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[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simp...
Created
2024-04-01
43 commits to main branch, last one about a month ago
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Created
2020-03-05
120 commits to master branch, last one 3 years ago
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)
Created
2020-01-01
17 commits to master branch, last one 7 months ago
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Created
2020-09-04
22 commits to master branch, last one 3 years ago
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
Created
2021-05-14
49 commits to main branch, last one 7 months ago
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Created
2018-08-28
20 commits to master branch, last one 4 years ago
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
Created
2022-08-20
224 commits to main branch, last one 5 hours ago
Fetch Academic Research Papers from different sources
Created
2022-07-15
64 commits to main branch, last one 10 months ago
Code for our NeurIPS 2022 paper
Created
2022-10-04
3 commits to main branch, last one 2 years ago
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Created
2019-01-11
84 commits to master branch, last one 2 years ago
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
dqn
aaai
icml
ijcai
neurips
rl-papers
q-learning
policy-gradient
imitation-learning
reinforcement-learning
artificial-intelligence
deep-reinforcement-learning
meta-reinforcement-learning
reinforcement-learning-paper
reinforcement-learning-papers
offline-reinforcement-learning
multi-agent-reinforcement-learning
reinforcement-learning-conferences
hierarchical-reinforcement-learning
reinforcement-learning-conferences-papers
Created
2023-01-05
117 commits to main branch, last one 5 months ago
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
Created
2022-01-18
339 commits to main branch, last one 16 days ago
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
Created
2021-05-04
105 commits to main branch, last one 2 years ago
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 bu...
Created
2023-11-04
38 commits to main branch, last one 3 months ago
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
Created
2020-10-06
30 commits to main branch, last one about a year ago
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...
Created
2020-11-03
30 commits to master branch, last one 2 years ago
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Created
2023-06-02
20 commits to main branch, last one about a month ago
[NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Created
2024-05-29
16 commits to main branch, last one 2 days ago
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.
Created
2019-05-09
54 commits to master branch, last one 3 years ago
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
Created
2023-11-09
11 commits to main branch, last one 9 months ago
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
Created
2022-03-03
77 commits to master branch, last one 2 years ago
Official implementation of CATs
Created
2021-06-04
41 commits to main branch, last one 10 months ago
[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 e...
Created
2022-05-26
55 commits to master branch, last one 2 years ago
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Created
2022-09-23
33 commits to main branch, last one 7 months ago
A list of paper templates in the area of machine learning.
Created
2023-12-23
89 commits to main branch, last one about a month ago
[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
Created
2023-05-31
77 commits to main branch, last one 8 months ago
Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
Created
2023-12-05
17 commits to main branch, last one 11 months ago
🔥RayDF in PyTorch (NeurIPS 2023)
Created
2023-10-30
15 commits to master branch, last one 12 months ago
Optimal Sparse Decision Trees
Created
2019-06-05
28 commits to master branch, last one about a year ago
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 Classif...
Created
2021-09-30
10 commits to main branch, last one 8 months ago