2021.9.6 Learning papers

09-01-2021	Variable Augmented Network for Invertible Modality Synthesis-Fusion by Yuhao Wang et al
08-31-2021	Quantized convolutional neural networks through the lens of partial differential equations by Ido Ben-Yair et al
08-31-2021	GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems by Zhen Zhang et al
09-03-2021	Large-Scale Learning with Fourier Features and Tensor Decompositions by Frederiek Wesel et al
09-01-2021	Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks by Xudong Shen et al
09-01-2021	Proof Transfer for Neural Network Verification by Christian Sprecher et al
09-01-2021	Active Inference and Epistemic Value in Graphical Models by Thijs van de Laar et al
09-01-2021	Variational Quantum Reinforcement Learning via Evolutionary Optimization by Samuel Yen-Chi Chen et al
09-02-2021	VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series by Daesoo Lee et al
08-31-2021	A Subsampling-Based Method for Causal Discovery on Discrete Data by Austin Goddard et al
08-31-2021	Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals by Madhurananda Pahar et al
09-02-2021	Inferring feature importance with uncertainties in high-dimensional data by Pål Vegard Johnsen et al
09-02-2021	Adversarial Robustness for Unsupervised Domain Adaptation by Muhammad Awais et al
09-03-2021	Sample Noise Impact on Active Learning by Alexandre Abraham et al
08-31-2021	Multistage Pruning of CNN Based ECG Classifiers for Edge Devices by Xiaolin Li et al
09-02-2021	MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization by Eshagh Kargar et al
08-31-2021	Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning by Sean M. Hendryx et al
08-31-2021	Asynchronous Federated Learning for Sensor Data with Concept Drift by Yujing Chen et al
09-02-2021	An Empirical Study of Graph Contrastive Learning by Yanqiao Zhu et al
08-31-2021	MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics by Kunhao Zheng et al
09-01-2021	Position Masking for Improved Layout-Aware Document Understanding by Anik Saha et al
08-31-2021	Learning Practically Feasible Policies for Online 3D Bin Packing by Hang Zhao et al
08-31-2021	Bayesian learning of forest and tree graphical models by Edmund Jones
08-31-2021	Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study by Pavel Andreev et al
09-03-2021	Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows by Hamidreza Eivazi et al
08-31-2021	GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization by Yen-Hsiu Chou et al
09-02-2021	Heterogeneous relational message passing networks for molecular dynamics simulations by Zun Wang et al
09-02-2021	A Comparative Study of Algorithms for Intelligent Traffic Signal Control by Hrishit Chaudhuri et al
09-02-2021	Self-timed Reinforcement Learning using Tsetlin Machine by Adrian Wheeldon et al
09-03-2021	J-Score: A Robust Measure of Clustering Accuracy by Navid Ahmadinejad et al
08-31-2021	Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts by Lisa Jöckel et al
09-03-2021	Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms by Bemali Wickramanayake et al
09-01-2021	TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes by Ignacio Sarasua et al
09-03-2021	LightAutoML: AutoML Solution for a Large Financial Services Ecosystem by Anton Vakhrushev et al
08-31-2021	Phy-Q: A Benchmark for Physical Reasoning by Cheng Xue et al
08-31-2021	Attention-based Multi-Reference Learning for Image Super-Resolution by Marco Pesavento et al
09-03-2021	Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding by Xin Chen et al
09-02-2021	Benchmarking the Robustness of Instance Segmentation Models by Said Fahri Altindis et al
09-01-2021	An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation by Yan Shen et al
09-02-2021	The Functional Correspondence Problem by Zihang Lai et al
09-02-2021	What Users Want? WARHOL: A Generative Model for Recommendation by Jules Samaran et al
08-31-2021	Disentanglement Analysis with Partial Information Decomposition by Seiya Tokui et al
08-31-2021	Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications by Lorenzo Cazzella et al
09-02-2021	Energy-Efficient Multi-Orchestrator Mobile Edge Learning by Mhd Saria Allahham et al
09-03-2021	Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters by Hu et al
08-31-2021	Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks by Fengbin Zhang et al
08-31-2021	Implicit Behavioral Cloning by Pete Florence et al
08-31-2021	Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression by Mengying Lei et al
09-02-2021	MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator by Rhys Green et al
09-03-2021	Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations by Jared O'Leary et al
09-03-2021	A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms by Xuetong Wu et al
09-03-2021	Edge-featured Graph Neural Architecture Search by Shaofei Cai et al
09-01-2021	TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks by Amirarsalan Rajabi et al
08-31-2021	Learning Optimal Prescriptive Trees from Observational Data by Nathanael Jo et al
09-02-2021	Learning to Prompt for Vision-Language Models by Kaiyang Zhou et al
09-02-2021	Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory by Jonathan Leake et al
