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Bonsai -- Diverse and Shallow Trees for Extreme Multi-label
  Classification
v1v2 (latest)

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

17 April 2019
Sujay Khandagale
Han Xiao
Rohit Babbar
    BDL
ArXiv (abs)PDFHTMLGithub (27★)

Papers citing "Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification"

20 / 70 papers shown
Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy
Top-kkk eXtreme Contextual Bandits with Arm Hierarchy
Rajat Sen
Alexander Rakhlin
Lexing Ying
Rahul Kidambi
Dean Phillips Foster
Daniel N. Hill
Inderjit Dhillon
188
10
0
15 Feb 2021
Pitfalls of Assessing Extracted Hierarchies for Multi-Class
  Classification
Pitfalls of Assessing Extracted Hierarchies for Multi-Class ClassificationPattern Recognition (Pattern Recogn.), 2021
P. D. Moral
Sławomir Nowaczyk
A. SantÁnna
Sepideh Pashami
152
5
0
26 Jan 2021
LightXML: Transformer with Dynamic Negative Sampling for
  High-Performance Extreme Multi-label Text Classification
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021
Ting Jiang
Deqing Wang
Leilei Sun
Huayi Yang
Zhengyang Zhao
Fuzhen Zhuang
VLM
345
162
0
09 Jan 2021
GNN-XML: Graph Neural Networks for Extreme Multi-label Text
  Classification
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification
Daoming Zong
Shiliang Sun
81
10
0
10 Dec 2020
Session-Aware Query Auto-completion using Extreme Multi-label Ranking
Session-Aware Query Auto-completion using Extreme Multi-label RankingKnowledge Discovery and Data Mining (KDD), 2020
Nishant Yadav
Rajat Sen
Daniel N. Hill
A. Mazumdar
Inderjit S. Dhillon
354
12
0
09 Dec 2020
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
470
331
0
23 Nov 2020
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
289
91
0
12 Oct 2020
Layer-wise Guided Training for BERT: Learning Incrementally Refined
  Document Representations
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations
Nikolaos Manginas
Ilias Chalkidis
Prodromos Malakasiotis
114
5
0
12 Oct 2020
An Empirical Study on Large-Scale Multi-Label Text Classification
  Including Few and Zero-Shot Labels
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ilias Chalkidis
Manos Fergadiotis
Sotiris Kotitsas
Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
VLMAI4TS
119
96
0
04 Oct 2020
Learning from eXtreme Bandit Feedback
Learning from eXtreme Bandit FeedbackAAAI Conference on Artificial Intelligence (AAAI), 2020
Romain Lopez
Inderjit S. Dhillon
Sai Li
OffRL
181
26
0
27 Sep 2020
Probabilistic Label Trees for Extreme Multi-label Classification
Probabilistic Label Trees for Extreme Multi-label Classification
Kalina Jasinska-Kobus
Marek Wydmuch
Krzysztof Dembczyñski
Mikhail Kuznetsov
R. Busa-Fekete
176
22
0
23 Sep 2020
Online probabilistic label trees
Online probabilistic label treesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Kalina Jasinska-Kobus
Marek Wydmuch
D. Thiruvenkatachari
Krzysztof Dembczyñski
VLM
161
9
0
08 Jul 2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic
  Label Clusters for Extreme Multi-label Text Classification
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
236
56
0
05 Jul 2020
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
180
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
210
65
0
27 Jun 2020
Multilabel Classification by Hierarchical Partitioning and
  Data-dependent Grouping
Multilabel Classification by Hierarchical Partitioning and Data-dependent GroupingNeural Information Processing Systems (NeurIPS), 2020
Shashanka Ubaru
S. Dash
A. Mazumdar
Oktay Gunluk
136
8
0
24 Jun 2020
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
204
0
0
17 Dec 2019
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
LdSM: Logarithm-depth Streaming Multi-label Decision TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Maryam Majzoubi
A. Choromańska
367
12
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
270
20
0
07 May 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
283
287
0
01 Nov 2018
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