ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.11218
  4. Cited By
Probabilistic Label Trees for Extreme Multi-label Classification

Probabilistic Label Trees for Extreme Multi-label Classification

23 September 2020
Kalina Jasinska-Kobus
Marek Wydmuch
Krzysztof Dembczyñski
Mikhail Kuznetsov
R. Busa-Fekete
ArXivPDFHTML

Papers citing "Probabilistic Label Trees for Extreme Multi-label Classification"

13 / 13 papers shown
Title
Labels in Extremes: How Well Calibrated are Extreme Multi-label
  Classifiers?
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Nasib Ullah
Erik Schultheis
Jinbin Zhang
Rohit Babbar
36
0
0
06 Nov 2024
Exploring space efficiency in a tree-based linear model for extreme
  multi-label classification
Exploring space efficiency in a tree-based linear model for extreme multi-label classification
He-Zhe Lin
Cheng-Hung Liu
Chih-Jen Lin
21
0
0
12 Oct 2024
Consistent algorithms for multi-label classification with macro-at-$k$
  metrics
Consistent algorithms for multi-label classification with macro-at-kkk 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
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
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
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
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
33
9
0
21 May 2023
Propensity-scored Probabilistic Label Trees
Propensity-scored Probabilistic Label Trees
Marek Wydmuch
Kalina Jasinska-Kobus
Rohit Babbar
Krzysztof Dembczyñski
24
8
0
20 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
15
99
0
01 Oct 2021
Label Disentanglement in Partition-based Extreme Multilabel
  Classification
Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu
Wei-Cheng Chang
Hsiang-Fu Yu
Cho-Jui Hsieh
Inderjit S. Dhillon
18
11
0
24 Jun 2021
Extreme Multi-label Learning for Semantic Matching in Product Search
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
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees
Philip A. Etter
Kai Zhong
Hsiang-Fu Yu
Lexing Ying
Inderjit Dhillon
16
3
0
04 Jun 2021
PECOS: Prediction for Enormous and Correlated Output Spaces
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
Online probabilistic label trees
Online probabilistic label trees
Kalina Jasinska-Kobus
Marek Wydmuch
D. Thiruvenkatachari
Krzysztof Dembczyñski
VLM
15
9
0
08 Jul 2020
1