2021.2.22 AI papers

02-16-2021	COMBO: Conservative Offline Model-Based Policy Optimization by Tianhe Yu et al
02-18-2021	A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback by Benjamin Patrick Evans et al
02-17-2021	Weakly Supervised Learning of Rigid 3D Scene Flow by Zan Gojcic et al
02-17-2021	Deep Learning for Market by Order Data by Zihao Zhang et al
02-18-2021	Delving into Deep Imbalanced Regression by Yuzhe Yang et al
02-18-2021	Clockwork Variational Autoencoders for Video Prediction by Vaibhav Saxena et al
02-18-2021	SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering by Bo Liu et al
02-17-2021	Understanding algorithmic collusion with experience replay by Bingyan Han
02-18-2021	Improved Denoising Diffusion Probabilistic Models by Alex Nichol et al
02-17-2021	Understanding and Creating Art with AI: Review and Outlook by Eva Cetinic et al
02-18-2021	Training Microsoft News Recommenders with Pretrained Language Models in the Loop by Shitao Xiao et al
02-17-2021	Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking by Jiachen Li et al
02-17-2021	BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation by Xing Li et al
02-17-2021	ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs by Sebastian Monka et al
02-16-2021	Hierarchical VAEs Know What They Dont Know by Jakob D. Havtorn et al
02-17-2021	Learning Invariant Representation of Tasks for Robust Surgical State Estimation by Yidan Qin et al
02-16-2021	Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning by Baiyu Peng et al
02-17-2021	Domain Impression: A Source Data Free Domain Adaptation Method by Vinod K Kurmi et al
02-18-2021	Fake News Detection: a comparison between available Deep Learning techniques in vector space by Lovedeep Singh
02-18-2021	Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays by Joseph Paul Cohen et al
02-17-2021	Entity-level Factual Consistency of Abstractive Text Summarization by Feng Nan et al
02-16-2021	TableLab: An Interactive Table Extraction System with Adaptive Deep Learning by Nancy Xin Ru Wang et al
02-17-2021	Few-shot Conformal Prediction with Auxiliary Tasks by Adam Fisch et al
02-16-2021	Quantifying environment and population diversity in multi-agent reinforcement learning by Kevin R. McKee et al
02-17-2021	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n1/n Parameters by Aston Zhang et al
02-17-2021	Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters by Mohita Chaudhary et al
02-17-2021	Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming by Mingyuan Zhong et al
02-17-2021	S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration by Zhiqiang Shen et al
02-16-2021	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs by Harini Suresh et al
02-17-2021	Finite-Time Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models by Donghwan Lee
02-17-2021	Sparsely Factored Neural Machine Translation by Noe Casas et al
02-17-2021	FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks by Lingjiao Chen et al
02-16-2021	Boosting Deep Transfer Learning for COVID-19 Classification by Fouzia Altaf et al
02-16-2021	SiMaN: Sign-to-Magnitude Network Binarization by Mingbao Lin et al
02-18-2021	Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning by Desmond Cai et al
02-16-2021	Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images by Sampa Misra et al
02-18-2021	A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations by Milan Straka et al
02-16-2021	An AutoML-based Approach to Multimodal Image Sentiment Analysis by Vasco Lopes et al
02-17-2021	Temporal Memory Attention for Video Semantic Segmentation by Hao Wang et al
02-17-2021	On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification by Alejandro Barredo Arrieta et al
02-16-2021	Learning Invariant Representations using Inverse Contrastive Loss by Aditya Kumar Akash et al
02-18-2021	L2E: Learning to Exploit Your Opponent by Zhe Wu et al
02-16-2021	A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy by Kevin Bello et al
02-19-2021	Model-Invariant State Abstractions for Model-Based Reinforcement Learning by Manan Tomar et al
02-18-2021	SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning by Félix Chalumeau et al
02-16-2021	Uncertainty-based method for improving poorly labeled segmentation datasets by Ekaterina Redekop et al
02-18-2021	Causal Inference Q-Network: Toward Resilient Reinforcement Learning by Chao-Han Huck Yang et al
