2021.7.19 Learning papers

07-14-2021	Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs by Shruthi Bannur et al
07-15-2021	FastSHAP: Real-Time Shapley Value Estimation by Neil Jethani et al
07-13-2021	Fast-Slow Streamflow Model Using Mass-Conserving LSTM by Miguel Paredes Quiñones et al
07-13-2021	Force-in-domain GAN inversion by Guangjie Leng et al
07-13-2021	Learning a Discriminant Latent Space with Neural Discriminant Analysis by Mai Lan Ha et al
07-13-2021	Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges by Bernd Bischl et al
07-13-2021	Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning by Alexander Scheinker
07-15-2021	CutDepth:Edge-aware Data Augmentation in Depth Estimation by Yasunori Ishii et al
07-13-2021	Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial by Yang Liu et al
07-13-2021	Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks by Junhyung Kim et al
07-13-2021	Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation by Camila Gonzalez et al
07-16-2021	Contrastive Predictive Coding for Anomaly Detection by Puck de Haan et al
07-14-2021	Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization by Zeeshan Akhtar et al
07-14-2021	Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing by Tazin Afrin et al
07-13-2021	Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks by Sungryull Sohn et al
07-13-2021	No Regrets for Learning the Prior in Bandits by Soumya Basu et al
07-13-2021	Thinkback: Task-SpecificOut-of-Distribution Detection by Lixuan Yang et al
07-13-2021	A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization by Zhenning Li et al
07-16-2021	When does loss-based prioritization fail? by Niel Teng Hu et al
07-15-2021	Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning by Toshinori Kitamura et al
07-14-2021	Proceedings of the Sixteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice by Elaine Pimentel et al
07-16-2021	Active learning for online training in imbalanced data streams under cold start by Ricardo Barata et al
07-16-2021	Recognizing bird species in diverse soundscapes under weak supervision by Christof Henkel et al
07-16-2021	Semi-supervised Learning for Marked Temporal Point Processes by Shivshankar Reddy et al
07-13-2021	Deep Autoregressive Models with Spectral Attention by Fernando Moreno-Pino et al
07-14-2021	DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder by Dae-Hyeok Lee et al
07-15-2021	A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis by Joseph Palermo et al
07-13-2021	AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense by Duhun Hwang et al
07-15-2021	Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills by Ori Yoran et al
07-14-2021	Continuous-variable neural-network quantum states and the quantum rotor model by James Stokes et al
07-15-2021	Online Learning for Recommendations at Grubhub by Alex Egg
07-13-2021	Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform by Sebastian Pölsterl et al
07-14-2021	A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors by Maitreyee Wairagkar et al
07-16-2021	Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems by Shaan Desai et al
07-13-2021	Scalable, Axiomatic Explanations of Deep Alzheimers Diagnosis from Heterogeneous Data by Sebastian Pölsterl et al
07-13-2021	Deep Ranking with Adaptive Margin Triplet Loss by Mai Lan Ha et al
07-14-2021	M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond by Florian Ziel
07-16-2021	Uncertainty Prediction for Machine Learning Models of Material Properties by Francesca Tavazza et al
07-13-2021	Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability by Dibya Ghosh et al
07-14-2021	CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction by Dingcheng Yang et al
07-14-2021	Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More by Johannes Klicpera et al
07-14-2021	Deduplicating Training Data Makes Language Models Better by Katherine Lee et al
07-14-2021	Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition by Hugo Flores Garcia et al
07-16-2021	Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach by Yang Li et al
07-16-2021	MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition by Hao Chen et al
07-16-2021	EGC2: Enhanced Graph Classification with Easy Graph Compression by Jinyin Chen et al
07-13-2021	Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks by Narges Gholipoor et al
07-15-2021	Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis by Feng Shi et al
07-13-2021	Going Beyond Linear RL: Sample Efficient Neural Function Approximation by Baihe Huang et al
07-15-2021	Principal component analysis for Gaussian process posteriors by Hideaki Ishibashi et al
07-15-2021	Recurrent Parameter Generators by Jiayun Wang et al
