changlin31 / AutoProgLinks
(CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
☆25Updated 5 months ago
Alternatives and similar repositories for AutoProg
Users that are interested in AutoProg are comparing it to the libraries listed below
Sorting:
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 2 years ago
- Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)☆33Updated 3 years ago
- Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers☆26Updated 3 years ago
- Paper List for In-context Learning 🌷☆20Updated 2 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Updated 3 years ago
- ☆57Updated 4 years ago
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- Official pytorch implementation for CVPR2022 paper "Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training"☆17Updated 3 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated last year
- Official codes for ConMIM (ICLR 2023)☆60Updated 2 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆50Updated 4 years ago
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆73Updated 3 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- ☆72Updated 4 months ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆56Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 2 years ago
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated 2 years ago
- Official Codes and Pretrained Models for RecursiveMix☆22Updated 2 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated 2 years ago
- code base for vision transformers☆36Updated 3 years ago
- PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)☆99Updated 3 years ago
- code release of research paper "Exploring Long-Sequence Masked Autoencoders"☆100Updated 2 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆69Updated 3 years ago
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆55Updated 2 years ago