This repository is no longer maintained.

A Latex style and template for paper preprints (based on NIPS style)

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

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

All NeRF-related papers @ CVPR/ICCV/ECCV/NIPS/ICML/ICLR

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Download papers and supplemental materials from open-access paper website, such as AAAI, AAMAS, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

videos, slides, and others from NIPS 2017

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Our NIPS 2017: Learning to Run source code

Official implementation of our NeurIPS2021 paper: Relative Uncertainty Learning for Facial Expression Recognition

Books, courses, videos and blogs, mostly about Deep Learning.

This is the PyTorch implementation of Double Attention Network, NIPS 2018

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]

Crawler used to crawl papers