neurips-2021
There are 63 repositories under neurips-2021 topic.
hkchengrex/STCN
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
SysCV/pcan
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
scaomath/galerkin-transformer
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax
xheon/panoptic-reconstruction
Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"
visinf/dense-ulearn-vos
Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)
hologerry/SoCo
[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning
SunghwanHong/Cost-Aggregation-transformers
Official implementation of CATs
hzhupku/SemiSeg-AEL
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
yang-song/score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Lilac-Lee/Neural_Scene_Flow_Prior
Neural Scene Flow Prior (NeurIPS 2021 spotlight)
rozumden/ShapeFromBlur
[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
kamwoh/orthohash
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
elias-ramzi/ROADMAP
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
releaunifreiburg/WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
gcorso/NeuroSEED
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
amazon-science/progressive-coordinate-transforms
Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021
subhc/unsup-parts
Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)
CISiPLab/cisip-FIRe
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.
Jiahao000/ORL
[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images
danielegrattarola/GNCA
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
csdongxian/ANP_backdoor
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
vsomnath/holoprot
Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
YicongHong/Entity-Graph-VLN
Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation
yuPeiyu98/Deep-Region-Competition
[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
songweige/Contrastive-Learning-with-Non-Semantic-Negatives
Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
vsomnath/graphretro
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
jeremy313/FL-WBC
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
dylan-slack/Modeling-Uncertainty-Local-Explainability
Local explanations with uncertainty 💐!
flyingtango/DiGCL
The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
neildhir/DCBO
Dynamic causal Bayesian optimisation
verlab/DEAL_NeurIPS_2021
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
kobybibas/pnml_ood_detection
Out-of-distribution detection using the pNML regret. NeurIPS2021
JonathanCrabbe/Simplex
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
oveilleux/Realistic_Transductive_Few_Shot
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
jh-jeong/smoothmix
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)