2021.11.22 AI papers

11-18-2021	Hybrid Super Intelligence and Polymetric Analysis by Vladislav Dorofeev et al
11-17-2021	Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns by Qinghua Lu et al
11-19-2021	Expert-Guided Symmetry Detection in Markov Decision Processes by Giorgio Angelotti et al
11-16-2021	Literature-Augmented Clinical Outcome Prediction by Aakanksha Naik et al
11-17-2021	DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation by Zhenxing Zhang et al
11-16-2021	A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories by Arijit Dasgupta et al
11-17-2021	Exploring Student Representation For Neural Cognitive Diagnosis by Hengyao Bao et al
11-16-2021	Switching Recurrent Kalman Networks by Giao Nguyen-Quynh et al
11-19-2021	Graph Neural Networks with Feature and Structure Aware Random Walk by Wei Zhuo et al
11-19-2021	A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling by Eustache Diemert et al
11-18-2021	Building a Question Answering System for the Manufacturing Domain by Liu Xingguang et al
11-16-2021	Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing by Abhilash Mishra et al
11-18-2021	The Prominence of Artificial Intelligence in COVID-19 by MD Abdullah Al Nasim et al
11-16-2021	Compressive Features in Offline Reinforcement Learning for Recommender Systems by Hung Nguyen et al
11-19-2021	Meta Adversarial Perturbations by Chia-Hung Yuan et al
11-19-2021	Grounded Situation Recognition with Transformers by Junhyeong Cho et al
11-18-2021	Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning by Christopher Hoang et al
11-19-2021	DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions by Lin Ni et al
11-19-2021	Medical Visual Question Answering: A Survey by Zhihong Lin et al
11-16-2021	A Normative and Biologically Plausible Algorithm for Independent Component Analysis by Yanis Bahroun et al
11-18-2021	Assisted Robust Reward Design by Jerry Zhi-Yang He et al
11-19-2021	Solving Visual Analogies Using Neural Algorithmic Reasoning by Atharv Sonwane et al
11-17-2021	MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System by Rhys Compton et al
11-17-2021	Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality by Markus Freitag et al
11-19-2021	Neural Image Beauty Predictor Based on Bradley-Terry Model by Shiyu Li et al
11-17-2021	IV-GNN : Interval Valued Data Handling Using Graph Neural Network by Sucheta Dawn et al
11-17-2021	Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data by Rui Hu et al
11-16-2021	Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation by William McNally et al
11-16-2021	On Effective Scheduling of Model-based Reinforcement Learning by Hang Lai et al
11-19-2021	DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion by Renrui Zhang et al
11-16-2021	Neural Class Expression Synthesis by N'Dah Jean Kouagou et al
11-17-2021	Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence by Xiang Bai et al
11-18-2021	Visual Goal-Directed Meta-Learning with Contextual Planning Networks by Corban G. Rivera et al
11-18-2021	Explaining GNN over Evolving Graphs using Information Flow by Yazheng Liu et al
11-18-2021	A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry by Dimitrios Miltiadou et al
11-17-2021	Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance by Yanqiu Wu et al
11-18-2021	To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP by Gözde Gül Şahin
11-18-2021	Improving Transferability of Representations via Augmentation-Aware Self-Supervision by Hankook Lee et al
11-16-2021	Words of Wisdom: Representational Harms in Learning From AI Communication by Amanda Buddemeyer et al
11-19-2021	Unsupervised Visual Time-Series Representation Learning and Clustering by Gaurangi Anand et al
11-17-2021	Docking-based Virtual Screening with Multi-Task Learning by Zijing Liu et al
11-17-2021	Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines by Xuejing Zheng et al
11-17-2021	GFlowNet Foundations by Yoshua Bengio et al
11-18-2021	Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control by Wataru Okamoto et al
11-18-2021	A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain by Dimitrios Miltiadou et al
11-17-2021	A Graph-based Imputation Method for Sparse Medical Records by Ramon Vinas et al
11-17-2021	Network Generation with Differential Privacy by Xu Zheng et al
11-16-2021	Accounting for Gaussian Process Imprecision in Bayesian Optimization by Julian Rodemann et al
11-19-2021	Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning by Tong Sang et al
11-16-2021	A first approach to closeness distributions by Jesus Cerquides
11-16-2021	SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition by Hangyu Mao et al
11-19-2021	Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice by Alberto Schiabel et al
11-16-2021	Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition by Domenick Poster et al
11-17-2021	The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions by Steve Alpern
11-19-2021	YMIR: A Rapid Data-centric Development Platform for Vision Applications by Phoenix X. Huang et al
