Wang-ML-Lab / TSDALinks
[ICML 2023] Taxonomy-Structured Domain Adaptation
☆12Updated 2 years ago
Alternatives and similar repositories for TSDA
Users that are interested in TSDA are comparing it to the libraries listed below
Sorting:
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆40Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 8 months ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆38Updated last year
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆24Updated 10 months ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆18Updated 2 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Updated 2 years ago
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Updated 2 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- Analysis of evidential models☆14Updated 2 years ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆14Updated 11 months ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆24Updated last year
- ☆44Updated 3 months ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 4 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Implementation of "A Large-Scale Study of Probabilistic Calibration in Neural Network Regression" (ICML 2023)☆11Updated 4 months ago
- ☆42Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Updated 2 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆14Updated 11 months ago
- ☆17Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆15Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆37Updated 2 years ago
- [ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"☆12Updated last year
- ☆26Updated 2 years ago