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Pretrained Generalized Autoregressive Model with Adaptive Probabilistic
  Label Clusters for Extreme Multi-label Text Classification
v1v2 (latest)

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

5 July 2020
Hui Ye
Zhiyu Zoey Chen
Da-han Wang
Brian D. Davison
    VLM
ArXiv (abs)PDFHTMLGithub (19★)

Papers citing "Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification"

22 / 22 papers shown
Multi-label Learning with Random Circular Vectors
Multi-label Learning with Random Circular Vectors
Ken Nishida
Kojiro Machi
Kazuma Onishi
Katsuhiko Hayashi
Hidetaka Kamigaito
261
0
0
08 Jul 2024
Learning label-label correlations in Extreme Multi-label Classification
  via Label Features
Learning label-label correlations in Extreme Multi-label Classification via Label FeaturesKnowledge Discovery and Data Mining (KDD), 2024
Siddhant Kharbanda
Devaansh Gupta
Erik Schultheis
Atmadeep Banerjee
Cho-Jui Hsieh
Rohit Babbar
192
7
0
03 May 2024
The Right Model for the Job: An Evaluation of Legal Multi-Label
  Classification Baselines
The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
Martina Forster
Claudia Schulz
Prudhvi Nokku
Melicaalsadat Mirsafian
Jaykumar Kasundra
Stavroula Skylaki
AILawELM
265
2
0
22 Jan 2024
Generalized test utilities for long-tail performance in extreme
  multi-label classification
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis
Marek Wydmuch
Wojciech Kotlowski
Rohit Babbar
Krzysztof Dembczyñski
ELM
405
5
0
09 Nov 2023
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word
  Tokenization on Downstream Applications
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Yang Tan
Mingchen Li
P. Tan
Ziyi Zhou
Huiqun Yu
Guisheng Fan
Liang Hong
216
0
0
26 Oct 2023
Dual-Encoders for Extreme Multi-Label Classification
Dual-Encoders for Extreme Multi-Label ClassificationInternational Conference on Learning Representations (ICLR), 2023
Nilesh Gupta
Devvrit Khatri
A. S. Rawat
Srinadh Bhojanapalli
Prateek Jain
Inderjit Dhillon
VLM
357
8
0
16 Oct 2023
MatchXML: An Efficient Text-label Matching Framework for Extreme
  Multi-label Text Classification
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text ClassificationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hui Ye
Rajshekhar Sunderraman
Shihao Ji
365
12
0
25 Aug 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood AggregationInternational Conference on Machine Learning (ICML), 2023
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
257
11
0
21 May 2023
Light-weight Deep Extreme Multilabel Classification
Light-weight Deep Extreme Multilabel ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Istasis Mishra
Arpan Dasgupta
Pratik Jawanpuria
Bamdev Mishra
Kiran Ravish
232
2
0
20 Apr 2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification
Cluster-Guided Label Generation in Extreme Multi-Label ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Taehee Jung
Joo-Kyung Kim
Sungjin Lee
Luan Tuyen Chau
VLM
342
7
0
17 Feb 2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field
  Cross-Model Study
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model StudyThe Web Conference (WWW), 2023
Yu Zhang
Sara Szymkuć
Qi Zhu
Yu Meng
Jiawei Han
212
26
0
07 Feb 2023
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution
  Training in Extreme Multi-label Classification
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label ClassificationNeural Information Processing Systems (NeurIPS), 2022
Siddhant Kharbanda
Atmadeep Banerjee
Erik Schultheis
Rohit Babbar
276
21
0
29 Oct 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
NGAME: Negative Mining-aware Mini-batching for Extreme ClassificationWeb Search and Data Mining (WSDM), 2022
Kunal Dahiya
Nilesh Gupta
Deepak Saini
Akshay Soni
Yajun Wang
...
Sonu Mehta
Ramachandran Ramjee
Sumeet Agarwal
Purushottam Kar
Manik Varma
323
45
0
10 Jul 2022
Long-tailed Extreme Multi-label Text Classification with Generated
  Pseudo Label Descriptions
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
Donghan Yu
Tom Vu
Li Lei
156
10
0
02 Apr 2022
Exploiting Local and Global Features in Transformer-based Extreme
  Multi-label Text Classification
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
Tom Vu
Li Lei
187
2
0
02 Apr 2022
GUDN: A novel guide network with label reinforcement strategy for
  extreme multi-label text classification
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classificationJournal of King Saud University: Computer and Information Sciences (JSUCIS), 2022
Qing Wang
Jia Zhu
Hongji Shu
K. Asamoah
J. Shi
Cong Zhou
364
17
0
10 Jan 2022
Adversarial Examples for Extreme Multilabel Text Classification
Adversarial Examples for Extreme Multilabel Text Classification
Mohammadreza Qaraei
Rohit Babbar
205
9
0
14 Dec 2021
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short
  Text Documents
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text DocumentsWeb Search and Data Mining (WSDM), 2021
Kunal Dahiya
Deepak Saini
Anshul Mittal
Ankush Shaw
Kushal Dave
Akshay Soni
Himanshu Jain
Sumeet Agarwal
Manik Varma
214
105
0
12 Nov 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood PredictionInternational Conference on Learning Representations (ICLR), 2021
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
737
179
0
29 Oct 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label
  Text Classification
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang
Wei-Cheng Chang
Hsiang-Fu Yu
Inderjit S. Dhillon
333
127
0
01 Oct 2021
InceptionXML: A Lightweight Framework with Synchronized Negative
  Sampling for Short Text Extreme Classification
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Siddhant Kharbanda
Atmadeep Banerjee
Devaansh Gupta
Akash Palrecha
Rohit Babbar
442
11
0
13 Sep 2021
On-the-fly Global Embeddings Using Random Projections for Extreme
  Multi-label Classification
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification
Yashaswi Verma
266
0
0
17 Dec 2019
1
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