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[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Fetch Academic Research Papers from different sources
This is a collection of our zero-cost NAS and efficient vision applications.
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Code for our NeurIPS 2022 paper
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
[NeurIPS2022] Deep Model Reassembly
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
(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'22] Official code of "ComMU: Dataset for Combinatorial Music Generation"
[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.
[NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
Official Implementation for "HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks" (NeurIPS 2022)
(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.
A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
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