Theory
5,579 papers
Papers per year
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Papers
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
ICML 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
ICML 2020
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
NeurIPS 2020
Goal Recognition Design - Survey
IJCAI 2020
Gradient Boosts the Approximate Vanishing Ideal
AAAI 2020
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks
ICLR 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
AISTATS 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
IJCAI 2020
Graph Structure of Neural Networks
ICML 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
COLT 2020
Hardness of Learning Neural Networks with Natural Weights
NeurIPS 2020
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation
MLHC 2020
Hierarchical Clustering: A 0.585 Revenue Approximation
COLT 2020
High-dimensional Robust Mean Estimation via Gradient Descent
ICML 2020
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
CVPR 2020
How hard is to distinguish graphs with graph neural networks?
NeurIPS 2020
How many samples is a good initial point worth in Low-rank Matrix Recovery?
NeurIPS 2020
How much Position Information Do Convolutional Neural Networks Encode?
ICLR 2020
Human Gaze Assisted Artificial Intelligence: A Review
IJCAI 2020
Humans Meet Models on Object Naming: A New Dataset and Analysis
COLING 2020
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
PGM 2020
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization
ICLR 2020
If beam search is the answer, what was the question?
EMNLP 2020
If You Build Your Own NER Scorer, Non-replicable Results Will Come
EMNLP 2020
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NeurIPS 2020