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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)

Permutation-based Causal Inference Algorithms with Interventions NIPS 2017
Deep Dynamic Poisson Factorization Model NIPS 2017
Experimental Design for Learning Causal Graphs with Latent Variables NIPS 2017
Lower bounds on the robustness to adversarial perturbations NIPS 2017
Reliable Decision Support using Counterfactual Models NIPS 2017
A multi-agent reinforcement learning model of common-pool resource appropriation NIPS 2017
Predictive State Recurrent Neural Networks NIPS 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NIPS 2017
A Regularized Framework for Sparse and Structured Neural Attention NIPS 2017
Style Transfer from Non-Parallel Text by Cross-Alignment NIPS 2017
Unsupervised Learning of Disentangled Representations from Video NIPS 2017
Countering Feedback Delays in Multi-Agent Learning NIPS 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Statistical Cost Sharing NIPS 2017
Inverse Reward Design NIPS 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NIPS 2017
Spectral Mixture Kernels for Multi-Output Gaussian Processes NIPS 2017
Successor Features for Transfer in Reinforcement Learning NIPS 2017
Hypothesis Transfer Learning via Transformation Functions NIPS 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Online Reinforcement Learning in Stochastic Games NIPS 2017
Variational Memory Addressing in Generative Models NIPS 2017