neurips-2022
There are 76 repositories under neurips-2022 topic.
MCG-NJU/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
monk1337/resp
Fetch Academic Research Papers from different sources
alibaba/lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper
ShoufaChen/AdaptFormer
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Rongjiehuang/GenerSpeech
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
gcorso/torsional-diffusion
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
Adamdad/DeRy
[NeurIPS2022] Deep Model Reassembly
yiqun-wang/HFS
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
Lee-Gihun/MEDIAR
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
POZAlabs/ComMU-code
[NeurIPS'22] Official code of "ComMU: Dataset for Combinatorial Music Generation"
hila-chefer/RobustViT
[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.
kevinsbello/dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
vlfom/RNCDL
[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
CVMI-Lab/SlotCon
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
MACderRu/HyperDomainNet
Official Implementation for "HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks" (NeurIPS 2022)
Anttwo/MACARONS
(CVPR 2023) Official code of MACARONS: Mapping And Coverage Anticipation with RGB ONline Self-supervision. Also contains an updated and improved implementation of our previous work SCONE (NeurIPS 2022), on which this work is built.
ylhz/Adversarial_Attacks_and_Defense_NeurIPS2022
A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.
ziplab/EcoFormer
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
danielegrattarola/GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
tangjiapeng/NSDP
The official implementation for NeurIPS 2022 Spotlight Neural Shape Deformation Priors
Albert0147/AaD_SFDA
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
miccaiif/WENO
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
yshen47/SGAM_NeurIPS22
[NeurIPS 2022] SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
MCG-NJU/VideoMAE-Action-Detection
[NeurIPS 2022 Spotlight] VideoMAE for Action Detection
ModelZoos/ModelZooDataset
Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Models"
neuralchen/RainNet
[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Jarvis73/FPTrans
PyTorch implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS'22 Spotlight)
mlvlab/TokenMixup
Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
MCG-NJU/PointTAD
[NeurIPS 2022] PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
JonathanWenger/itergp
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Anttwo/SCONE
(NeurIPS 2022 - Spotlight) Official code of SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
vLAR-group/UnsupObjSeg
🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)
AI-in-Health/Patient-Instructions
Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Discharge/Patient Instructions" (NeurIPS 2022)
eslambakr/LAR-Look-Around-and-Refer
This is the official implementation for our paper;"LAR:Look Around and Refer".