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

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

27 October 2018
Marek Wydmuch
Kalina Jasinska
Mikhail Kuznetsov
R. Busa-Fekete
Krzysztof Dembczyñski
ArXivPDFHTML

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

14 / 64 papers shown
Title
Unbiased Loss Functions for Extreme Classification With Missing Labels
Unbiased Loss Functions for Extreme Classification With Missing Labels
Erik Schultheis
Mohammadreza Qaraei
Priyanshu Gupta
Rohit Babbar
14
6
0
01 Jul 2020
Learning Optimal Tree Models Under Beam Search
Learning Optimal Tree Models Under Beam Search
Jingwei Zhuo
Xinhang Li
Wei Dai
Ziru Xu
Han Li
Jian Xu
Kun Gai
27
57
0
27 Jun 2020
Multilabel Classification by Hierarchical Partitioning and
  Data-dependent Grouping
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru
S. Dash
A. Mazumdar
Oktay Gunluk
6
8
0
24 Jun 2020
Doubly-stochastic mining for heterogeneous retrieval
Doubly-stochastic mining for heterogeneous retrieval
A. S. Rawat
A. Menon
Andreas Veit
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
14
5
0
23 Apr 2020
Extreme Multi-label Classification from Aggregated Labels
Extreme Multi-label Classification from Aggregated Labels
Yanyao Shen
Hsiang-Fu Yu
Sujay Sanghavi
Inderjit Dhillon
16
8
0
01 Apr 2020
Classifier Chains: A Review and Perspectives
Classifier Chains: A Review and Perspectives
Jesse Read
Bernhard Pfahringer
G. Holmes
E. Frank
25
91
0
26 Dec 2019
Semi-supervised Vector-valued Learning: Improved Bounds and Algorithms
Semi-supervised Vector-valued Learning: Improved Bounds and Algorithms
Jian Li
Yong Liu
Weiping Wang
23
3
0
11 Sep 2019
Large-Scale Multi-Label Text Classification on EU Legislation
Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis
Manos Fergadiotis
Prodromos Malakasiotis
Ion Androutsopoulos
AILaw
16
212
0
05 Jun 2019
On the computational complexity of the probabilistic label tree
  algorithms
On the computational complexity of the probabilistic label tree algorithms
R. Busa-Fekete
Krzysztof Dembczyñski
Alexander Golovnev
Kalina Jasinska
Mikhail Kuznetsov
M. Sviridenko
Chao Xu
TPM
29
3
0
01 Jun 2019
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
Maryam Majzoubi
A. Choromańska
17
11
0
24 May 2019
Taming Pretrained Transformers for Extreme Multi-label Text
  Classification
Taming Pretrained Transformers for Extreme Multi-label Text Classification
Wei-Cheng Chang
Hsiang-Fu Yu
Kai Zhong
Yiming Yang
Inderjit Dhillon
25
20
0
07 May 2019
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label
  Classification
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification
Sujay Khandagale
Han Xiao
Rohit Babbar
BDL
19
155
0
17 Apr 2019
A Survey on Multi-output Learning
A Survey on Multi-output Learning
Donna Xu
Yaxin Shi
Ivor W. Tsang
Yew-Soon Ong
Chen Gong
Xiaobo Shen
19
5
0
02 Jan 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for
  High-Performance Extreme Multi-Label Text Classification
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Rafael M. O. Cruz
Zihan Zhang
R. Sabourin
Suyang Dai
Hiroshi Mamitsuka
Shanfeng Zhu
VLM
30
250
0
01 Nov 2018
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