Alternatives and similar repositories for DP4TL:

Users that are interested in DP4TL are comparing it to the libraries listed below

• yaolu-zjut / DDInterpreter
  ☆15Updated 7 months ago
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆17Updated 2 years ago
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆15Updated 9 months ago
• QizhouWang / DOE
  ☆25Updated last year
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆26Updated 3 months ago
• sail-sg / Meta-Unlearning
  ☆21Updated last month
• ncsu-dk-lab / Acc-DD
  ☆12Updated last year
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆23Updated 10 months ago
• clear-nus / selective-amnesia
  ☆57Updated 3 months ago
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆17Updated 4 months ago
• MediaBrain-SJTU / OC_LT
  Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
  ☆11Updated 6 months ago
• OPTML-Group / AdvUnlearn
  Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…
  ☆35Updated 2 months ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated last year
• warriors-30 / SFAT-paddle
  ☆24Updated last year
• uitrbn / IDM
  ☆24Updated last year
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆31Updated 6 months ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆22Updated 2 years ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆33Updated 3 months ago
• RoyalSkye / ATCL
  [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"
  ☆13Updated 2 years ago
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆40Updated 9 months ago
• xavihart / PDM-Pure
  PDM-based Purifier
  ☆19Updated 2 months ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆63Updated 2 months ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated last month
• yolky / RCIG
  ☆14Updated last year
• VICO-UoE / IT-GAN
  ☆22Updated last year
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆52Updated last year
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆20Updated 6 months ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• sail-sg / D-TRAK
  Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
  ☆24Updated 11 months ago