2020.8.3 AI papers

 

07-28-2020

Ethics of Artificial Intelligence in Surgery
by Frank Rudzicz et al

07-29-2020

NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets
by Victor Dibia

07-28-2020

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
by Mehdi Ali et al

07-29-2020

The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems
by Krzysztof Kutt et al

07-30-2020

Photon: A Robust Cross-Domain Text-to-SQL System
by Jichuan Zeng et al

07-29-2020

Dynamic Federated Learning Model for Identifying Adversarial Clients
by Nuria Rodríguez-Barroso et al

07-28-2020

On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
by Xuan Zhang et al

07-30-2020

Data-efficient Hindsight Off-policy Option Learning
by Markus Wulfmeier et al

07-28-2020

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text
by Xinzhi Wang et al

07-29-2020

Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
by Lars Hertel et al

07-29-2020

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics
by Guido Schillaci et al

07-29-2020

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
by Guangyin Jin et al

07-30-2020

Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games
by Andrés Villa et al

07-28-2020

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
by Zhi Wang et al

07-28-2020

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
by Masashi Okada et al

07-28-2020

A Commentary on the Unsupervised Learning of Disentangled Representations
by Francesco Locatello et al

07-30-2020

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
by Prasoon Goyal et al

07-29-2020

Computing Optimal Decision Sets with SAT
by Jinqiang Yu et al

07-28-2020

The Tractability of SHAP-scores over Deterministic and Decomposable Boolean Circuits
by Marcelo Arenas et al

07-29-2020

Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents
by Vijay Menon et al

07-30-2020

Fairness-Aware Online Personalization
by G Roshan Lal et al

07-30-2020

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
by Cristina Garbacea et al

07-28-2020

Unsupervised Learning of Particle Image Velocimetry
by Mingrui Zhang et al

07-30-2020

New approach to MPI program execution time prediction
by A. Chupakhin et al

07-29-2020

Connecting actuarial judgment to probabilistic learning techniques with graph theory
by Roland R. Ramsahai

07-28-2020

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
by Gabriele Farina et al

07-28-2020

Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations
by Sashank Tirumala et al

07-28-2020

Formal Fields: A Framework to Automate Code Generation Across Domains
by Jacques Basaldúa

07-29-2020

Bayesian Inference by Symbolic Model Checking
by Bahare Salmani et al

07-30-2020

On the Nature and Types of Anomalies: A Review
by Ralph Foorthuis

07-28-2020

The Minimum Description Length Principle for Pattern Mining: A Survey
by Esther Galbrun

07-30-2020

Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
by Maxime Petit et al

07-30-2020

Neural Language Generation: Formulation, Methods, and Evaluation
by Cristina Garbacea et al

07-30-2020

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
by Quoc-Viet Pham et al

07-28-2020

On Accuracy and Coherence with Infinite Opinion Sets
by Mikayla Kelley

07-30-2020

Bounded-Memory Criteria for Streams with Application Time
by Simon Schiff et al

07-29-2020

Improving probability selecting based weights for Satisfiability Problem
by Huimin Fu et al

07-29-2020

A Development Cycle for Automated Self-Exploration of Robot Behaviors
by Thomas M. Roehr et al

07-29-2020

Learning enables adaptation in cooperation for multi-player stochastic games
by Feng Huang et al

07-31-2020

COLD: Towards the Next Generation of Pre-Ranking System
by Zhe Wang et al

07-30-2020

Learning what they think vs. learning what they do: The micro-foundations of vicarious learning
by Sanghyun Park et al

07-29-2020

Bayesian preference elicitation for multiobjective combinatorial optimization
by Nadjet Bourdache et al

07-30-2020

Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
by Pablo Barros et al

07-30-2020

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
by Zuxin Liu et al

07-30-2020

Improving Multi-Agent Cooperation using Theory of Mind
by Terence X. Lim et al

07-28-2020

Anomaly detection in Context-aware Feature Models
by Jacopo Mauro

07-31-2020

The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
by Aniek F. Markus et al

07-31-2020

Genetic Improvement @ ICSE 2020
by William B. Langdon et al

07-31-2020

A Compositional Model of Consciousness based on Consciousness-Only
by Camilo Miguel Signorelli et al

07-29-2020

Low Dimensional State Representation Learning with Reward-shaped Priors
by Nicolò Botteghi et al

07-30-2020

Social Choice Optimization
by Andrés García-Camino

07-31-2020

Imitative Planning using Conditional Normalizing Flow
by Shubhankar Agarwal et al

07-31-2020

A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
by Syed Hasib Akhter Faruqui et al

07-31-2020

Lookahead and Hybrid Sample Allocation Procedures for Multiple Attribute Selection Decisions
by Jeffrey W. Herrmann et al

07-31-2020

Near-Optimal Reactive Synthesis Incorporating Runtime Information
by Suda Bharadwaj et al

07-31-2020

Predictability and Fairness in Social Sensing
by Ramen Ghosh et al

07-28-2020

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
by Shailesh Tripathi et al

 
Craig Smith