Alternatives and similar repositories for Data-Shapley-in-One-Training-Run-Code

Users that are interested in Data-Shapley-in-One-Training-Run-Code are comparing it to the libraries listed below

• QizhouWang / DOE
  ☆26Updated 2 years ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last week
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆14Updated last year
• taeckyung / SoTTA
  This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …
  ☆22Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆110Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year
• yaolu-zjut / DDInterpreter
  ☆15Updated 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…
  ☆53Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 8 months ago
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆13Updated last year
• zhangmarvin / memo
  ☆67Updated 2 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• RuoyuChen10 / SMDL-Attribution
  [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
  ☆82Updated 3 months ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆70Updated 5 months ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆122Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆20Updated 11 months ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆31Updated 11 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• uitrbn / IDM
  ☆27Updated 2 years ago
• sdh0818 / FreD
  Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
  ☆30Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆39Updated 11 months ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆62Updated 2 years ago
• ncsu-dk-lab / Acc-DD
  ☆14Updated 2 years ago
• ml-stat-Sustech / CLIP_Calibration
  [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
  ☆15Updated last year