11-16-2021	Automatically detecting anomalous exoplanet transits by Christoph J. Hönes et al
11-17-2021	Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation Extraction by Lars Klöser et al
11-16-2021	Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach by Max Würfel et al
11-18-2021	Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes by V. Vakil et al
11-18-2021	Constraint-based Diversification of JOP Gadgets by Rodothea Myrsini Tsoupidi et al
11-16-2021	INTERN: A New Learning Paradigm Towards General Vision by Jing Shao et al
11-18-2021	A Survey of Generalisation in Deep Reinforcement Learning by Robert Kirk et al
11-16-2021	Machine Learning and Ensemble Approach Onto Predicting Heart Disease by Aaditya Surya
11-16-2021	HADFL: Heterogeneity-aware Decentralized Federated Learning Framework by Jing Cao et al
11-17-2021	Acquisition of Chess Knowledge in AlphaZero by Thomas McGrath et al
11-16-2021	ARKitScenes -- A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data by Gilad Baruch et al
11-17-2021	Sustainable Artificial Intelligence through Continual Learning by Andrea Cossu et al
11-16-2021	Online Self-Evolving Anomaly Detection in Cloud Computing Environments by Haili Wang et al
11-19-2021	Generalized Decision Transformer for Offline Hindsight Information Matching by Hiroki Furuta et al
11-18-2021	CLMB: deep contrastive learning for robust metagenomic binning by Pengfei Zhang et al
11-16-2021	Solving Probability and Statistics Problems by Program Synthesis by Leonard Tang et al
11-17-2021	Learning to Compose Visual Relations by Nan Liu et al
11-17-2021	Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach by Erik Vargo et al
11-17-2021	Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application by Yulan Hu et al
11-16-2021	CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description by Mustafizur Shahid et al
11-18-2021	DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior by Manzoor Hussain et al
11-16-2021	Point detection through multi-instance deep heatmap regression for sutures in endoscopy by Lalith Sharan et al
11-16-2021	Interpretable and Fair Boolean Rule Sets via Column Generation by Connor Lawless et al
11-16-2021	PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding by André Ofner et al
11-16-2021	Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning by Samayan Bhattacharya et al
11-16-2021	An Empirical Study of Finding Similar Exercises by Tongwen Huang et al
11-17-2021	Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach by Jonas Schulz et al
11-17-2021	SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness by Jongheon Jeong et al
11-16-2021	Causal policy ranking by Daniel McNamee et al
11-16-2021	Improving the robustness and accuracy of biomedical language models through adversarial training by Milad Moradi et al
11-16-2021	SMACE: A New Method for the Interpretability of Composite Decision Systems by Gianluigi Lopardo et al
11-16-2021	Self-encoding Barnacle Mating Optimizer Algorithm for Manpower Scheduling in Flow Shop by Shuyun Luo et al
11-19-2021	Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing by Bing Zhai et al
11-16-2021	STAMP 4 NLP -- An Agile Framework for Rapid Quality-Driven NLP Applications Development by Philipp Kohl et al
11-18-2021	Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates by Nicholas Kantack
11-16-2021	Language bias in Visual Question Answering: A Survey and Taxonomy by Desen Yuan
11-16-2021	Uncertainty-Aware Multiple Instance Learning fromLarge-Scale Long Time Series Data by Yuansheng Zhu et al
11-16-2021	Learning Scene Dynamics from Point Cloud Sequences by Pan He et al
11-17-2021	Learning to Align Sequential Actions in the Wild by Weizhe Liu et al
11-17-2021	Compositional Transformers for Scene Generation by Drew A. Hudson et al
11-18-2021	The Effects of Learning in Morphologically Evolving Robot Systems by Jie Luo et al
11-18-2021	Beyond NDCG: behavioral testing of recommender systems with RecList by Patrick John Chia et al
11-19-2021	RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation by Chenglin Li et al
11-18-2021	Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance by João Pereira et al
11-17-2021	Secure Federated Learning for Residential Short Term Load Forecasting by Joaquin Delgado Fernandez et al
11-18-2021	COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression by Sian Jin et al
11-17-2021	Self-Learning Tuning for Post-Silicon Validation by Peter Domanski et al
11-19-2021	An Activity-Based Model of Transport Demand for Greater Melbourne by Alan Both et al
11-19-2021	The Joy of Neural Painting by Ernesto Diaz-Aviles et al
11-19-2021	A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System by Tiago Dias et al
11-19-2021	Adversarial Deep Learning for Online Resource Allocation by Bingqian Du et al
11-16-2021	From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses by Aviral Chharia et al
11-16-2021	Towards Generating Real-World Time Series Data by Hengzhi Pei et al