weitianxin / awesome-distribution-shiftView external linksLinks
A curated list of papers and resources about the distribution shift in machine learning.
☆125Aug 5, 2023Updated 2 years ago
Alternatives and similar repositories for awesome-distribution-shift
Users that are interested in awesome-distribution-shift are comparing it to the libraries listed below
Sorting:
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆11Aug 12, 2021Updated 4 years ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated last year
- Test-Time Label-Shift Adaptation☆13May 24, 2023Updated 2 years ago
- Awesome things about domain generalization, including papers, code, etc.☆522Apr 16, 2025Updated 9 months ago
- [ICLR 2025 Spotlight] Realistic Evaluation of Deep Partial-Label Learning Algorithms☆13Feb 2, 2025Updated last year
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Jan 28, 2024Updated 2 years ago
- Implementation of Centered Kernel Alignment (CKA)☆10Apr 7, 2021Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Dec 5, 2022Updated 3 years ago
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆13Dec 11, 2021Updated 4 years ago
- Reading list for multimodal learning in healthcare☆11Oct 9, 2023Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Feb 16, 2023Updated 2 years ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆17Jun 2, 2024Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated 8 months ago
- ☆33Updated this week
- Official implementation of SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction☆20Mar 19, 2025Updated 10 months ago
- uPU, nnPU and PN learning with Extra Trees classifier.☆18Dec 2, 2024Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Feb 27, 2025Updated 11 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Jul 19, 2023Updated 2 years ago
- KDD 2024 | FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction☆17Sep 4, 2024Updated last year
- Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…☆15Jun 9, 2022Updated 3 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Jun 27, 2024Updated last year
- Deep Learning for EHR papers☆34Aug 25, 2019Updated 6 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Jul 11, 2023Updated 2 years ago
- ☆22Jun 3, 2019Updated 6 years ago
- Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond☆16Jan 11, 2020Updated 6 years ago
- Code for CVPR 2024 paper: Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation☆21May 19, 2024Updated last year
- A simple algorithm to identify and correct for label shift.☆21Feb 4, 2018Updated 8 years ago
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,204Nov 14, 2025Updated 3 months ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Jun 20, 2020Updated 5 years ago
- ☆23Sep 30, 2024Updated last year
- [ACL 25] SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities☆27Apr 2, 2025Updated 10 months ago
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated last year
- ☆17Aug 1, 2025Updated 6 months ago
- [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.☆25Dec 25, 2023Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- spatio-temporal tasks☆15Jul 15, 2024Updated last year
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21May 29, 2022Updated 3 years ago