Chih-Kuan Yeh
Carnegie Mellon University
H-index: 15
North America-United States
Top articles of Chih-Kuan Yeh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context | arXiv preprint arXiv:2403.05530 | Machel Reid Nikolay Savinov Denis Teplyashin Dmitry Lepikhin Timothy Lillicrap | 2024/3/8 |
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning | Advances in Neural Information Processing Systems | Dami Choi Derrick Xin Hamid Dadkhahi Justin Gilmer Ankush Garg | 2024/2/13 |
Sample based explanations via generalized representers | Advances in Neural Information Processing Systems | Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar | 2024/2/13 |
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? | arXiv preprint arXiv:2402.08096 | Andrew Bai Chih-Kuan Yeh Cho-Jui Hsieh Ankur Taly | 2024/2/12 |
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes | arXiv preprint arXiv:2305.02301 | Cheng-Yu Hsieh Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii | 2023/5/3 |
Gemini: a family of highly capable multimodal models | arXiv preprint arXiv:2312.11805 | Gemini Team Rohan Anil Sebastian Borgeaud Yonghui Wu Jean-Baptiste Alayrac | 2023/12/19 |
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations | Chih-Kuan Yeh Kuan-Yun Lee Frederick Liu Pradeep Ravikumar | 2022/5/3 | |
Human-Centered Concept Explanations for Neural Networks | Neuro-Symbolic Artificial Intelligence: The State of the Art | P Hitzler M Sarker | 2022/1/19 |
First is Better Than Last for Language Data Influence | Advances in Neural Information Processing Systems | Chih-Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar | 2022/12/6 |
Concept Gradient: Concept-based Interpretation Without Linear Assumption | arXiv preprint arXiv:2208.14966 | Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil YC Lin Cho-Jui Hsieh | 2022/8/31 |
Objective Criteria for Explainable Machine Learning | Chih-Kuan Yeh | 2022/8 | |
Faith-Shap: The Faithful Shapley Interaction Index | Journal of Machine Learning Research | Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar | 2023 |
Objective criteria for explanations of machine learning models | Applied AI Letters | Chih‐Kuan Yeh Pradeep Ravikumar | 2021/12 |
Unsupervised automatic speech recognition | 2021/10/5 | ||
Minimizing flops to learn efficient sparse representations | arXiv preprint arXiv:2004.05665 | Biswajit Paria Chih-Kuan Yeh Ian EH Yen Ning Xu Pradeep Ravikumar | 2020/4/12 |
On Completeness-Aware Concept-Based Explanations in Deep Neural Networks | Advances in neural information processing systems | Chih-Kuan Yeh Been Kim Sercan Arik Chun-Liang Li Tomas Pfister | 2020 |
Evaluations and methods for explanation through robustness analysis | arXiv preprint arXiv:2006.00442 | Cheng-Yu Hsieh Chih-Kuan Yeh Xuanqing Liu Pradeep Ravikumar Seungyeon Kim | 2020/5/31 |
Co-Authors
