he-y / Multisize-Dataset-Condensation
Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
☆13Updated last year
Alternatives and similar repositories for Multisize-Dataset-Condensation:
Users that are interested in Multisize-Dataset-Condensation are comparing it to the libraries listed below
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 9 months ago
- ☆16Updated 10 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 10 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆12Updated last year
- Towards Unified and Effective Domain Generalization☆31Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆20Updated 4 months ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆12Updated 11 months ago
- ☆25Updated last year
- ☆42Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 6 months ago
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated last year
- ☆13Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆21Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆21Updated 2 years ago
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024☆12Updated 9 months ago
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆23Updated 4 months ago
- ☆39Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- Data distillation benchmark☆58Updated last week
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆23Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ☆29Updated last year