02-16-2021	A comparative study on movement feature in different directions for micro-expression recognition by Jinsheng Wei et al
02-18-2021	Reinforcement Learning for Datacenter Congestion Control by Chen Tessler et al
02-17-2021	I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion by Ivona Tautkute et al
02-17-2021	Open-Retrieval Conversational Machine Reading by Yifan Gao et al
02-18-2021	Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks by Shreyas Chaudhari et al
02-16-2021	Mode-Assisted Joint Training of Deep Boltzmann Machines by Haik Manukian et al
02-16-2021	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation by Yundong Zhang et al
02-18-2021	Reduced-Order Neural Network Synthesis with Robustness Guarantees by Ross Drummond et al
02-16-2021	Integrating Pre-trained Model into Rule-based Dialogue Management by Jun Quan et al
02-18-2021	Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football by Ryan Beal et al
02-16-2021	The Yin-Yang dataset by Laura Kriener et al
02-18-2021	Hierarchical Learning Using Deep Optimum-Path Forest by Luis C. S. Afonso et al
02-19-2021	Condensed Composite Memory Continual Learning by Felix Wiewel et al
02-16-2021	Steadily Learn to Drive with Virtual Memory by Yuhang Zhang et al
02-16-2021	FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud by Jinho Hwang et al
02-16-2021	A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection by Ning Li et al
02-16-2021	Composing Pick-and-Place Tasks By Grounding Language by Oier Mees et al
02-16-2021	A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles by Jiahuan Pei et al
02-18-2021	To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making by Zana Buçinca et al
02-18-2021	Learning Memory-Dependent Continuous Control from Demonstrations by Siqing Hou et al
02-19-2021	Implicit Regularization in Tensor Factorization by Noam Razin et al
02-19-2021	VisuoSpatial Foresight for Physical Sequential Fabric Manipulation by Ryan Hoque et al
02-19-2021	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space by Wilko Schwarting et al
02-17-2021	Muddling Labels for Regularization, a novel approach to generalization by Karim Lounici et al
02-16-2021	Training Stacked Denoising Autoencoders for Representation Learning by Jason Liang et al
02-16-2021	Enhancing Hierarchical Information by Using Metric Cones for Graph Embedding by Daisuke Takehara et al
02-19-2021	Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy by Nicolas Duminy et al
02-16-2021	EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication by Nabil Ibtehaz et al
02-17-2021	Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View by Tianyu Liu et al
02-17-2021	Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning by Byungchan Ko et al
02-17-2021	Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan by Essam A. Rashed et al
02-17-2021	Fully General Online Imitation Learning by Michael K. Cohen et al
02-18-2021	A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation by del Amor Rocío et al
02-19-2021	Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas by Tom Hope et al
02-17-2021	From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention by Cansu Sen et al
02-16-2021	Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments by Amin Rakhsha et al
02-16-2021	Spatio-Temporal Multi-step Prediction of Influenza Outbreaks by Jie Zhang et al
02-19-2021	SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving by George Eskandar et al
02-19-2021	Analytics and Machine Learning in Vehicle Routing Research by Ruibin Bai et al
02-19-2021	Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review by Zakria et al
02-17-2021	IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT by Kahraman Kostas et al
02-17-2021	A Graph Neural Network to Model User Comfort in Robot Navigation by Pilar Bachiller et al
02-19-2021	Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection by Debjoy Saha et al
02-18-2021	Privacy-Preserving Teacher-Student Deep Reinforcement Learning by Parham Gohari et al
02-19-2021	TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning by Minchao Wu et al
02-16-2021	Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare by Sangwon Seo et al
02-16-2021	Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning by Jakob Greis et al
02-17-2021	An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets by Alexander Felfernig et al
