OPTML-Group / DP4TL
[NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*, Aochuan Chen*, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
☆11Updated last year
Alternatives and similar repositories for DP4TL:
Users that are interested in DP4TL are comparing it to the libraries listed below
- ☆15Updated 9 months ago
- ☆26Updated 3 months ago
- Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024☆11Updated 8 months ago
- ☆25Updated 2 years ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆13Updated 11 months ago
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆41Updated 11 months ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆18Updated last year
- ☆60Updated 5 months ago
- Data distillation benchmark☆58Updated this week
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆19Updated 6 months ago
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆39Updated 4 months ago
- ☆25Updated last year
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆23Updated 2 years ago
- [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"☆17Updated last year
- ☆27Updated 11 months ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 8 months ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 8 months ago
- [TMLR 2025] On Memorization in Diffusion Models☆24Updated last year
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆24Updated last month
- Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap☆28Updated 2 years ago
- ☆13Updated last week
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆12Updated 10 months ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆35Updated 5 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆66Updated 2 months ago
- ☆37Updated 2 years ago