Chih-Kuan Yeh
16 papers · 2018–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Artificial Intelligence
(13)
Machine Learning
(11)
Core AI
(10)
Learning Types Β· Machine Learning
(5)
Deep Learning
(4)
Application Areas
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Core Methods
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Architectures
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Mathematics & Optimization
(1)
Natural Language Processing
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Speech & Audio
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Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
feature attribution
(3)
neural network
(3)
representation learning
(2)
feature importance
(2)
multi-task learning
(2)
model interpretability
(2)
model explanation
(2)
influence function
(2)
shapley value
(2)
language model
(2)
neural machine translation
(1)
speech recognition
(1)
knowledge distillation
(1)
rationale extraction
(1)
metric learning
(1)
sparse representation
(1)
efficient computing
(1)
concept-based explanation
(1)
catastrophic forgetting
(1)
few-shot learning
(1)
Papers
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
NAACL 2025
Concept Gradient: Concept-based Interpretation Without Linear Assumption
ICLR 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Faith-Shap: The Faithful Shapley Interaction Index
JMLR 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
Sample based Explanations via Generalized Representers
NeurIPS 2023
First is Better Than Last for Language Data Influence
NeurIPS 2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
AISTATS 2022
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
Minimizing FLOPs to Learn Efficient Sparse Representations
ICLR 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
NeurIPS 2020
On the (In)fidelity and Sensitivity of Explanations
NeurIPS 2019
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
ICLR 2019
Deep Generative Models for Weakly-Supervised Multi-Label Classification
ECCV 2018
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs
CVPR 2018
Representer Point Selection for Explaining Deep Neural Networks
NeurIPS 2018