2020.02.02 AI papers

 

01-29-2020

Bayesian Reasoning with Deep-Learned Knowledge
by Jakob Knollmüller et al

01-30-2020

STRIPS Action Discovery
by Alejandro Suárez-Hernández et al

01-29-2020

Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
by Nihar Bendre et al

01-29-2020

MEMO: A Deep Network for Flexible Combination of Episodic Memories
by Andrea Banino et al

01-28-2020

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
by Benjamin Patrick Evans et al

01-29-2020

On Constraint Definability in Tractable Probabilistic Models
by Ioannis Papantonis et al

01-29-2020

Proceedings of Symposium on Data Mining Applications 2014
by Basit Qureshi et al

01-30-2020

Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method
by Thomas Chaboud et al

01-29-2020

The Tensor Brain: Semantic Decoding for Perception and Memory
by Volker Tresp et al

01-28-2020

Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
by Márcio Silva et al

01-29-2020

Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
by Ioannis Papantonis et al

01-30-2020

Black-Box Saliency Map Generation Using Bayesian Optimisation
by Mamuku Mokuwe et al

01-29-2020

Fictitious Play Outperforms Counterfactual Regret Minimization
by Sam Ganzfried

01-28-2020

Bounded Incentives in Manipulating the Probabilistic Serial Rule
by Zihe Wang et al

01-29-2020

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
by Konstantin D. Pandl et al

01-29-2020

Towards Multi-perspective conformance checking with fuzzy sets
by Sicui Zhang et al

01-28-2020

Towards Learning Multi-agent Negotiations via Self-Play
by Yichuan Charlie Tang

01-28-2020

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
by Xiaotong Gu et al

01-29-2020

Bayesian Neural Architecture Search using A Training-Free Performance Metric
by Andrés Camero et al

01-30-2020

Scalable Psychological Momentum Forecasting in Esports
by Alfonso White et al

01-30-2020

Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks
by Victor-Alexandru Darvariu et al

01-29-2020

Stochastic L-system Inference from Multiple String Sequence Inputs
by Jason Bernard et al

01-29-2020

AMR Similarity Metrics from Principles
by Juri Opitz et al

01-29-2020

Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
by Ming Yin et al

01-30-2020

Introducing the diagrammatic mode
by Tuomo Hiippala et al

01-28-2020

Causal query in observational data with hidden variables
by Debo Cheng et al

01-28-2020

Distal Explanations for Explainable Reinforcement Learning Agents
by Prashan Madumal et al

01-28-2020

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
by Mehdi Ali et al

01-30-2020

Fase-AL -- Adaptation of Fast Adaptive Stacking of Ensembles for Supporting Active Learning
by Agustín Alejandro Ortiz-Díaz et al

01-30-2020

HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection
by Mischa Schmidt et al

01-28-2020

Parameter Sharing in Coagent Networks
by Modjtaba Shokrian Zini

 
Craig Smith