08-31-2021	Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India by Hanuman Verma et al
08-31-2021	Chi-square Loss for Softmax: an Echo of Neural Network Structure by Zeyu Wang et al
08-31-2021	Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation by Ioannis Partalas
09-02-2021	Entity Linking and Discovery via Arborescence-based Supervised Clustering by Dhruv Agarwal et al
09-03-2021	Statistical Estimation and Inference via Local SGD in Federated Learning by Xiang Li et al
09-01-2021	Global Convolutional Neural Processes by Xuesong Wang et al
09-01-2021	Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification by Chihao Zhang et al
09-01-2021	Regional Adversarial Training for Better Robust Generalization by Chuanbiao Song et al
08-31-2021	Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations by Shameem A. Puthiya Parambath et al
09-02-2021	Sparsifying the Update Step in Graph Neural Networks by Johannes F. Lutzeyer et al
09-02-2021	Characterizing possible failure modes in physics-informed neural networks by Aditi S. Krishnapriyan et al
09-02-2021	Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? by Samson Wang et al
09-02-2021	Transformer Networks for Data Augmentation of Human Physical Activity Recognition by Sandeep Ramachandra et al
08-31-2021	Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation by Sambuddha Ghosal et al
09-03-2021	A New Approach to Multilabel Stratified Cross Validation with Application to Large and Sparse Gene Ontology Datasets by Henri Tiittanen et al
08-31-2021	Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations by Alec J. Linot et al
09-03-2021	Biomedical Data-to-Text Generation via Fine-Tuning Transformers by Ruslan Yermakov et al
09-01-2021	Excess Capacity and Backdoor Poisoning by Naren Sarayu Manoj et al
09-02-2021	RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce by Liping Yang et al
09-03-2021	Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation by Jiahui Li et al
08-31-2021	Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples by Gary K. Nave et al
09-03-2021	Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique by Somenath Chakraborty et al
09-02-2021	Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance by Yuya Onishi et al
09-01-2021	Wearable-based Classification of Running Styles with Deep Learning by Setareh Rahimi Taghanaki et al
09-01-2021	Streaming data preprocessing via online tensor recovery for large environmental sensor networks by Yue Hu et al
08-31-2021	Position-based Hash Embeddings For Scaling Graph Neural Networks by Maria Kalantzi et al
09-01-2021	WebQA: Multihop and Multimodal QA by Yingshan Chang et al
09-03-2021	Impact of GPU uncertainty on the training of predictive deep neural networks by Maciej Pietrowski et al
09-01-2021	RIFLE: Robust Inference from Low Order Marginals by Sina Baharlouei et al
09-01-2021	LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces by Shuhan Zhang et al
08-31-2021	Effectiveness of Deep Networks in NLP using BiDAF as an example architecture by Soumyendu Sarkar
09-03-2021	CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models by Arjun R. Akula et al
09-01-2021	Dash: Semi-Supervised Learning with Dynamic Thresholding by Yi Xu et al
08-31-2021	A Survey of Exploration Methods in Reinforcement Learning by Susan Amin et al
09-01-2021	Bilinear Input Normalization for Neural Networks in Financial Forecasting by Dat Thanh Tran et al
08-31-2021	Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space by Linus Scheibenreif et al
08-31-2021	Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization by Mohammadamin Atashi et al
09-02-2021	Deep Learning-based mitosis detection in breast cancer histologic samples by Michel Halmes et al
09-02-2021	Optimal subgroup selection by Henry W. J. Reeve et al
09-02-2021	Brief View and Analysis to Latest Android Security Issues and Approaches by Ruicong Huang
09-03-2021	Is Machine Learning Ready for Traffic Engineering Optimization? by Guillermo Bernárdez et al
08-31-2021	Learning to Synthesize Programs as Interpretable and Generalizable Policies by Dweep Trivedi et al
09-03-2021	Ground-Assisted Federated Learning in LEO Satellite Constellations by Nasrin Razmi et al
09-01-2021	Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems by Shailesh Garg et al
09-01-2021	Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence by Wennan Chang et al
09-01-2021	R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors by Alberto Marchisio et al
09-01-2021	A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis by Jacob Leygonie et al
09-01-2021	Under-bagging Nearest Neighbors for Imbalanced Classification by Hanyuan Hang et al
09-01-2021	ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection by Junichi Yamagishi et al
09-01-2021	The Minimax Complexity of Distributed Optimization by Blake Woodworth
09-01-2021	ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan by Héctor Delgado et al
08-31-2021	InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images by Anoop Cherian et al
09-02-2021	Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study by Xuhong Li et al
08-31-2021	A manifold learning perspective on representation learning: Learning decoder and representations without an encoder by Viktoria Schuster et al
