2020.7.27 AI papers

 

07-22-2020

Privacy-preserving Artificial Intelligence Techniques in Biomedicine
by Reihaneh Torkzadehmahani et al

07-21-2020

Interpolating GANs to Scaffold Autotelic Creativity
by Ziv Epstein et al

07-23-2020

Bridging the Imitation Gap by Adaptive Insubordination
by Luca Weihs et al

07-22-2020

Analogical Reasoning for Visually Grounded Language Acquisition
by Bo Wu et al

07-22-2020

Learning User-Preferred Mappings for Intuitive Robot Control
by Mengxi Li et al

07-23-2020

Psychological, Computational and Robotic Models of Time Perception
by Hamit Basgol et al

07-23-2020

PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
by Alexander K. Lew et al

07-24-2020

Artificial Intelligence in the Creative Industries: A Review
by Nantheera Anantrasirichai et al

07-22-2020

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
by The Anh Han et al

07-22-2020

Improving Competence for Reliable Autonomy
by Connor Basich et al

07-22-2020

Discovering Traveling Companions using Autoencoders
by Xiaochang Li et al

07-24-2020

Distributional Reinforcement Learning with Maximum Mean Discrepancy
by Thanh Tang Nguyen et al

07-24-2020

MurTree: Optimal Classification Trees via Dynamic Programming and Search
by Emir Demirović et al

07-21-2020

Explainable Rumor Detection using Inter and Intra-feature Attention Networks
by Mingxuan Chen et al

07-23-2020

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
by Youngsung Kim et al

07-21-2020

IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
by Anirudh Anil Ojha et al

07-23-2020

Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
by Eric Chu et al

07-24-2020

Impact of Medical Data Imprecision on Learning Results
by Mei Wang et al

07-23-2020

The societal and ethical relevance of computational creativity
by Michele Loi et al

07-21-2020

Predicting job-hopping likelihood using answers to open-ended interview questions
by Madhura Jayaratne et al

07-23-2020

Learning Differentiable Programs with Admissible Neural Heuristics
by Ameesh Shah et al

07-22-2020

Adaptable and Verifiable BDI Reasoning
by Peter Stringer et al

07-21-2020

Deep vs. Deep Bayesian: Reinforcement Learning on a Multi-Robot Competitive Experiment
by Jingyi Huang et al

07-21-2020

IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
by Vipul Singhal et al

07-22-2020

Regulating human control over autonomous systems
by Mikolaj firlej et al

07-21-2020

Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores
by Muhammad Khalifa et al

07-24-2020

A Survey on Graph Neural Networks for Knowledge Graph Completion
by Siddhant Arora

07-21-2020

The Two-Armed Balance Game: Probability, Random Strategy and Dishonesty
by Fangqi Li

07-24-2020

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
by Shengpu Tang et al

07-22-2020

Exploratory Experiments on Programming Autonomous Robots in Jadescript
by Eleonora Iotti et al

07-21-2020

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
by Catarina Moreira et al

07-24-2020

Predictive Information Accelerates Learning in RL
by Kuang-Huei Lee et al

07-21-2020

PackIt: A Virtual Environment for Geometric Planning
by Ankit Goyal et al

07-21-2020

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
by Teng Liu et al

07-23-2020

Graph integration of structured, semistructured and unstructured data for data journalism
by Oana Balalau et al

07-23-2020

Value-Decomposition Multi-Agent Actor-Critics
by Jianyu Su et al

07-24-2020

The foundations of cost-sensitive causal classification
by Wouter Verbeke et al

07-21-2020

Exploiting No-Regret Algorithms in System Design
by Le Cong Dinh et al

07-23-2020

Context-Aware Attentive Knowledge Tracing
by Aritra Ghosh et al

07-24-2020

Learning the Solution Manifold in Optimization and Its Application in Motion Planning
by Takayuki Osa

07-24-2020

Model Checkers Are Cool: How to Model Check Voting Protocols in Uppaal
by Wojciech Jamroga et al

07-23-2020

COVID-19 Remote Patient Monitoring: Social Impact of AI
by Ashlesha Nesarikar et al

07-24-2020

Machine Learning Explanations to Prevent Overtrust in Fake News Detection
by Sina Mohseni et al

07-21-2020

Sistema experto para el diagn\ostico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, ma\iz, pepino y frijol
by Ing. Yosvany Medina Carbó et al

07-22-2020

A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions
by Wendy K. Tam Cho et al

07-22-2020

Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study
by Simón C. Smith et al

07-22-2020

Abstract Interpretation in Formal Argumentation: with a Galois Connection for Abstract Dialectical Frameworks and May-Must Argumentation (First Report)
by Ryuta Arisaka et al

07-24-2020

Towards Automated Discovery of Geometrical Theorems in GeoGebra
by Zoltán Kovács et al

 
Craig Smith