2020.11.16 AI papers

11-12-2020	A Transfer Learning Framework for Anomaly Detection Using Model of Normality by Sulaiman Aburakhia et al
11-10-2020	Dont Read Too Much into It: Adaptive Computation for Open-Domain Question Answering by Yuxiang Wu et al
11-10-2020	Continual Learning of Control Primitives: Skill Discovery via Reset-Games by Kelvin Xu et al
11-12-2020	Reinforcement Learning with Videos: Combining Offline Observations with Interaction by Karl Schmeckpeper et al
11-12-2020	Biomedical Named Entity Recognition at Scale by Veysel Kocaman et al
11-12-2020	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges by Moloud Abdar et al
11-10-2020	Towards Semi-Supervised Semantics Understanding from Speech by Cheng-I Lai et al
11-11-2020	Deep learning and hand-crafted features for virus image classification by Loris Nanni et al
11-12-2020	Fit2Form: 3D Generative Model for Robot Gripper Form Design by Huy Ha et al
11-12-2020	Automated Model Compression by Jointly Applied Pruning and Quantization by Wenting Tang et al
11-12-2020	Image Anomaly Detection by Aggregating Deep Pyramidal Representations by Pankaj Mishra et al
11-12-2020	Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification by Robert Adragna et al
11-12-2020	A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments by Manish Bhattarai et al
11-12-2020	Analyzing Neural Discourse Coherence Models by Youmna Farag et al
11-12-2020	Towards A Sentiment Analyzer for Low-Resource Languages by Dian Indriani et al
11-13-2020	Continual Learning with Deep Artificial Neurons by Blake Camp et al
11-12-2020	3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators by Hsiao-Yu Fish Tung et al
11-11-2020	Robust Reinforcement Learning for General Video Game Playing by Chengpeng Hu et al
11-12-2020	Steady State Analysis of Episodic Reinforcement Learning by Huang Bojun
11-13-2020	SALAD: Self-Assessment Learning for Action Detection by Guillaume Vaudaux-Ruth et al
11-11-2020	Reinforcement Learning with Time-dependent Goals for Robotic Musicians by Thilo Fryen et al
11-11-2020	Hurricane Forecasting: A Novel Multimodal Machine Learning Framework by Léonard Boussioux et al
11-11-2020	Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective by Bao-Gang Hu et al
11-12-2020	Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot by Jonas Gonzalez-Billandon et al
11-12-2020	Learning Latent Representations to Influence Multi-Agent Interaction by Annie Xie et al
11-12-2020	Hierarchical reinforcement learning for efficient exploration and transfer by Lorenzo Steccanella et al
11-12-2020	Quantum algorithms for spectral sums by Alessandro Luongo et al
11-11-2020	Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks by Pierre Aumjaud et al
11-10-2020	Towards a Better Global Loss Landscape of GANs by Ruoyu Sun et al
11-11-2020	Rediscovering alignment relations with Graph Convolutional Networks by Pierre Monnin et al
11-13-2020	Transductive Zero-Shot Learning using Cross-Modal CycleGAN by Patrick Bordes et al
11-13-2020	Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints by Jiajun Zhang et al
11-13-2020	Wisdom of the Ensemble: Improving Consistency of Deep Learning Models by Lijing Wang et al
11-11-2020	Audrey: A Personalized Open-Domain Conversational Bot by Chung Hoon Hong et al
11-11-2020	LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing by Zhenzhi Wu et al
11-10-2020	Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming by Zhenpeng Zhou et al
11-11-2020	Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning by Sivanathan Kandhasamy et al
11-11-2020	Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects by Michael Danielczuk et al
11-10-2020	Privacy Preservation in Federated Learning: Insights from the GDPR Perspective by Nguyen Truong et al
11-11-2020	Monitoring and Diagnosability of Perception Systems by Pasquale Antonante et al
11-12-2020	A Survey on Recent Advances in Sequence Labeling from Deep Learning Models by Zhiyong He et al
11-10-2020	Differentially Private Synthetic Data: Applied Evaluations and Enhancements by Lucas Rosenblatt et al
11-13-2020	Robotic self-representation improves manipulation skills and transfer learning by Phuong D. H. Nguyen et al
11-13-2020	DeepMind Lab2D by Charles Beattie et al
11-13-2020	Learning to Drop: Robust Graph Neural Network via Topological Denoising by Dongsheng Luo et al
11-10-2020	To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding? by Quynh Do et al
11-11-2020	Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning by Jun Jin et al
11-10-2020	Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging by Jan-Hinrich Nölke et al
11-10-2020	Generalized LSTM-based End-to-End Text-Independent Speaker Verification by Soroosh Tayebi Arasteh
11-12-2020	Griddly: A platform for AI research in games by Chris Bamford et al
11-10-2020	Human-centric Spatio-Temporal Video Grounding With Visual Transformers by Zongheng Tang et al
11-11-2020	Semi-Structured Deep Piecewise Exponential Models by Philipp Kopper et al
11-13-2020	Deep learning-based classification of fine hand movements from low frequency EEG by Giulia Bressan et al
11-13-2020	A differential evolution-based optimization tool for interplanetary transfer trajectory design by Mingcheng Zuo et al