09-02-2021	On-target Adaptation by Dequan Wang et al
09-02-2021	SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos by Nada Osman et al
09-02-2021	Computing Graph Descriptors on Edge Streams by Zohair Raza Hassan et al
08-31-2021	Look Whos Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default by Lisa Crosato et al
08-31-2021	Bubblewrap: Online tiling and real-time flow prediction on neural manifolds by Anne Draelos et al
09-03-2021	LG4AV: Combining Language Models and Graph Neural Networks for Author Verification by Maximilian Stubbemann et al
09-02-2021	A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples by Guanxiong Liu et al
09-01-2021	Towards Improving Adversarial Training of NLP Models by Jin Yong Yoo et al
09-03-2021	Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning by Maarja Bussov et al
09-02-2021	Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds by Juntao Huang et al
08-31-2021	Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records by Yogesh Kumar et al
09-02-2021	Efficient Algorithms For Fair Clustering with a New Fairness Notion by Shivam Gupta et al
09-03-2021	Multi-agent Natural Actor-critic Reinforcement Learning Algorithms by Prashant Trivedi et al
09-01-2021	Properly learning decision trees in almost polynomial time by Guy Blanc et al
09-01-2021	Selecting Optimal Trace Clustering Pipelines with AutoML by Sylvio Barbon et al
09-01-2021	A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection by Shibo Zhang et al
09-01-2021	Wasserstein GANs with Gradient Penalty Compute Congested Transport by Tristan Milne et al
09-01-2021	Dont Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques by Hossein Amirkhani et al
09-01-2021	The Role of Explainability in Assuring Safety of Machine Learning in Healthcare by Yan Jia et al
09-01-2021	Boosting Search Engines with Interactive Agents by Leonard Adolphs et al
09-01-2021	Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics by Xiaotian Jiang et al
09-02-2021	MrSQM: Fast Time Series Classification with Symbolic Representations by Thach Le Nguyen et al
08-31-2021	FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes by Alan Mishler et al
09-01-2021	Complexity Measures for Multi-objective Symbolic Regression by Michael Kommenda et al
09-02-2021	CrypTen: Secure Multi-Party Computation Meets Machine Learning by Brian Knott et al
09-02-2021	Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation by Suraj Nair et al
09-02-2021	Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models by Afshin Shoeibi et al
08-31-2021	Towards Out-Of-Distribution Generalization: A Survey by Zheyan Shen et al
09-03-2021	Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations by Suprosanna Shit et al

09-02-2021	On the Accuracy of Analog Neural Network Inference Accelerators by T. Patrick Xiao et al
08-31-2021	Working Memory Connections for LSTM by Federico Landi et al
08-31-2021	Machine-Learning media bias by Samantha D'Alonzo et al
09-01-2021	Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification by Shuhuai Ren et al
09-01-2021	Conditional Extreme Value Theory for Open Set Video Domain Adaptation by Zhuoxiao Chen et al
09-01-2021	Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation by Tiantian Zhang et al
09-01-2021	On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation by Eric Brachmann et al
09-03-2021	Topographic VAEs learn Equivariant Capsules by T. Anderson Keller et al
08-31-2021	Effective Sequence-to-Sequence Dialogue State Tracking by Jeffrey Zhao et al
08-31-2021	Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization by Shuai Wang et al
09-03-2021	Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation by Haoran Yang et al
09-02-2021	Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians by Sami Davies et al
08-31-2021	EG-Booster: Explanation-Guided Booster of ML Evasion Attacks by Abderrahmen Amich et al
08-31-2021	Heterogeneous Graph Neural Network with Multi-view Representation Learning by Zezhi Shao et al
09-02-2021	Sequence-to-Sequence Learning with Latent Neural Grammars by Yoon Kim
09-01-2021	The Impact of Reinitialization on Generalization in Convolutional Neural Networks by Ibrahim Alabdulmohsin et al
09-02-2021	Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach by Xiaowu Sun et al
09-03-2021	Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks by Yogesh Kochar et al
09-02-2021	Estimating Demand Flexibility Using Siamese LSTM Neural Networks by Guangchun Ruan et al
08-31-2021	Half-Space and Box Constraints as NUV Priors: First Results by Raphael Keusch et al
09-01-2021	Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues by Liyan Xu et al
08-31-2021	Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning by Doha Al Bared et al
09-02-2021	Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes by Naoto Ohsaka
09-02-2021	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond by Amir Feder et al
09-02-2021	Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model by Fumio Hashimoto et al
09-03-2021	Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles by Robert Matthijs Verschuren
09-01-2021	Learning compositional programs with arguments and sampling by Giovanni De Toni et al
