There are 6 repositories under neurips topic.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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)
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Code for our NeurIPS 2022 paper
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
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.
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
Official implementation of CATs
[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
🔥RayDF in PyTorch (NeurIPS 2023)
[NeurIPS 2019] Deep Set Prediction Networks
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Complete download for papers in various top conferences
👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)