07-14-2021	Conservative Objective Models for Effective Offline Model-Based Optimization by Brandon Trabucco et al
07-15-2021	Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models by Daniel D. Johnson et al
07-16-2021	Graph Representation Learning for Road Type Classification by Zahra Gharaee et al
07-15-2021	Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks by Yufeng Xia et al
07-15-2021	Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems by Francisco Valente et al
07-13-2021	On Designing Good Representation Learning Models by Qinglin Li et al
07-13-2021	Exploiting Network Structures to Improve Semantic Representation for the Financial Domain by Chao Feng et al
07-13-2021	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition by Junkun Yuan et al
07-14-2021	Understanding Failures in Out-of-Distribution Detection with Deep Generative Models by Lily H. Zhang et al
07-16-2021	Controlled AutoEncoders to Generate Faces from Voices by Hao Liang et al
07-13-2021	Hierarchical Associative Memory by Dmitry Krotov
07-14-2021	AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning by Yihao Huang et al
07-14-2021	Expert Graphs: Synthesizing New Expertise via Collaboration by Bijan Mazaheri et al
07-13-2021	Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression by Jingyi Zhang et al
07-15-2021	Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update by Michał Dereziński et al
07-13-2021	Spectrum Gaussian Processes Based On Tunable Basis Functions by Wenqi Fang et al
07-13-2021	Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers by Patryk Orzechowski et al
07-14-2021	Federated Self-Training for Semi-Supervised Audio Recognition by Vasileios Tsouvalas et al
07-14-2021	DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI by Amir Yazdani et al
07-16-2021	Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations by Ben Moseley et al
07-13-2021	A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens by Trikay Nalamada et al
07-14-2021	A Framework for Machine Learning of Model Error in Dynamical Systems by Matthew E. Levine et al
07-15-2021	A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods by Bicheng Yan et al
07-14-2021	Hybrid Bayesian Neural Networks with Functional Probabilistic Layers by Daniel T. Chang
07-13-2021	DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement by Umang Bhatt et al
07-15-2021	NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming by Kyoungjun Park et al
07-13-2021	Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks by Jonas Busk et al
07-13-2021	Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments by Nipuni Ginige et al
07-15-2021	Training for temporal sparsity in deep neural networks, application in video processing by Amirreza Yousefzadeh et al
07-13-2021	A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU by Jesmin Jahan Tithi et al
07-14-2021	HTLM: Hyper-Text Pre-Training and Prompting of Language Models by Armen Aghajanyan et al
07-14-2021	Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests by Sean Kulinski et al
07-14-2021	Learning-based Spectrum Sensing and Access in Cognitive Radios via Approximate POMDPs by Bharath Keshavamurthy et al
07-15-2021	Auto-differentiable Ensemble Kalman Filters by Yuming Chen et al
07-15-2021	The Application of Active Query K-Means in Text Classification by Yukun Jiang
07-14-2021	The Benchmark Lottery by Mostafa Dehghani et al
07-14-2021	A Convolutional Neural Network Approach to the Classification of Engineering Models by Bharadwaj Manda et al
07-13-2021	The Foes of Neural Networks Data Efficiency Among Unnecessary Input Dimensions by Vanessa D'Amario et al
07-13-2021	Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection by Sergio Rojas-Galeano
07-15-2021	Only Train Once: A One-Shot Neural Network Training And Pruning Framework by Tianyi Chen et al
07-16-2021	Versatile modular neural locomotion control with fast learning by Mathias Thor et al
07-16-2021	Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks by Syed Ali Raza Zaidi
07-14-2021	DeepMutants: Training neural bug detectors with contextual mutations by Cedric Richter et al
07-13-2021	On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization by Julian Theis et al
07-15-2021	MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators by Jinyoung Choi et al
07-15-2021	Improving application performance with biased distributions of quantum states by Sanjaya Lohani et al
07-14-2021	Indonesias Fake News Detection using Transformer Network by Aisyah Awalina et al
07-15-2021	Variational Topic Inference for Chest X-Ray Report Generation by Ivona Najdenkoska et al
07-15-2021	You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack by Jacopo Tagliabue
07-13-2021	ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students by Shruti Priya et al
