Hsiang-Fu Yu | DeepAI

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Olgica Milenkovic
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Shihao Ji
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∙ 05/31/2023

Representer Point Selection for Explaining Regularized High-dimensional Models

We introduce a novel class of sample-based explanations we term high-dim...

0 Che-Ping Tsai, et al. ∙

∙ 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. ∙

∙ 10/16/2022

End-to-End Learning to Index and Search in Large Output Spaces

Extreme multi-label classification (XMC) is a popular framework for solv...

22 Nilesh Gupta, et al. ∙

∙ 02/21/2022

Accelerating Primal-dual Methods for Regularized Markov Decision Processes

Entropy regularized Markov decision processes have been widely used in r...

3 Haoya Li, 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. ∙

∙ 06/04/2021

Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees

Tree-based models underpin many modern semantic search engines and recom...

9 Philip A. Etter, et al. ∙

∙ 10/12/2020

PECOS: Prediction for Enormous and Correlated Output Spaces

Many challenging problems in modern applications amount to finding relev...

0 Hsiang-Fu Yu, et al. ∙

∙ 04/01/2020

Extreme Multi-label Classification from Aggregated Labels

Extreme multi-label classification (XMC) is the problem of finding the r...

7 Yanyao Shen, et al. ∙

∙ 03/13/2020

Learning to Encode Position for Transformer with Continuous Dynamical Model

We introduce a new way of learning to encode position information for no...

0 Xuanqing Liu, et al. ∙

∙ 08/27/2019

Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure

The architecture of Transformer is based entirely on self-attention, and...

18 Vikas K. Garg, et al. ∙

∙ 05/29/2019

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering

In this paper, we consider recommender systems with side information in ...

0 Liwei Wu, et al. ∙

∙ 05/09/2019

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Forecasting high-dimensional time series plays a crucial role in many ap...

0 Rajat Sen, et al. ∙

∙ 05/08/2019

AutoAssist: A Framework to Accelerate Training of Deep Neural Networks

Deep neural networks have yielded superior performance in many applicati...

28 Jiong Zhang, 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. ∙

∙ 05/09/2018

LearningWord Embeddings for Low-resource Languages by PU Learning

Word embedding is a key component in many downstream applications in pro...

0 Chao Jiang, et al. ∙

∙ 05/31/2016

Extreme Stochastic Variational Inference: Distributed and Asynchronous

We propose extreme stochastic variational inference (ESVI), an asynchron...

0 Jiong Zhang, et al. ∙

∙ 09/28/2015

High-dimensional Time Series Prediction with Missing Values

High-dimensional time series prediction is needed in applications as div...

0 Hsiang-Fu Yu, et al. ∙

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