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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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14833
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Papers (including subtopics)

Inference by Reparameterization in Neural Population Codes NIPS 2016
Differential Privacy without Sensitivity NIPS 2016
Adaptive Smoothed Online Multi-Task Learning NIPS 2016
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats NIPS 2016
Learning What and Where to Draw NIPS 2016
Bayesian Optimization with Robust Bayesian Neural Networks NIPS 2016
Learning Sensor Multiplexing Design through Back-propagation NIPS 2016
Unsupervised Domain Adaptation with Residual Transfer Networks NIPS 2016
Long-term Causal Effects via Behavioral Game Theory NIPS 2016
Sampling for Bayesian Program Learning NIPS 2016
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories NIPS 2016
Learning in Games: Robustness of Fast Convergence NIPS 2016
Showing versus doing: Teaching by demonstration NIPS 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation NIPS 2016
Brains on Beats NIPS 2016
Kronecker Determinantal Point Processes NIPS 2016
Pairwise Choice Markov Chains NIPS 2016
Stochastic Variational Deep Kernel Learning NIPS 2016
DISCO Nets : DISsimilarity COefficients Networks NIPS 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics NIPS 2016
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images NIPS 2016
Cooperative Inverse Reinforcement Learning NIPS 2016
Deep Learning Games NIPS 2016