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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 Aggregation

International Conference on Machine Learning (ICML), 2023
21 May 2023
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
ArXiv (abs)PDFHTMLGithub (541★)

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

7 / 7 papers shown
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
Diego Ortego
Marlon Rodríguez
Mario Almagro
Kunal Dahiya
David Jiménez
Juan C. Sanmiguel
VLM
242
0
0
17 Nov 2025
Prototypical Extreme Multi-label Classification with a Dynamic Margin
  Loss
Prototypical Extreme Multi-label Classification with a Dynamic Margin LossNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Kunal Dahiya
Diego Ortego
David Jiménez
309
2
0
27 Oct 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
199
8
0
03 May 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
442
5
0
09 Nov 2023
Dense Retrieval as Indirect Supervision for Large-space Decision Making
Dense Retrieval as Indirect Supervision for Large-space Decision MakingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nan Xu
Fei Wang
Mingtao Dong
Muhao Chen
RALM
210
5
0
28 Oct 2023
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
1.2K
980
0
14 Jun 2020
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
1.3K
5,019
0
28 Feb 2017
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