2020.5.25 AI papers

 

05-20-2020

Adversarial Canonical Correlation Analysis
by Benjamin Dutton

05-20-2020

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
by Arash Rahnama et al

05-20-2020

Interpretable and Accurate Fine-grained Recognition via Region Grouping
by Zixuan Huang et al

05-20-2020

MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert
by Shuke Peng et al

05-20-2020

A quantum procedure for map generation
by James R. Wootton

05-20-2020

Automated Question Answer medical model based on Deep Learning Technology
by Abdelrahman Abdallah et al

05-21-2020

A Neural Network Looks at Leonardos(?) Salvator Mundi
by Steven J. Frank et al

05-20-2020

Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation
by Jungseock Joo et al

05-20-2020

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
by Hui-Po Wang et al

05-19-2020

Privileged Information Dropout in Reinforcement Learning
by Pierre-Alexandre Kamienny et al

05-20-2020

Creative Artificial Intelligence -- Algorithms vs. humans in an incentivized writing competition
by Nils Köbis et al

05-19-2020

Mirror Descent Policy Optimization
by Manan Tomar et al

05-21-2020

Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making
by Harini Suresh et al

05-20-2020

Risk of Training Diagnostic Algorithms on Data with Demographic Bias
by Samaneh Abbasi-Sureshjani et al

05-20-2020

A reinforcement learning based decision support system in textile manufacturing process
by Zhenglei He et al

05-21-2020

Novel Policy Seeking with Constrained Optimization
by Hao Sun et al

05-20-2020

An Analysis of Regularized Approaches for Constrained Machine Learning
by Michele Lombardi et al

05-20-2020

Fair Outlier Detection
by Deepak P et al

05-19-2020

Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
by Zhenhui Ye et al

05-20-2020

Hidden Markov Models and their Application for Predicting Failure Events
by Paul Hofmann et al

05-22-2020

Driver Identification through Stochastic Multi-State Car-Following Modeling
by Donghao Xu et al

05-19-2020

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
by Yueh-Hua Wu et al

05-19-2020

A cognitive based Intrusion detection system
by Siamak Parhizkari et al

05-19-2020

Unlocking New York City Crime Insights using Relational Database Embeddings
by Apoorva Nitsure et al

05-19-2020

Safe Learning for Near Optimal Scheduling
by Gilles Geeraerts et al

05-19-2020

Embeddings as representation for symbolic music
by Sebastian Garcia-Valencia

05-19-2020

A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
by Sindhu Padakandla

05-22-2020

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
by Natalia Vesselinova et al

05-19-2020

Controlled Language and Baby Turing Test for General Conversational Intelligence
by Anton Kolonin

05-20-2020

Causality, Responsibility and Blame in Team Plans
by Natasha Alechina et al

05-19-2020

Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey
by Andrea Borghesi et al

05-20-2020

MDPs with Unawareness in Robotics
by Nan Rong et al

05-19-2020

Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting
by Hong-Bin Liu et al

05-19-2020

Adapting a Kidney Exchange Algorithm to Align with Human Values
by Rachel Freedman et al

05-22-2020

DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models
by Yania Molina Souto et al

05-20-2020

Combining Experts Causal Judgments
by Dalal Alrajeh et al

05-19-2020

Learning and Reasoning for Robot Dialog and Navigation Tasks
by Keting Lu et al

05-19-2020

The Second Type of Uncertainty in Monte Carlo Tree Search
by Thomas M Moerland et al

05-22-2020

Reinforcement learning with human advice. A survey
by Anis Najar et al

05-22-2020

microPhantom: Playing microRTS under uncertainty and chaos
by Florian Richoux

05-22-2020

Intent Mining from past conversations for Conversational Agent
by Ajay Chatterjee et al

05-22-2020

Givenness Hierarchy Theoretic Cognitive Status Filtering
by Poulomi Pal et al

05-19-2020

Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
by Mingxiang Chen et al

05-21-2020

Multi-agent model for risk prediction in surgery
by Bruno Perez et al

05-21-2020

Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot
by Malte Schilling et al

05-22-2020

RUSSE2020: Findings of the First Taxonomy Enrichment Task for the Russian language
by Irina Nikishina et al

05-21-2020

An approach to Beethovens 10th Symphony
by Paula Muñoz-Lago et al

05-19-2020

Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
by Hongyin Luo et al

05-20-2020

Information Acquisition Under Resource Limitations in a Noisy Environment
by Matvey Soloviev et al

05-19-2020

TAIP: an anytime algorithm for allocating student teams to internship programs
by Athina Georgara et al

05-19-2020

An Information-Theoretic Approach for Path Planning in Agents with Computational Constraints
by Daniel T. Larsson et al

05-20-2020

Combining the Causal Judgments of Experts with Possibly Different Focus Areas
by Meir Friedenberg et al

05-20-2020

Monte Carlo Inverse Folding
by Tristan Cazenave et al

05-22-2020

Evaluating Generalisation in General Video Game Playing
by Martin Balla et al

05-22-2020

Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself
by Alexandre Pitti et al

05-21-2020

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
by Michelle A. Lee et al

05-19-2020

VigiFlood: evaluating the impact of a change of perspective on flood vigilance
by Carole Adam

05-20-2020

Attention Patterns Detection using Brain Computer Interfaces
by Felix G. Hamza-Lup et al

05-21-2020

A Group-Theoretic Framework for Knowledge Graph Embedding
by Tong Yang et al

05-21-2020

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks
by Homanga Bharadhwaj et al

 
Craig Smith