Here are
47 public repositories
matching this topic...
For deep RL and the future of AI.
Updated
Mar 31, 2022
HTML
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
Mar 2, 2022
Python
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Updated
Dec 25, 2019
Jupyter Notebook
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Updated
Oct 5, 2021
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Mar 2, 2022
Python
365 Days Computer Vision Learning Linkedin Post
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Updated
Aug 25, 2021
Jupyter Notebook
Lua implementation of Entropy-SGD
Updated
Apr 9, 2018
Python
Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
Updated
Jul 25, 2020
Python
Machine Learning Research
Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
Updated
Nov 17, 2020
Python
Mixed-curvature Variational Autoencoders (ICLR 2020)
Updated
Jan 31, 2021
Python
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
Updated
Aug 14, 2019
Jupyter Notebook
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
Updated
Jun 7, 2019
Python
Crawl & visualize ICLR papers and reviews
Updated
Jan 29, 2022
Jupyter Notebook
The Deep Weight Prior, ICLR 2019
Updated
Apr 30, 2021
Jupyter Notebook
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Updated
Feb 1, 2020
Python
🧪 Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
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Aug 3, 2021
Python
Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
Updated
Feb 6, 2020
Python
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
Updated
Jan 17, 2022
Jupyter Notebook
Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".
Updated
Oct 29, 2021
Jupyter Notebook
Official code for Long Expressive Memory (ICLR 2022, Spotlight)
Updated
Mar 11, 2022
Python
Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
Updated
Aug 26, 2021
Python
Reimplementing cool papers in PyTorch...
Updated
Oct 18, 2019
Jupyter Notebook
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
Updated
Feb 25, 2019
Python
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021
Updated
Jun 20, 2021
Python
Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
Updated
Mar 12, 2021
Python
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