NUS-HPC-AI-Lab / InfoBatchLinks
Lossless Training Speed Up by Unbiased Dynamic Data Pruning
☆339Updated last year
Alternatives and similar repositories for InfoBatch
Users that are interested in InfoBatch are comparing it to the libraries listed below
Sorting:
- [ICCV2023] Dataset Quantization☆260Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆104Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- Dataset pruning for ImageNet and LAION-2B.☆79Updated last year
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆249Updated 2 years ago
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆251Updated 3 months ago
- Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …☆40Updated 11 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆131Updated last year
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆161Updated 5 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- ☆91Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆93Updated last year
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers☆105Updated 11 months ago
- My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"☆266Updated last month
- ☆215Updated this week
- ☆124Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆101Updated 2 years ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆410Updated last year
- ☆30Updated 8 months ago
- [NeurIPS 2024] Classification Done Right for Vision-Language Pre-Training☆218Updated 8 months ago
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆233Updated 11 months ago
- ☆138Updated last year
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆245Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆51Updated 11 months ago
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆242Updated 2 years ago
- 'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)☆239Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆75Updated last month