LAMDA-Tabular / CHARMSLinks
The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"
☆19Updated 4 months ago
Alternatives and similar repositories for CHARMS
Users that are interested in CHARMS are comparing it to the libraries listed below
Sorting:
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated last month
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated 2 years ago
- [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"☆57Updated last month
- Implementation of Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting (ICLR 2023)☆12Updated 2 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- C-Mixup for NeurIPS 2022☆70Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆40Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆119Updated last year
- ☆35Updated last year
- Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap☆28Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated 2 years ago
- [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
- Analysis of evidential models☆13Updated 2 years ago
- ☆44Updated 3 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- [ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"☆12Updated 6 months ago
- ☆31Updated 2 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN☆12Updated last year
- ☆10Updated 4 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- LISA for ICML 2022☆50Updated 2 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆36Updated 8 months ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆42Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆100Updated 3 years ago