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Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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Papers (including subtopics)

Toddler-Inspired Visual Object Learning NIPS 2018
Teaching Inverse Reinforcement Learners via Features and Demonstrations NIPS 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
e-SNLI: Natural Language Inference with Natural Language Explanations NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NIPS 2018
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NIPS 2018
Approximate Knowledge Compilation by Online Collapsed Importance Sampling NIPS 2018
A Lyapunov-based Approach to Safe Reinforcement Learning NIPS 2018
Online Learning with an Unknown Fairness Metric NIPS 2018
Completing State Representations using Spectral Learning NIPS 2018
From Stochastic Planning to Marginal MAP NIPS 2018
On Learning Intrinsic Rewards for Policy Gradient Methods NIPS 2018
Single-Agent Policy Tree Search With Guarantees NIPS 2018
A flexible model for training action localization with varying levels of supervision NIPS 2018
A probabilistic population code based on neural samples NIPS 2018
Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Reinforcement Learning of Theorem Proving NIPS 2018
Robustness of conditional GANs to noisy labels NIPS 2018
Removing Hidden Confounding by Experimental Grounding NIPS 2018
LinkNet: Relational Embedding for Scene Graph NIPS 2018
Meta-Learning MCMC Proposals NIPS 2018