A no-regret generalization of hierarchical softmax to extreme multi-label classification

27 October 2018

Krzysztof Dembczyñski

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Papers citing "A no-regret generalization of hierarchical softmax to extreme multi-label classification"

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SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub Benjamin C. Carter Jonathan Rivas Contreras Carlos A. Llanes Villegas Pawan Acharya Jack Utzerath ... Dylan Johnson Jacob Penney Igor Steinmacher M. Gerosa Fabio Santos 42 0 0 28 Jan 2025
Multi-Label Learning with Stronger Consistency Guarantees Anqi Mao M. Mohri Yutao Zhong 63 6 0 18 Jul 2024
Multi-label Learning with Random Circular Vectors Ken Nishida Kojiro Machi Kazuma Onishi Katsuhiko Hayashi Hidetaka Kamigaito 60 0 0 08 Jul 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification Siddhant Kharbanda Devaansh Gupta K. Gururaj Pankaj Malhotra Cho-Jui Hsieh Rohit Babbar Rohit Babbar 49 0 0 04 May 2024
Learning label-label correlations in Extreme Multi-label Classification via Label Features Siddhant Kharbanda Devaansh Gupta Erik Schultheis Atmadeep Banerjee Cho-Jui Hsieh Rohit Babbar 29 3 0 03 May 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 46 0 0 28 Feb 2024
Consistent algorithms for multi-label classification with macro-at- $k$ metrics Erik Schultheis Wojciech Kotlowski Marek Wydmuch Rohit Babbar Strom Borman Krzysztof Dembczyñski 28 5 0 29 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 45 3 0 18 Jan 2024
Generalized test utilities for long-tail performance in extreme multi-label classification Erik Schultheis Marek Wydmuch Wojciech Kotlowski Rohit Babbar Krzysztof Dembczyñski ELM 34 3 0 09 Nov 2023
Multi-modal Extreme Classification Anshul Mittal Kunal Dahiya Shreya Malani Janani Ramaswamy Seba Kuruvilla Jitendra Ajmera Keng-hao Chang Sumeet Agarwal Purushottam Kar Manik Varma 34 8 0 10 Sep 2023
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification Hui Ye Rajshekhar Sunderraman Shihao Ji 44 3 0 25 Aug 2023
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model Tianyu Chen Lin Li ZhuLiuchuan ZhuLiuchuan Zongyang Li Xueqing Liu Guangtai Liang Qianxiang Wang Tao Xie 16 3 0 09 Aug 2023
Recent Advances in Hierarchical Multi-label Text Classification: A Survey Rundong Liu Wen-Jun Liang Wei Luo Yuxiang Song Heng Zhang Ruohua Xu Yunfeng Li Ming Liu VLM 27 5 0 30 Jul 2023
Identifying Vulnerable Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries Tianyu Chen Lin Li Bingjie Shan Guangtai Liang Ding Li Qianxiang Wang Tao Xie 26 3 0 17 Jul 2023
Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU Erik Schultheis Rohit Babbar 30 4 0 06 Jun 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation Eli Chien Jiong Zhang Cho-Jui Hsieh Jyun-Yu Jiang Wei-Cheng Chang O. Milenkovic Hsiang-Fu Yu 33 9 0 21 May 2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification Taehee Jung Joo-Kyung Kim Sungjin Lee Dongyeop Kang VLM 26 6 0 17 Feb 2023
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification Pranjal Aggarwal Ameet Deshpande Karthik R. Narasimhan AILaw VLM 22 6 0 26 Jan 2023
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification Siddhant Kharbanda Atmadeep Banerjee Erik Schultheis Rohit Babbar 51 13 0 29 Oct 2022
Uncertainty in Extreme Multi-label Classification Jyun-Yu Jiang Wei-Cheng Chang Jiong Zhong Cho-Jui Hsieh Hsiang-Fu Yu UQCV 16 0 0 18 Oct 2022
Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer Piotr Pęzik Agnieszka Mikołajczyk-Bareła Adam Wawrzynski Bartlomiej Niton M. Ogrodniczuk 21 7 0 28 Sep 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta Ramachandran Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 44 35 0 10 Jul 2022
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification Ruohong Zhang Yau-Shian Wang Yiming Yang Tom Vu Li Lei 30 2 0 02 Apr 2022
