Open-Source-ML / awesome-human-centered-ai
A curated list of awesome human-centered AI resources.
☆42Updated 2 years ago
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- Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview☆19Updated 9 months ago
- Crawl & Visualize ICLR 2023 Data from OpenReview☆71Updated last year
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆44Updated 9 months ago
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- ICLR2023 statistics☆60Updated 10 months ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆36Updated 11 months ago
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- Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang☆18Updated 3 years ago
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- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆19Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 2 years ago
- ☆47Updated last year
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆63Updated 6 months ago
- Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning☆29Updated 5 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆21Updated last month
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆38Updated 2 months ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆23Updated 4 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆53Updated 9 months ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆67Updated 4 months ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆22Updated 3 years ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆59Updated 6 months ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)☆37Updated 2 years ago
- ☆21Updated this week
- ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference☆100Updated last year
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- ICLR2024 statistics☆45Updated 9 months ago
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- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆11Updated 2 years ago