07-15-2021	Hierarchical graph neural nets can capture long-range interactions by Ladislav Rampášek et al
07-15-2021	Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data by Joshua M. Scurll
07-15-2021	MultiBench: Multiscale Benchmarks for Multimodal Representation Learning by Paul Pu Liang et al
07-16-2021	Graph Kernel Attention Transformers by Krzysztof Choromanski et al
07-15-2021	ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks by Khondker Fariha Hossain et al
07-13-2021	ATTACC the Quadratic Bottleneck of Attention Layers by Sheng-Chun Kao et al
07-14-2021	Fairness in Ranking under Uncertainty by Ashudeep Singh et al

07-15-2021	PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration by Yuda Song et al
07-14-2021	IFedAvg: Interpretable Data-Interoperability for Federated Learning by David Roschewitz et al
07-14-2021	Meta-Optimization of Deep CNN for Image Denoising Using LSTM by Basit O. Alawode et al
07-16-2021	Reinforcement Learning for Optimal Stationary Control of Linear Stochastic Systems by Bo Pang et al
07-14-2021	Deep Learning on a Data Diet: Finding Important Examples Early in Training by Mansheej Paul et al
07-13-2021	Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion by Xin Dong et al
07-16-2021	SOK: Seeing and Believing: Evaluating the Trustworthiness of Twitter Users by Tanveer Khan et al
07-16-2021	Online Graph Topology Learning from Matrix-valued Time Series by Yiye Jiang et al
07-16-2021	Robust Online Control with Model Misspecification by Xinyi Chen et al
07-14-2021	Large-Scale News Classification using BERT Language Model: Spark NLP Approach by Kuncahyo Setyo Nugroho et al
07-15-2021	Intersectional Bias in Causal Language Models by Liam Magee et al
07-15-2021	Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images by Andrew Moyes et al
07-13-2021	Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model by Carlos Hernandez-Olivan et al
07-13-2021	Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication by Hammad Zafar et al
07-15-2021	A unified framework for bandit multiple testing by Ziyu Xu et al
07-13-2021	Model-Parallel Model Selection for Deep Learning Systems by Kabir Nagrecha
07-14-2021	Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks by Ingmar Schubert et al
07-13-2021	What classifiers know what they dont? by Mohamed Ishmael Belghazi et al
07-14-2021	An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem by Bingjie Li et al
07-14-2021	Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines by Shigang Li et al
07-14-2021	Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network by Daniel Salles Civitarese et al
07-15-2021	Globally Convergent Multilevel Training of Deep Residual Networks by Alena Kopaničáková et al
07-16-2021	S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration by Zhi-Gang Liu et al
07-15-2021	Algorithmic Concept-based Explainable Reasoning by Dobrik Georgiev et al
07-13-2021	Tourbillon: a Physically Plausible Neural Architecture by Mohammadamin Tavakoli et al
07-16-2021	Single Pass Entrywise-Transformed Low Rank Approximation by Yifei Jiang et al
07-14-2021	Safer Reinforcement Learning through Transferable Instinct Networks by Djordje Grbic et al
07-13-2021	Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting by Florian Ziel
07-13-2021	Learnability of Learning Performance and Its Application to Data Valuation by Tianhao Wang et al
07-15-2021	Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting by Xiangyu Qi et al
07-14-2021	Entropic Inequality Constraints from ee-separation Relations in Directed Acyclic Graphs with Hidden Variables by Noam Finkelstein et al
07-14-2021	DIT4BEARs Smart Roads Internship by Md. Abrar Jahin et al
07-15-2021	Real-Time Face Recognition System for Remote Employee Tracking by Mohammad Sabik Irbaz et al
07-13-2021	Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities by Frank Nielsen
07-13-2021	Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize by Susama Agarwala et al
07-16-2021	Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach by Jan Berg et al
07-15-2021	High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR by Nico Lang et al
07-13-2021	Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection by Zhuangbin Chen et al
07-13-2021	Contextual Games: Multi-Agent Learning with Side Information by Pier Giuseppe Sessa et al
07-16-2021	Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods by Marylou Gabrié et al
07-15-2021	Adaptable Agent Populations via a Generative Model of Policies by Kenneth Derek et al
07-15-2021	AutoBERT-Zero: Evolving BERT Backbone from Scratch by Jiahui Gao et al
07-13-2021	Motion Planning by Learning the Solution Manifold in Trajectory Optimization by Takayuki Osa
07-13-2021	AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data by Han Yuan et al
