OPTML-Group / Robust-MoE-CNNLinks
[ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang (Atlas) Wang, Sijia Liu
☆60Updated last year
Alternatives and similar repositories for Robust-MoE-CNN
Users that are interested in Robust-MoE-CNN are comparing it to the libraries listed below
Sorting:
- PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444☆129Updated last year
- Code for 'Multi-level Logit Distillation' (CVPR2023)☆67Updated 10 months ago
- ☆91Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆192Updated 2 years ago
- 这里陈列了我编写的一些关于深度学习的画图工具，如果觉得有帮助可以给个star.☆41Updated 2 years ago
- ImageNet-1K data download, processing for using as a dataset☆104Updated 2 years ago
- Official code for Scale Decoupled Distillation☆41Updated last year
- Awesome-Low-Rank-Adaptation☆115Updated 9 months ago
- Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)☆69Updated 9 months ago
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆57Updated last month
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 8 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆73Updated 5 months ago
- ☆27Updated 2 years ago
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆123Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆88Updated last year
- Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022☆148Updated 2 years ago
- 'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)☆235Updated last year
- Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 20…☆24Updated 5 months ago
- The official implementation for paper: Improving Knowledge Distillation via Regularizing Feature Norm and Direction☆22Updated 2 years ago
- ☆26Updated last year
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆247Updated 2 years ago
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆75Updated 3 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆27Updated 11 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach, CVPR 2024☆22Updated last year
- ☆14Updated 2 years ago
- The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"☆116Updated 8 months ago
- ☆23Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆95Updated last year