Alternatives and similar repositories for DDInterpreter:

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

• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• VITA-Group / ProgressiveDD
  [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
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆33Updated 10 months ago
• uitrbn / IDM
  ☆25Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆21Updated 2 years ago
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆13Updated last year
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆12Updated last year
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆20Updated 9 months ago
• yolky / RCIG
  ☆14Updated 2 years ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated 4 months ago
• justincui03 / tesla
  ☆28Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆18Updated 2 years ago
• ncsu-dk-lab / Acc-DD
  ☆13Updated 2 years ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated 6 months ago
• taeckyung / SoTTA
  This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …
  ☆21Updated last year
• illidanlab / ABD
  [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
  ☆23Updated 9 months ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆21Updated 7 months ago
• inspire-group / tta_risk
  ☆11Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆58Updated last week
• JngwenYe / LIRF
  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
  ☆21Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆69Updated 2 months ago
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 6 months ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆20Updated 9 months ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆24Updated last year
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets"
  ☆11Updated last month
• princetonvisualai / multimodal_dataset_distillation
  ☆56Updated 3 months ago
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆23Updated 2 years ago
• QizhouWang / DOE
  ☆26Updated 2 years ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year