07-14-2021	Efficient Learning of Pinball TWSVM using Privileged Information and its applications by Reshma Rastogi et al
07-15-2021	A multi-schematic classifier-independent oversampling approach for imbalanced datasets by Saptarshi Bej et al
07-14-2021	Deep Adaptive Multi-Intention Inverse Reinforcement Learning by Ariyan Bighashdel et al
07-15-2021	Copula-Based Normalizing Flows by Mike Laszkiewicz et al
07-14-2021	Hida-Mat\ern Kernel by Matthew Dowling et al
07-15-2021	Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo by Vyacheslav Kungurtsev et al
07-16-2021	Measuring Fairness in Generative Models by Christopher T. H Teo et al
07-13-2021	Everybody Is Unique: Towards Unbiased Human Mesh Recovery by Ren Li et al
07-15-2021	DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm by Ye Yuan et al
07-15-2021	An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling by Ian Colbert et al
07-14-2021	Disparity Between Batches as a Signal for Early Stopping by Mahsa Forouzesh et al
07-14-2021	A Field Guide to Federated Optimization by Jianyu Wang et al
07-15-2021	Optimal Scoring Rule Design by Yiling Chen et al
07-13-2021	Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval by Min Jin Chong et al
07-13-2021	Induced Domain Adaptation by Yang Liu et al
07-13-2021	Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning by Chuanqiang Shan et al
07-13-2021	Distributionally Robust Policy Learning via Adversarial Environment Generation by Allen Z. Ren et al
07-13-2021	BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint) by Tuomo Lahtinen et al
07-13-2021	Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage by Masatoshi Uehara et al
07-13-2021	Wasserstein GAN: Deep Generation applied on Bitcoins financial time series by Rikli Samuel et al
07-15-2021	On the expressivity of bi-Lipschitz normalizing flows by Alexandre Verine et al
07-15-2021	USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems by Guangmo Tong
07-16-2021	Tracing Halpha Fibrils through Bayesian Deep Learning by Haodi Jiang et al
07-13-2021	Automated Learning Rate Scheduler for Large-batch Training by Chiheon Kim et al
07-15-2021	MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning by Kevin Li et al
07-14-2021	Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group by Johanna Erdmenger et al
07-13-2021	CADSketchNet -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks by Bharadwaj Manda et al
07-15-2021	On the Importance of Regularisation & Auxiliary Information in OOD Detection by John Mitros et al
07-14-2021	Oblivious sketching for logistic regression by Alexander Munteanu et al

07-15-2021	Multi-task Learning with Cross Attention for Keyword Spotting by Takuya Higuchi et al
07-15-2021	Algorithmic insights on continual learning from fruit flies by Yang Shen et al
07-13-2021	A Graph Data Augmentation Strategy with Entropy Preserving by Xue Liu et al
07-15-2021	Lockout: Sparse Regularization of Neural Networks by Gilmer Valdes et al
07-13-2021	Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey by Marwan Dhuheir et al
07-14-2021	Detection of Abnormal Behavior with Self-Supervised Gaze Estimation by Suneung-Kim et al
07-13-2021	Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation by Pierre Marza et al
07-13-2021	Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors by M. Ben Amor et al
07-16-2021	A Causal Perspective on Meaningful and Robust Algorithmic Recourse by Gunnar König et al
07-14-2021	Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities by Miklos Z. Racz et al
07-16-2021	Property-aware Adaptive Relation Networks for Molecular Property Prediction by Yaqing Wang et al
07-15-2021	Correlation detection in trees for partial graph alignment by Luca Ganassali et al
07-16-2021	Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections by Hyeon Jeon et al
07-13-2021	For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets by Brian L. Trippe et al
07-16-2021	Towards an Interpretable Latent Space in Structured Models for Video Prediction by Rushil Gupta et al
07-14-2021	BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews by Kuncahyo Setyo Nugroho et al
07-15-2021	Input Dependent Sparse Gaussian Processes by Bahram Jafrasteh et al
07-14-2021	Continuous vs. Discrete Optimization of Deep Neural Networks by Omer Elkabetz et al
07-14-2021	A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer by Wenqi Zeng et al
07-15-2021	A Channel Coding Benchmark for Meta-Learning by Rui Li et al
07-14-2021	A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing by Wei Liu et al
07-14-2021	Zero-Round Active Learning by Si Chen et al
07-15-2021	FLEX: Unifying Evaluation for Few-Shot NLP by Jonathan Bragg et al
07-14-2021	Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration by Miroslav Bogdanovic et al