02-19-2021	Sentiment Analysis for YouTube Comments in Roman Urdu by Tooba Tehreem
02-16-2021	Self-Triggered Markov Decision Processes by Yunhan Huang et al
02-19-2021	A Projection Algorithm for the Unitary Weights by Hao-Yuan Chang
02-18-2021	Fuzzy clustering algorithms with distance metric learning and entropy regularization by Sara Ines Rizo Rodriguez et al
02-18-2021	Improving DeepFake Detection Using Dynamic Face Augmentation by Sowmen Das et al
02-19-2021	A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization by Jia Bi et al
02-16-2021	Towards the Right Kind of Fairness in AI by Boris Ruf et al
02-19-2021	Training Neural Networks is ER-complete by Mikkel Abrahamsen et al
02-16-2021	Dynamic neighbourhood optimisation for task allocation using multi-agent by Niall Creech et al
02-19-2021	Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion by Zijian Wang et al
02-16-2021	D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis by Yunhui Zheng et al
02-16-2021	Transferring Domain Knowledge with an Adviser in Continuous Tasks by Rukshan Wijesinghe et al
02-17-2021	Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study by Kristina Gligorić et al
02-16-2021	Value of Information for Argumentation based Intelligence Analysis by Todd Robinson
02-17-2021	ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens by Giulia Cisotto et al
02-19-2021	Probabilistic Generating Circuits by Honghua Zhang et al
02-18-2021	iX-BSP: Incremental Belief Space Planning by Elad I. Farhi et al
02-16-2021	Nominal Unification and Matching of Higher Order Expressions with Recursive Let by Manfred Schmidt-Schauß et al
02-16-2021	Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic by Raid R. Al-Nima et al
02-19-2021	Neural Kalman Filtering by Beren Millidge et al
02-16-2021	Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks by Itay Hubara et al
02-16-2021	Dynamic Virtual Graph Significance Networks for Predicting Influenza by Jie Zhang et al
02-18-2021	Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer by Seohyeong Jeong et al
02-16-2021	Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks by Benedek Rozemberczki et al
02-17-2021	Grid Cell Path Integration For Movement-Based Visual Object Recognition by Niels Leadholm et al
02-16-2021	On the use of generative deep neural networks to synthesize artificial multichannel EEG signals by Ozan Ozdenizci et al
02-16-2021	Resource allocation in dynamic multiagent systems by Niall Creech et al
02-16-2021	Music Harmony Generation, through Deep Learning and Using a Multi-Objective Evolutionary Algorithm by Maryam Majidi et al
02-17-2021	Towards Utility-based Prioritization of Requirements in Open Source Environments by Alexander Felfernig et al
02-17-2021	An asymptotic analysis of probabilistic logic programming with implications for expressing projective families of distributions by Felix Weitkämper
02-16-2021	A Mental Trespass? Unveiling Truth, Exposing Thoughts and Threatening Civil Liberties with Non-Invasive AI Lie Detection by Taylan Sen et al
02-18-2021	Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks by Bibek Paudel et al
02-19-2021	Continual Learning from Synthetic Data for a Humanoid Exercise Robot by Nicolas Duczek et al
02-19-2021	Controller Synthesis for Golog Programs over Finite Domains with Metric Temporal Constraints by Till Hofmann et al
02-19-2021	A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective by Stephen Bonner et al
02-19-2021	Anytime Diagnosis for Reconfiguration by Alexander Felfernig et al
02-18-2021	MUDES: Multilingual Detection of Offensive Spans by Tharindu Ranasinghe et al
02-17-2021	An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition by David J. Jilk
02-17-2021	Genetically Optimized Prediction of Remaining Useful Life by Shaashwat Agrawal et al
02-17-2021	Symmetry Breaking for k-Robust Multi-Agent Path Finding by Zhe Chen et al
02-16-2021	Recommender Systems for Configuration Knowledge Engineering by Alexander Felfernig et al
02-16-2021	Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter by Robert McCluskey et al
02-16-2021	Meta-Path-Free Representation Learning on Heterogeneous Networks by Jie Zhang et al
02-18-2021	Dynamic curriculum learning via data parameters for noise robust keyword spotting by Takuya Higuchi et al
02-19-2021	Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming by Daniel T. Larsson et al