning by Shaojie Li et al
11-12-2021	Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting by Youngsuk Park et al
11-11-2021	Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities by Waddah Saeed et al
11-09-2021	Variational Multi-Task Learning with Gumbel-Softmax Priors by Jiayi Shen et al
11-09-2021	Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity by Pritam Sarkar et al
11-09-2021	Data Augmentation Can Improve Robustness by Sylvestre-Alvise Rebuffi et al
11-10-2021	Palette: Image-to-Image Diffusion Models by Chitwan Saharia et al
11-11-2021	Bi-Discriminator Class-Conditional Tabular GAN by Mohammad Esmaeilpour et al
11-11-2021	Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization by Zaiwei Chen et al
11-09-2021	Generalization in quantum machine learning from few training data by Matthias C. Caro et al
11-10-2021	Towards Green Automated Machine Learning: Status Quo and Future Directions by Tanja Tornede et al
11-11-2021	A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations by Denis Kleyko et al
11-12-2021	ADCB: An Alzheimers disease benchmark for evaluating observational estimators of causal effects by Newton Mwai Kinyanjui et al
11-09-2021	Unified Group Fairness on Federated Learning by Fengda Zhang et al
11-09-2021	Wasserstein Adversarially Regularized Graph Autoencoder by Huidong Liang et al
11-10-2021	Detecting Fake Points of Interest from Location Data by Syed Raza Bashir et al
11-11-2021	Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling by Dongwei Ye et al
11-11-2021	Training neural networks with synthetic electrocardiograms by Matti Kaisti et al
11-12-2021	Monte Carlo dropout increases model repeatability by Andreanne Lemay et al
11-10-2021	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction by Amur Ghose et al
11-11-2021	Learning from Mistakes -- A Framework for Neural Architecture Search by Bhanu Garg et al
11-09-2021	Prediction of new outlinks for focused Web crawling by Thi Kim Nhung Dang et al
11-12-2021	Using Deep Learning Sequence Models to Identify SARS-CoV-2 Divergence by Yanyi Ding et al
11-12-2021	Implicit vs Unfolded Graph Neural Networks by Yongyi Yang et al
11-11-2021	MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification by Ladislav Mošner et al
11-10-2021	SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision by Irina Higgins et al
11-12-2021	Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care by Steffen Gracla et al
11-10-2021	HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides by Qinze Yu et al
11-10-2021	Prune Once for All: Sparse Pre-Trained Language Models by Ofir Zafrir et al
11-09-2021	Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security by Allen Starke et al
11-10-2021	Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning by Delaram Jarchi et al
11-09-2021	Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms by Jibang Wu et al
11-09-2021	Misspecified Gaussian Process Bandit Optimization by Ilija Bogunovic et al
11-11-2021	Understanding mobility in networks: A node embedding approach by Matheus F. C. Barros et al
11-12-2021	One model Packs Thousands of Items with Recurrent Conditional Query Learning by Dongda Li et al
11-12-2021	Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication by Ofir Abu et al
11-09-2021	Sliced Recursive Transformer by Zhiqiang Shen et al
11-09-2021	The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning by Raed Kontar et al
11-12-2021	PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages by Mohsin Ali et al
11-10-2021	Social Fraud Detection Review: Methods, Challenges and Analysis by Saeedreza Shehnepoor et al
11-09-2021	Towards a Unified Information-Theoretic Framework for Generalization by Mahdi Haghifam et al
11-09-2021	Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving by Jaehyun Kim et al
11-10-2021	Automatically detecting data drift in machine learning classifiers by Samuel Ackerman et al
11-09-2021	Attention Approximates Sparse Distributed Memory by Trenton Bricken et al
11-09-2021	ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees by Kuan-Lin Chen et al
11-09-2021	RAVE: A variational autoencoder for fast and high-quality neural audio synthesis by Antoine Caillon et al
11-10-2021	A Hierarchy for Replica Quantum Advantage by Sitan Chen et al
11-11-2021	Fine-Grained Image Analysis with Deep Learning: A Survey by Xiu-Shen Wei et al
11-10-2021	STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions by Hui Yu et al
11-11-2021	Quantum Model-Discovery by Niklas Heim et al
11-09-2021	Which priors matter? Benchmarking models for learning latent dynamics by Aleksandar Botev et al
11-12-2021	Neural Motion Planning for Autonomous Parking by Dongchan Kim et al
11-11-2021	Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans by Andrew Lauziere et al
11-09-2021	Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction by Michael Danner et al
11-10-2021	Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks by Mahmoud S. Fayed
11-10-2021	Gradients are Not All You Need by Luke Metz et al
11-09-2021	Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks by Wang Zhu et al
11-12-2021	On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference by Moontae Lee et al
11-09-2021	Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation by Minyoung Kim et al
11-09-2021	Object-Centric Representation Learning with Generative Spatial-Temporal Factorization by Li Nanbo et al
11-10-2021	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels by Benoit Dufumier et al
11-12-2021	Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705 by A. Leleu et al