Set-valued prediction in hierarchical classification with constrained representation complexity Thomas Mortier Eyke Hüllermeier Krzysztof Dembczyñski Willem Waegeman 21 3 0 13 Mar 2022
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification Qing Wang Jia Zhu Hongji Shu K. Asamoah J. Shi Cong Zhou 28 4 0 10 Jan 2022
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents Kunal Dahiya Deepak Saini Anshul Mittal Ankush Shaw Kushal Dave Akshay Soni Himanshu Jain Sumeet Agarwal Manik Varma 13 86 0 12 Nov 2021
Propensity-scored Probabilistic Label Trees Marek Wydmuch Kalina Jasinska-Kobus Rohit Babbar Krzysztof Dembczyñski 21 8 0 20 Oct 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification Jiong Zhang Wei-Cheng Chang Hsiang-Fu Yu Inderjit S. Dhillon 15 99 0 01 Oct 2021
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach Cheng-Yu Hsieh Weiliang Lin Miao Xu Gang Niu Hsuan-Tien Lin Masashi Sugiyama LRM 21 1 0 29 Sep 2021
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization Erik Schultheis Rohit Babbar 14 2 0 27 Sep 2021
Learning with Holographic Reduced Representations Ashwinkumar Ganesan Hang Gao S. Gandhi Edward Raff Tim Oates James Holt Mark McLean 13 23 0 05 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 35 30 0 24 Aug 2021
DECAF: Deep Extreme Classification with Label Features Anshul Mittal Kunal Dahiya Sheshansh Agrawal Deepak Saini Sumeet Agarwal Purushottam Kar Manik Varma VLM 24 66 0 01 Aug 2021
ECLARE: Extreme Classification with Label Graph Correlations Anshul Mittal Noveen Sachdeva Sheshansh Agrawal Sumeet Agarwal Purushottam Kar Manik Varma 17 64 0 31 Jul 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification Xuanqing Liu Wei-Cheng Chang Hsiang-Fu Yu Cho-Jui Hsieh Inderjit S. Dhillon 16 11 0 24 Jun 2021
Extreme Multi-label Learning for Semantic Matching in Product Search Wei-Cheng Chang Daniel Jiang Hsiang-Fu Yu C. Teo Jiong Zhang ... Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov Japinder Singh Inderjit S. Dhillon 45 59 0 23 Jun 2021
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees Philip A. Etter Kai Zhong Hsiang-Fu Yu Lexing Ying Inderjit Dhillon 14 3 0 04 Jun 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces A. S. Rawat A. Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar 39 9 0 12 May 2021
Prototype Memory for Large-scale Face Representation Learning Evgeny Smirnov Nikita Garaev V. Galyuk Evgeny Lukyanets CVBM 21 3 0 05 May 2021
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion Keshav Kolluru M. Chauhan Yatin Nandwani Parag Singla Mausam 25 2 0 18 Apr 2021
IRLI: Iterative Re-partitioning for Learning to Index Gaurav Gupta Tharun Medini Anshumali Shrivastava Alex Smola VLM 16 0 0 17 Mar 2021
Top- $k$ eXtreme Contextual Bandits with Arm Hierarchy Rajat Sen Alexander Rakhlin Lexing Ying Rahul Kidambi Dean Phillips Foster Daniel N. Hill Inderjit Dhillon 17 10 0 15 Feb 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 128 136 0 09 Jan 2021
Session-Aware Query Auto-completion using Extreme Multi-label Ranking Nishant Yadav Rajat Sen Daniel N. Hill A. Mazumdar Inderjit S. Dhillon 22 10 0 09 Dec 2020
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 38 252 0 23 Nov 2020
PECOS: Prediction for Enormous and Correlated Output Spaces Hsiang-Fu Yu Kai Zhong Jiong Zhang Wei-Cheng Chang Inderjit S. Dhillon 21 84 0 12 Oct 2020
Learning from eXtreme Bandit Feedback Romain Lopez Inderjit S. Dhillon Michael I. Jordan OffRL 28 25 0 27 Sep 2020
Probabilistic Label Trees for Extreme Multi-label Classification Kalina Jasinska-Kobus Marek Wydmuch Krzysztof Dembczyñski Mikhail Kuznetsov R. Busa-Fekete 12 18 0 23 Sep 2020
Online probabilistic label trees Kalina Jasinska-Kobus Marek Wydmuch D. Thiruvenkatachari Krzysztof Dembczyñski VLM 13 9 0 08 Jul 2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification Hui Ye Zhiyu Zoey Chen Da-han Wang Brian D. Davison VLM 13 51 0 05 Jul 2020