2019.10.20 AI papers

 

10-16-2019

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
by Ziyang Tang et al

10-15-2019

Solving Rubiks Cube with a Robot Hand
by OpenAI et al

10-15-2019

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
by Tianxing He et al

10-17-2019

MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming
by Yura Perov et al

10-15-2019

Challenges of Human-Aware AI Systems
by Subbarao Kambhampati

10-17-2019

Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change
by Shiwali Mohan

10-15-2019

Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior
by Guillaume Escamocher et al

10-15-2019

Explainable Semantic Mapping for First Responders
by Jean Oh et al

10-15-2019

Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
by Jiewen Wu et al

10-15-2019

Negatively Correlated Search as a Parallel Exploration Search Strategy
by Peng Yang et al

10-17-2019

Exploring Semi-Automatic Map Labeling
by Fabian Klute et al

10-16-2019

MLQA: Evaluating Cross-lingual Extractive Question Answering
by Patrick Lewis et al

10-16-2019

Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
by Robert Walecki et al

10-16-2019

On the Relation between Weak Completion Semantics and Answer Set Semantics
by Emmanuelle-Anna Dietz Saldanha et al

10-15-2019

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
by Rogerio Bonatti et al

10-16-2019

A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications
by Arnaud Malapert et al

10-15-2019

How a minimal learning agent can infer the existence of unobserved variables in a complex environment
by Katja Ried et al

10-16-2019

Soft Actor-Critic for Discrete Action Settings
by Petros Christodoulou

10-15-2019

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
by Chen-Yu Wei et al

10-16-2019

Learning from My Partners Actions: Roles in Decentralized Robot Teams
by Dylan P. Losey et al

10-15-2019

Probability Logic
by Niki Pfeifer

10-16-2019

Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making
by Mayank Agrawal et al

10-16-2019

Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
by Adrien Dufraux et al

10-17-2019

MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report
by Sagar Verma et al

10-15-2019

Counterfactual diagnosis
by Jonathan G. Richens et al

10-16-2019

Explainable AI for Intelligence Augmentation in Multi-Domain Operations
by Alun Preece et al

10-18-2019

Towards Computing Inferences from English News Headlines
by Elizabeth Jasmi George et al

10-15-2019

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
by Xujiang Zhao et al

10-17-2019

Reflecting After Learning for Understanding
by Lee Martie et al

10-15-2019

Efficiently Embedding Dynamic Knowledge Graphs
by Tianxing Wu et al

10-16-2019

Conditional Driving from Natural Language Instructions
by Junha Roh et al

10-17-2019

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization
by Huazhe Xu et al

10-15-2019

The NAI Suite -- Drafting and Reasoning over Legal Texts
by Tomer Libal et al

10-17-2019

Planning for Goal-Oriented Dialogue Systems
by Christian Muise et al

10-15-2019

Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
by Lars Buesing et al

10-15-2019

Topological Navigation Graph
by Povilas Daniusis et al

10-17-2019

RTFM: Generalising to Novel Environment Dynamics via Reading
by Victor Zhong et al

10-17-2019

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion
by Jiaming Shen et al

10-18-2019

Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes
by Aaron W. Li et al

10-18-2019

Unsupervised Context Rewriting for Open Domain Conversation
by Kun Zhou et al

10-16-2019

Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
by Ozsel Kilinc et al

10-16-2019

Contextual Joint Factor Acoustic Embeddings
by Yanpei Shi et al

10-18-2019

A flexible integer linear programming formulation for scheduling clinician on-call service in hospitals
by David Landsman et al

10-15-2019

Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding
by Sergey Mileiko et al

10-16-2019

Optimising Individual-Treatment-Effect Using Bandits
by Jeroen Berrevoets et al

10-16-2019

Conditional Learning of Fair Representations
by Han Zhao et al

 
Craig Smith