2019.08.25 AI papers

 

08-22-2019

The compositionality of neural networks: integrating symbolism and connectionism
by Dieuwke Hupkes et al

08-21-2019

Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System
by Takahiro Kawamura et al

08-21-2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
by Zhiguo Wang et al

08-21-2019

AI and Accessibility: A Discussion of Ethical Considerations
by Meredith Ringel Morris

08-23-2019

Fairness in Deep Learning: A Computational Perspective
by Mengnan Du et al

08-21-2019

Dialog State Tracking with Reinforced Data Augmentation
by Yichun Yin et al

08-22-2019

Reinforcement Learning in Healthcare: A Survey
by Chao Yu et al

08-22-2019

Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAIs gpt2 Transformer Model
by Matthias von Davier

08-23-2019

Interactive Collaborative Exploration using Incomplete Contexts
by Maximilian Felde et al

08-23-2019

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis
by Okyaz Eminaga et al

08-21-2019

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
by Runzhe Yang et al

08-22-2019

Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
by Nathan Kallus et al

08-24-2019

Release Strategies and the Social Impacts of Language Models
by Irene Solaiman et al

08-22-2019

Stackelberg Punishment and Bully-Proofing Autonomous Vehicles
by Matt Cooper et al

08-22-2019

Simulation Model of Two-Robot Cooperation in Common Operating Environment
by V. Ya. Vilisov et al

08-22-2019

SCF2 -- an Argumentation Semantics for Rational Human Judgments on Argument Acceptability: Technical Report
by Marcos Cramer et al

08-22-2019

Intent term selection and refinement in e-commerce queries
by Saurav Manchanda et al

08-25-2019

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
by Xudong Sun et al

08-25-2019

OpenSpiel: A Framework for Reinforcement Learning in Games
by Marc Lanctot et al

08-21-2019

Design Space of Behaviour Planning for Autonomous Driving
by Marko Ilievski et al

08-24-2019

Planning Beyond the Sensing Horizon Using a Learned Context
by Michael Everett et al

08-22-2019

Measuring the Business Value of Recommender Systems
by Dietmar Jannach et al

08-24-2019

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
by Seunghyun Yoon et al

08-22-2019

The many Shapley values for model explanation
by Mukund Sundararajan et al

08-24-2019

A framework for anomaly detection using language modeling, and its applications to finance
by Armineh Nourbakhsh et al

08-22-2019

The double traveling salesman problem with partial last-in-first-out loading constraints
by Jonatas B. C. Chagas et al

08-25-2019

Dynamics-aware Embeddings
by William Whitney et al

08-25-2019

Exploring the Performance of Deep Residual Networks in Crazyhouse Chess
by Sun-Yu Gordon Chi

08-25-2019

LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
by Ziyu Liu et al

08-23-2019

DAST Model: Deciding About Semantic Complexity of a Text
by MohammadReza Besharati et al

08-23-2019

Preventing the Generation of Inconsistent Sets of Classification Rules
by Thiago Zafalon Miranda et al

08-21-2019

Technical Report on Implementing Ranking-Based Semantics in ConArg
by Stafano Bistarelli et al

08-22-2019

DC3 -- A Diagnostic Case Challenge Collection for Clinical Decision Support
by Carsten Eickhoff et al

08-24-2019

A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction
by Tushar Kusnur et al

 
Craig Smith