Official PyTorch Implementation of SAGPool - ICML 2019
Proceedings of ICML 2019
Code for reproducing Manifold Mixup results (ICML 2019)
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML’19)
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
Code for our ICML 2019 paper "Temporal Gaussian Mixture Layer for Videos"
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
This repository contains audio samples that go with the ICML 2019 paper, "CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network",...
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi...
Sparse Variational Dropout, ICML 2017
ICML 2018 Self-Imitation Learning
Code to accompany ICML 2018 paper