Wei-Cheng Chang | DeepAI

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Featured Co-authors

Graham Neubig
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Barnabas Poczos
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J. Zico Kolter
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Yiming Yang
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Sanjiv Kumar
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Junjie Hu
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Olgica Milenkovic
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Youssef Mroueh
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Chun-Liang Li
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∙ 05/21/2023

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation

The eXtreme Multi-label Classification (XMC) problem seeks to find relev...

0 Eli Chien, et al. ∙

∙ 10/18/2022

Uncertainty in Extreme Multi-label Classification

Uncertainty quantification is one of the most crucial tasks to obtain tr...

0 Jyun-Yu Jiang, et al. ∙

∙ 12/16/2021

Extreme Zero-Shot Learning for Extreme Text Classification

The eXtreme Multi-label text Classification (XMC) problem concerns findi...

23 Yuanhao Xiong, et al. ∙

∙ 10/29/2021

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Learning on graphs has attracted significant attention in the learning c...

19 Eli Chien, et al. ∙

∙ 10/01/2021

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMC) seeks to find relevant lab...

9 Jiong Zhang, et al. ∙

∙ 06/24/2021

Label Disentanglement in Partition-based Extreme Multilabel Classification

Partition-based methods are increasingly-used in extreme multi-label cla...

0 Xuanqing Liu, et al. ∙

∙ 06/23/2021

Extreme Multi-label Learning for Semantic Matching in Product Search

We consider the problem of semantic matching in product search: given a ...

4 Wei-Cheng Chang, et al. ∙

∙ 07/06/2020

Kernel Stein Generative Modeling

We are interested in gradient-based Explicit Generative Modeling where s...

11 Wei-Cheng Chang, et al. ∙

∙ 04/24/2020

Explainable Unsupervised Change-point Detection via Graph Neural Networks

Change-point detection (CPD) aims at detecting the abrupt property chang...

14 Ruohong Zhang, et al. ∙

∙ 02/10/2020

Pre-training Tasks for Embedding-based Large-scale Retrieval

We consider the large-scale query-document retrieval problem: given a qu...

4 Wei-Cheng Chang, et al. ∙

∙ 10/19/2019

XL-Editor: Post-editing Sentences with XLNet

While neural sequence generation models achieve initial success for many...

0 Yong-Siang Shih, et al. ∙

∙ 05/07/2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification

Extreme multi-label classification (XMC) aims to assign to an instance t...

0 Wei-Cheng Chang, et al. ∙

∙ 02/26/2019

Implicit Kernel Learning

Kernels are powerful and versatile tools in machine learning and statist...

0 Chun-Liang Li, et al. ∙

∙ 01/18/2019

Kernel Change-point Detection with Auxiliary Deep Generative Models

Detecting the emergence of abrupt property changes in time series is a c...

0 Wei-Cheng Chang, et al. ∙

∙ 09/01/2018

Contextual Encoding for Translation Quality Estimation

The task of word-level quality estimation (QE) consists of taking a sour...

0 Junjie Hu, et al. ∙

∙ 06/01/2017

The Mixing method: coordinate descent for low-rank semidefinite programming

In this paper, we propose a coordinate descent approach to low-rank stru...

0 Po-Wei Wang, et al. ∙

∙ 05/24/2017

MMD GAN: Towards Deeper Understanding of Moment Matching Network

Generative moment matching network (GMMN) is a deep generative model tha...

0 Chun-Liang Li, et al. ∙

∙ 05/23/2017

Data-driven Random Fourier Features using Stein Effect

Large-scale kernel approximation is an important problem in machine lear...

0 Wei-Cheng Chang, et al. ∙

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