11-12-2020	Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems by Mustafa Abdallah et al
11-12-2020	Turning Transport Data to Comply with EU Standards while Enabling a Multimodal Transport Knowledge Graph by Mario Scrocca et al
11-11-2020	Improving Multimodal Accuracy Through Modality Pre-training and Attention by Aya Abdelsalam Ismail et al
11-13-2020	Learning Scalable Self-Driving Policies for Generic Traffic Scenarios by Peide Cai et al
11-11-2020	Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems by Alexey Averkin et al
11-11-2020	Accounting for Human Learning when Inferring Human Preferences by Harry Giles et al
11-11-2020	Sim-To-Real Transfer for Miniature Autonomous Car Racing by Yeong-Jia Roger Chu et al
11-12-2020	Empirical Performance Analysis of Conventional Deep Learning Models for Recognition of Objects in 2-D Images by Sangeeta Satish Rao et al
11-11-2020	Ensuring Actionable Recourse via Adversarial Training by Alexis Ross et al
11-11-2020	EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events by Stefanos Antaris et al
11-11-2020	Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation by Stefanos Antaris et al
11-12-2020	Deconstructing word embedding algorithms by Kian Kenyon-Dean et al
11-13-2020	Improving Offline Contextual Bandits with Distributional Robustness by Otmane Sakhi et al
11-10-2020	A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network by Muhammad Mohsin Kabir et al
11-13-2020	Learning Predictive Models for Ergonomic Control of Prosthetic Devices by Geoffrey Clark et al
11-10-2020	Detecting Social Media Manipulation in Low-Resource Languages by Samar Haider et al
11-13-2020	Enabling the Sense of Self in a Dual-Arm Robot by Ali AlQallaf et al
11-12-2020	Quality4.0 -- Transparent product quality supervision in the age of Industry 4.0 by Jens Brandenburger et al
11-12-2020	Heterogeneous Data-Aware Federated Learning by Lixuan Yang et al
11-13-2020	High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding by Hannah Marienwald et al
11-12-2020	A Knowledge Representation Approach to Automated Mathematical Modelling by Bahadorreza Ofoghi et al
11-12-2020	Realization of Stochastic Neural Networks and Its Potential Applications by S. Rahimi Kari
11-11-2020	VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions by Stefanos Antaris et al
11-11-2020	Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach by Jintao Ke et al
11-12-2020	Multi-View Dynamic Heterogeneous Information Network Embedding by Zhenghao Zhang et al
11-10-2020	Perturbation-based exploration methods in deep reinforcement learning by Sneha Aenugu
11-13-2020	Heterogeneous Graph Collaborative Filtering by Zekun Li et al
11-12-2020	Dependency-based Anomaly Detection: Framework, Methods and Benchmark by Sha Lu et al
11-12-2020	Performance of Bounded-Rational Agents With the Ability to Self-Modify by Jakub Tětek et al
11-10-2020	Generation of Human-aware Navigation Maps using Graph Neural Networks by Daniel Rodriguez-Criado et al
11-10-2020	Energy consumption forecasting using a stacked nonparametric Bayesian approach by Dilusha Weeraddana et al
11-10-2020	Expressiveness of Neural Networks Having Width Equal or Below the Input Dimension by Hans-Peter Beise et al
11-10-2020	An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control by Kun Wang et al
11-12-2020	Focal points and their implications for M\obius Transforms and Dempster-Shafer Theory by Maxime Chaveroche et al
11-11-2020	Accelerating Grasp Exploration by Leveraging Learned Priors by Han Yu Li et al
11-10-2020	What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes by Herman Yau et al
11-10-2020	Self-supervised Graph Representation Learning via Bootstrapping by Feihu Che et al
11-11-2020	TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction by Hao Xue et al
11-10-2020	Model-based Reinforcement Learning from Signal Temporal Logic Specifications by Parv Kapoor et al
11-10-2020	Relation-weighted Link Prediction for Disease Gene Identification by Srivamshi Pittala et al
11-12-2020	Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies by Jonas Andrulis et al
11-10-2020	Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences by Bowen Baker
11-12-2020	Active Reinforcement Learning: Observing Rewards at a Cost by David Krueger et al
11-12-2020	Attitude and Thrust Strategies for Fully-Actuated Multirotors: The Fast-Track to Real-World Applications by Azarakhsh Keipour et al
11-10-2020	Discrete solution pools and noise-contrastive estimation for predict-and-optimize by Maxime Mulamba et al
11-10-2020	On Estimating the Training Cost of Conversational Recommendation Systems by Stefanos Antaris et al
11-11-2020	J-Recs: Principled and Scalable Recommendation Justification by Namyong Park et al
11-10-2020	Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion by Yasas Senarath et al
11-10-2020	Building an Automated and Self-Aware Anomaly Detection System by Sayan Chakraborty et al
11-10-2020	Two-Sided Fairness in Non-Personalised Recommendations by Aadi Swadipto Mondal et al
11-10-2020	Safety Verification of Neural Network Controlled Systems by Arthur Clavière et al
11-10-2020	Untangling Dense Knots by Learning Task-Relevant Keypoints by Jennifer Grannen et al
11-10-2020	Estimating Risk-Adjusted Hospital Performance by Eva van Weenen et al