31 Open source projects that are alternatives of or similar to icml-nips-iclr-dataset

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Complete download for papers in various top conferences

This is the code repo of our NeurIPS2019 work that proposes novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.

Reimplementing cool papers in PyTorch...

Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

The Deep Weight Prior, ICLR 2019

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

🧪 Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)

Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

Papers with code. Sorted by stars. Updated weekly.

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

This is a collection of papers and other resources related to fairness.

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

Official code for UnICORNN (ICML 2021)

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Code for our paper, Neural Network Attributions: A Causal Perspective (ICML 2019).

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Official implementation of CATs

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]