Chih-Kuan Yeh | DeepAI

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∙ 05/03/2023

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Deploying large language models (LLMs) is challenging because they are m...

0 Cheng-Yu Hsieh, et al. ∙

∙ 08/31/2022

Concept Gradient: Concept-based Interpretation Without Linear Assumption

Concept-based interpretations of black-box models are often more intuiti...

0 Andrew Bai, et al. ∙

∙ 03/02/2022

Faith-Shap: The Faithful Shapley Interaction Index

Shapley values, which were originally designed to assign attributions to...

0 Che-Ping Tsai, et al. ∙

∙ 02/25/2022

Human-Centered Concept Explanations for Neural Networks

Understanding complex machine learning models such as deep neural networ...

0 Chih-Kuan Yeh, et al. ∙

∙ 02/24/2022

Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations

A popular explainable AI (XAI) approach to quantify feature importance o...

0 Chih-Kuan Yeh, et al. ∙

∙ 02/24/2022

First is Better Than Last for Training Data Influence

The ability to identify influential training examples enables us to debu...

0 Chih-Kuan Yeh, et al. ∙

∙ 05/31/2020

Evaluations and Methods for Explanation through Robustness Analysis

Among multiple ways of interpreting a machine learning model, measuring ...

15 Cheng-Yu Hsieh, et al. ∙

∙ 04/12/2020

Minimizing FLOPs to Learn Efficient Sparse Representations

Deep representation learning has become one of the most widely adopted a...

20 Biswajit Paria, et al. ∙

∙ 10/17/2019

On Concept-Based Explanations in Deep Neural Networks

Deep neural networks (DNNs) build high-level intelligence on low-level r...

21 Chih-Kuan Yeh, et al. ∙

∙ 01/27/2019

How Sensitive are Sensitivity-Based Explanations?

We propose a simple objective evaluation measure for explanations of a c...

18 Chih-Kuan Yeh, et al. ∙

∙ 12/23/2018

Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching

We consider the problem of training speech recognition systems without u...

6 Chih-Kuan Yeh, et al. ∙

∙ 11/23/2018

Representer Point Selection for Explaining Deep Neural Networks

We propose to explain the predictions of a deep neural network, by point...

0 Chih-Kuan Yeh, et al. ∙

∙ 11/17/2017

Multi-Label Zero-Shot Learning with Structured Knowledge Graphs

In this paper, we propose a novel deep learning architecture for multi-l...

0 Chung-Wei Lee, et al. ∙

∙ 07/18/2017

Order-Free RNN with Visual Attention for Multi-Label Classification

In this paper, we propose the joint learning attention and recurrent neu...

0 Shang-Fu Chen, et al. ∙

∙ 07/12/2016

Automatic Bridge Bidding Using Deep Reinforcement Learning

Bridge is among the zero-sum games for which artificial intelligence has...

0 Chih-Kuan Yeh, et al. ∙

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