07-14-2021	Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures by Yair Bartal et al
07-13-2021	A Deep Generative Artificial Intelligence system to decipher species coexistence patterns by J. Hirn et al
07-13-2021	Real-Time Pothole Detection Using Deep Learning by Anas Al Shaghouri et al
07-14-2021	Mapping Learning Algorithms on Data, a useful step for optimizing performances and their comparison by Filippo Neri
07-15-2021	A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification by Anastasios N. Angelopoulos et al
07-16-2021	Machine-learning Kondo physics using variational autoencoders by Cole Miles et al
07-16-2021	Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements by Kimon Antonakopoulos et al
07-16-2021	NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data by Francesco Cognolato et al
07-16-2021	ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data by Arnab Kumar Mondal et al
07-15-2021	Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks by Ismail Alarab et al
07-16-2021	Revisiting IoT Device Identification by Roman Kolcun et al
07-14-2021	MESS: Manifold Embedding Motivated Super Sampling by Erik Thordsen et al
07-14-2021	Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference by Jackson Farley et al
07-14-2021	Differential-Critic GAN: Generating What You Want by a Cue of Preferences by Yinghua Yao et al
07-15-2021	What Image Features Boost Housing Market Predictions? by Zona Kostic et al
07-16-2021	Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks by Ushnish Sengupta et al
07-14-2021	Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps by M. A. Gutierrez-Estevez et al
07-14-2021	Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain by Martin Svedin et al
07-13-2021	How Much Can CLIP Benefit Vision-and-Language Tasks? by Sheng Shen et al
07-14-2021	Online Evaluation Methods for the Causal Effect of Recommendations by Masahiro Sato
07-16-2021	Entropic alternatives to initialization by Daniele Musso
07-13-2021	Object Tracking and Geo-localization from Street Images by Daniel Wilson et al
07-16-2021	Constrained Feedforward Neural Network Training via Reachability Analysis by Long Kiu Chung et al
07-15-2021	Multi-label Chaining with Imprecise Probabilities by Yonatan Carlos Carranza Alarcón et al
07-16-2021	Ranking labs-of-origin for genetically engineered DNA using Metric Learning by I. Muniz et al
07-16-2021	An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling by Tim Hahn et al
07-15-2021	Data vs classifiers, who wins? by Lucas F. F. Cardoso et al
07-14-2021	Performance of Bayesian linear regression in a model with mismatch by Jean Barbier et al
07-14-2021	TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence by Davide Bacciu et al
07-15-2021	SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing by Zhicheng Cai
07-15-2021	Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks by Andrey Malinin et al
07-16-2021	Modeling User Behaviour in Research Paper Recommendation System by Arpita Chaudhuri et al
07-15-2021	CLSRIL-23: Cross Lingual Speech Representations for Indic Languages by Anirudh Gupta et al
07-15-2021	Auditing for Diversity using Representative Examples by Vijay Keswani et al
07-13-2021	On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques by Chikara Nakamura
07-14-2021	On the impossibility of non-trivial accuracy under fairness constraints by Carlos Pinzón et al
07-14-2021	FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements by Szymon Płotka et al
07-13-2021	Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes by Avishek Ghosh et al
07-13-2021	Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music by Hao-Wen Dong et al
07-16-2021	Representation Consolidation for Training Expert Students by Zhizhong Li et al
07-14-2021	A Distance Measure for Privacy-preserving Process Mining based on Feature Learning by Fabian Rösel et al
07-16-2021	Is attention to bounding boxes all you need for pedestrian action prediction? by Lina Achaji et al
07-13-2021	Inverse Contextual Bandits: Learning How Behavior Evolves over Time by Alihan Hüyük et al
07-16-2021	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference by Chaojian Li et al
07-16-2021	Pseudo-labelling Enhanced Media Bias Detection by Qin Ruan et al
07-16-2021	Neural Contextual Anomaly Detection for Time Series by Chris U. Carmona et al
07-14-2021	Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data by Alaa Awad Abdellatif et al
07-14-2021	ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition by Afra Alishahia et al
07-13-2021	Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization by Xingxuan Zhang et al
07-14-2021	Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning by Rakshit Naidu et al
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