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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...
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10/18/2022
Uncertainty in Extreme Multi-label Classification
Uncertainty quantification is one of the most crucial tasks to obtain tr...
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12/16/2021
Extreme Zero-Shot Learning for Extreme Text Classification
The eXtreme Multi-label text Classification (XMC) problem concerns findi...
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10/29/2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Learning on graphs has attracted significant attention in the learning c...
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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...
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06/24/2021
Label Disentanglement in Partition-based Extreme Multilabel Classification
Partition-based methods are increasingly-used in extreme multi-label cla...
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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 ...
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07/06/2020
Kernel Stein Generative Modeling
We are interested in gradient-based Explicit Generative Modeling where s...
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04/24/2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Change-point detection (CPD) aims at detecting the abrupt property chang...
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02/10/2020
Pre-training Tasks for Embedding-based Large-scale Retrieval
We consider the large-scale query-document retrieval problem: given a qu...
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10/19/2019
XL-Editor: Post-editing Sentences with XLNet
While neural sequence generation models achieve initial success for many...
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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...
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02/26/2019
Implicit Kernel Learning
Kernels are powerful and versatile tools in machine learning and statist...
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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...
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09/01/2018
Contextual Encoding for Translation Quality Estimation
The task of word-level quality estimation (QE) consists of taking a sour...
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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...
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05/24/2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Generative moment matching network (GMMN) is a deep generative model tha...
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05/23/2017