08-31-2021	Decision Tree-Based Predictive Models for Academic Achievement Using College Students Support Networks by Anthony Frazier et al
08-31-2021	Improving Multimodal fusion via Mutual Dependency Maximisation by Pierre Colombo et al
09-03-2021	Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process by Christoph Molnar et al
09-02-2021	Semi-Supervised Learning using Siamese Networks by Attaullah Sahito et al
09-02-2021	Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent by Muhammad Fadli Damara et al
09-02-2021	Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions by Dan M. Kluger et al
09-01-2021	Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts by Isabel Segura-Bedmar et al
08-31-2021	A Weight Initialization Based on the Linear Product Structure for Neural Networks by Qipin Chen et al
09-01-2021	Approximation Properties of Deep ReLU CNNs by Juncai He et al
09-02-2021	Cascade RCNN for MIDOG Challenge by Salar Razavi et al
09-02-2021	Text Classification for Predicting Multi-level Product Categories by Hadi Jahanshahi et al
08-31-2021	Deep Learning on Edge TPUs by Andreas M Kist
09-01-2021	Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation by Liyan Xu et al
09-01-2021	FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection by Hugo Carneiro et al
09-01-2021	Active label cleaning: Improving dataset quality under resource constraints by Melanie Bernhardt et al
09-01-2021	Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks by Edward Verenich et al
08-31-2021	WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU by Tian Lan et al
08-31-2021	Morphence: Moving Target Defense Against Adversarial Examples by Abderrahmen Amich et al
09-02-2021	Waveform Learning for Next-Generation Wireless Communication Systems by Fayçal Ait Aoudia et al
08-31-2021	Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods by Tobias Alt et al
08-31-2021	Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning by Yanqiao Zhu et al
08-31-2021	Super-Resolution Appearance Transfer for 4D Human Performances by Marco Pesavento et al
09-03-2021	Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry by Ji Yang et al
09-01-2021	FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning by Zhifeng Jiang et al
09-02-2021	How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data by Zhiyuan Zhang et al
09-03-2021	Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems by Bo Sun et al
09-02-2021	Co-Separable Nonnegative Matrix Factorization by Junjun Pan et al
08-31-2021	When are Deep Networks really better than Random Forests at small sample sizes? by Haoyin Xu et al
09-02-2021	End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning by Yuanyuan Shi et al
09-01-2021	Deep [Math Processing Error]L1 Stochastic Optimal Control Policies for Planetary Soft-landing by Marcus A. Pereira et al
09-01-2021	Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets by Pankaj Mishra et al
09-01-2021	An Empirical Study on the Joint Impact of Feature Selection and Data Resampling on Imbalance Classification by Chongsheng Zhang et al
09-01-2021	Federated Learning: Issues in Medical Application by Joo Hun Yoo et al
08-31-2021	SemIE: Semantically-aware Image Extrapolation by Bholeshwar Khurana et al
08-31-2021	Evaluating the Robustness of Off-Policy Evaluation by Yuta Saito et al
08-31-2021	S4-Crowd: Semi-Supervised Learning with Self-Supervised Regularisation for Crowd Counting by Haoran Duan et al
08-31-2021	Approximation Methods for Partially Observed Markov Decision Processes (POMDPs) by Caleb M. Bowyer
08-31-2021	Sense representations for Portuguese: experiments with sense embeddings and deep neural language models by Jessica Rodrigues da Silva et al
09-03-2021	Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models by Hiroki Ito et al
09-01-2021	You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection by Satvik Venkatesh et al
09-03-2021	Efficient Communication in Multi-Agent Distributed Reinforcement Learning by Daniel Jarne Ornia et al
09-01-2021	Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development by Mingkuan Liu et al
09-02-2021	NASI: Label- and Data-agnostic Neural Architecture Search at Initialization by Yao Shu et al
09-02-2021	Multimodal Conditionality for Natural Language Generation by Michael Sollami et al
09-02-2021	So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements by James A. Michaelov et al
09-02-2021	GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps by Oren Barkan et al
08-31-2021	APS: Active Pretraining with Successor Features by Hao Liu et al
09-02-2021	Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts by Sage Bergerson
08-31-2021	Cross-Lingual Text Classification of Transliterated Hindi and Malayalam by Jitin Krishnan et al
08-31-2021	Task-Oriented Communication for Multi-Device Cooperative Edge Inference by Jiawei Shao et al
09-01-2021	Problem Learning: Towards the Free Will of Machines by Yongfeng Zhang
08-31-2021	Its not Rocket Science : Interpreting Figurative Language in Narratives by Tuhin Chakrabarty et al
08-31-2021	Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training by Maximus Mutschler et al
09-02-2021	Building Compact and Robust Deep Neural Networks with Toeplitz Matrices by Alexandre Araujo