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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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22
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14833
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Papers (including subtopics)

Learning Independent Causal Mechanisms ICML 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018
Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction ICML 2018
Do Outliers Ruin Collaboration? ICML 2018
Machine Theory of Mind ICML 2018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018
Tighter Variational Bounds are Not Necessarily Better ICML 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018
Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018
Weightless: Lossy weight encoding for deep neural network compression ICML 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
Been There, Done That: Meta-Learning with Episodic Recall ICML 2018
Probabilistic Boolean Tensor Decomposition ICML 2018
Learning Equations for Extrapolation and Control ICML 2018
Graph Networks as Learnable Physics Engines for Inference and Control ICML 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018
Overcoming Catastrophic Forgetting with Hard Attention to the Task ICML 2018
Finding Influential Training Samples for Gradient Boosted Decision Trees ICML 2018
Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018
Knowledge Transfer with Jacobian Matching ICML 2018