Chih-Kuan Yeh
16 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
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Top co-authors
Keywords
feature attribution
(2)
neural network
(2)
shapley value
(2)
feature importance
(2)
influence function
(2)
multi-task learning
(2)
few-shot learning
(1)
adversarial robustness
(1)
continual learning
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rationale extraction
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explainable ai
(1)
visual reasoning
(1)
knowledge graph
(1)
neural machine translation
(1)
value function
(1)
knowledge distillation
(1)
model interpretability
(1)
perturbation analysis
(1)
computational efficiency
(1)
concept-based explanation
(1)
Papers
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
NAACL 2025
Faith-Shap: The Faithful Shapley Interaction Index
JMLR 2023
Concept Gradient: Concept-based Interpretation Without Linear Assumption
ICLR 2023
Sample based Explanations via Generalized Representers
NIPS 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NIPS 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
AISTATS 2022
First is Better Than Last for Language Data Influence
NIPS 2022
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
NIPS 2020
Minimizing FLOPs to Learn Efficient Sparse Representations
ICLR 2020
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
ICLR 2019
On the (In)fidelity and Sensitivity of Explanations
NIPS 2019
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs
CVPR 2018
Representer Point Selection for Explaining Deep Neural Networks
NIPS 2018
Deep Generative Models for Weakly-Supervised Multi-Label Classification
ECCV 2018