Alternatives and similar repositories for Dataset-Pruning-TDDS

Users that are interested in Dataset-Pruning-TDDS are comparing it to the libraries listed below

• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated last year
• haizhongzheng / Coverage-centric-coreset-selection
  ☆41Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆251Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 10 months ago
• yonseivnl / earl
  ☆16Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• zhangmarvin / memo
  ☆71Updated 2 years ago
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• skgyu / SpaceshipNet
  Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
  ☆21Updated 2 years ago
• numpee / CKA.pytorch
  A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.
  ☆56Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆20Updated 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
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆90Updated last year
• drimpossible / BudgetCL
  Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?
  ☆18Updated last year
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated 2 years ago
• princetonvisualai / RememberThePast-DatasetDistillation
  ☆40Updated 3 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆62Updated last year
• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆15Updated 10 months ago
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago