Alternatives and similar repositories for 2023_ICLR_Moderate-DS

Users that are interested in 2023_ICLR_Moderate-DS are comparing it to the libraries listed below

• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆43Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆62Updated 11 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 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…
  ☆47Updated 3 years ago
• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆15Updated 10 months ago
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆90Updated last year
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated 2 years ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• tmlr-group / CoPA
  [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"
  ☆10Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆80Updated 10 months ago
• zhangxin-xd / Dataset-Pruning-TDDS
  The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …
  ☆22Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆104Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆109Updated 2 years ago
• tmllab / 2024_ICML_DICL
  ☆18Updated last year
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆20Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆85Updated last year
• QizhouWang / DOE
  ☆26Updated 2 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago