Alternatives and similar repositories for IDEAL

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

• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• tmllab / 2024_ICML_DICL
  ☆18Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆38Updated 10 months ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆112Updated last year
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆16Updated 6 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated 10 months 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
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆101Updated last year
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆44Updated 8 months ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆86Updated 9 months ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 9 months ago
• princetonvisualai / multimodal_dataset_distillation
  ☆59Updated 7 months ago
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆193Updated 2 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆77Updated 4 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆73Updated 6 months ago
• Yujun-Shi / CwD
  Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…
  ☆34Updated 2 years ago
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• Imbalance-VLM / Imbalance-VLM
  ☆118Updated 2 years ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆80Updated last year
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆20Updated 3 years ago
• resistzzz / Co-Reward
  Co-Reward: Self-supervised RL for LLM Reasoning via Contrastive Agreement
  ☆27Updated last week
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆45Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆111Updated 2 years ago
• Gank0078 / FineSSL
  Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)
  ☆22Updated 3 months ago