[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
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Updated
Dec 8, 2023 - Python
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
This is a collection of our zero-cost NAS and efficient vision applications.
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[NeurIPS'22] Official code of "ComMU: Dataset for Combinatorial Music Generation"
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Code for our NeurIPS 2022 paper
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
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"
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
[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.
[NeurIPS2022] Deep Model Reassembly
[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
PyTorch implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS'22 Spotlight)
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