2020.3.16 AI papers

 

03-11-2020

Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
by Rentao Gu et al

03-12-2020

Model Agnostic Multilevel Explanations
by Karthikeyan Natesan Ramamurthy et al

03-12-2020

Some Experiments on the influence of Problem Hardness in Morphological Development based Learning of Neural Controllers
by M. Naya-Varela et al

03-11-2020

Arbitrary-Oriented Object Detection with Circular Smooth Label
by Xue Yang et al

03-13-2020

Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
by Xinwei Wang et al

03-12-2020

Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization
by Chaochao Chen et al

03-13-2020

Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
by Agnese Chiatti et al

03-12-2020

Efficient Rule Learning with Template Saturation for Knowledge Graph Completion
by Yulong Gu et al

03-10-2020

MQA: Answering the Question via Robotic Manipulation
by Yuhong Deng et al

03-10-2020

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
by Rituraj Kaushik et al

03-13-2020

Accelerating and Improving AlphaZero Using Population Based Training
by Ti-Rong Wu et al

03-13-2020

A Survey of End-to-End Driving: Architectures and Training Methods
by Ardi Tampuu et al

03-11-2020

Research Directions for Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
by Silverio Martínez-Fernández et al

03-11-2020

A Benchmark for Systematic Generalization in Grounded Language Understanding
by Laura Ruis et al

03-11-2020

Rethinking Image Mixture for Unsupervised Visual Representation Learning
by Zhiqiang Shen et al

03-10-2020

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
by Sanmit Narvekar et al

03-12-2020

Option Discovery in the Absence of Rewards with Manifold Analysis
by Amitay Bar et al

03-12-2020

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
by Ajay Mandlekar et al

03-11-2020

Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems
by Nicolas Riesterer et al

03-11-2020

Sentiment Analysis with Contextual Embeddings and Self-Attention
by Katarzyna Biesialska et al

03-10-2020

A Survey of Adversarial Learning on Graphs
by Liang Chen et al

03-10-2020

Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
by Raphael Thiago et al

03-12-2020

Analyzing Visual Representations in Embodied Navigation Tasks
by Erik Wijmans et al

03-10-2020

Ecological Semantics: Programming Environments for Situated Language Understanding
by Ronen Tamari et al

03-11-2020

Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations
by Manolis Peponakis et al

03-10-2020

The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective
by Stephanie Milani et al

03-11-2020

How the Brain might use Division
by Kieran Greer

03-10-2020

Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data
by Yanou Ramon et al

03-11-2020

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
by Stefan Studer et al

03-12-2020

Natural Language Interaction to Facilitate Mental Models of Remote Robots
by Francisco J. Chiyah Garcia et al

03-11-2020

Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments
by Krishan Rana et al

03-11-2020

Magic: the Gathering is as Hard as Arithmetic
by Stella Biderman

03-10-2020

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments
by Stewart Jamieson et al

03-12-2020

Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
by Meghyn Bienvenu et al

03-10-2020

JS-son -- A Lean, Extensible JavaScript Agent Programming Library
by Timotheus Kampik et al

03-11-2020

Convolutional Kernel Networks for Graph-Structured Data
by Dexiong Chen et al

03-11-2020

Learning Compositional Rules via Neural Program Synthesis
by Maxwell I. Nye et al

03-12-2020

The Chefs Hat Simulation Environment for Reinforcement-Learning-Based Agents
by Pablo Barros et al

03-11-2020

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
by Pongpisit Thanasutives et al

03-11-2020

xCos: An Explainable Cosine Metric for Face Verification Task
by Yu-Sheng Lin et al

03-13-2020

Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning
by Jennifer Renoux et al

03-11-2020

Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
by Dominique Beaini et al

03-11-2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
by Yuening Li et al

03-12-2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
by Hui Wang et al

03-12-2020

Action for Better Prediction
by Bernadette Bucher et al

03-12-2020

Invariant Causal Prediction for Block MDPs
by Amy Zhang et al

03-11-2020

Stable variation in multidimensional competition
by Henri Kauhanen

03-13-2020

Sparse Graphical Memory for Robust Planning
by Michael Laskin et al

03-10-2020

ENTMOOT: A Framework for Optimization over Ensemble Tree Models
by Alexander Thebelt et al

03-12-2020

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
by Tong Che et al

03-12-2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
by Massimo Caccia et al

 
Craig Smith