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Logarithmic Time Online Multiclass prediction
v1v2v3v4v5v6v7v8v9v10v11v12v13 (latest)

Logarithmic Time Online Multiclass prediction

Neural Information Processing Systems (NeurIPS), 2014
6 June 2014
A. Choromańska
John Langford
ArXiv (abs)PDFHTML

Papers citing "Logarithmic Time Online Multiclass prediction"

31 / 31 papers shown
Label Embedding via Low-Coherence Matrices
Label Embedding via Low-Coherence Matrices
Jianxin Zhang
Clayton Scott
391
0
0
31 May 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 AggregationInternational Conference on Machine Learning (ICML), 2023
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
267
11
0
21 May 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative
  Mining
Improving Dual-Encoder Training through Dynamic Indexes for Negative MiningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Nicholas Monath
Manzil Zaheer
Kelsey R. Allen
Andrew McCallum
305
7
0
27 Mar 2023
Federated Multiple Label Hashing (FedMLH): Communication Efficient
  Federated Learning on Extreme Classification Tasks
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Nastaran Moradzadeh Farid
Chen Dun
Maryam Saeedi Fard
A. Nickabadi
Anshumali Shrivastava
FedML
167
4
0
23 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
356
130
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
221
11
0
24 Jun 2021
A Tale of Two Efficient and Informative Negative Sampling Distributions
A Tale of Two Efficient and Informative Negative Sampling DistributionsInternational Conference on Machine Learning (ICML), 2020
Shabnam Daghaghi
Tharun Medini
Nicholas Meisburger
Beidi Chen
Mengnan Zhao
Anshumali Shrivastava
225
11
0
31 Dec 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
211
9
0
08 Jul 2020
Extreme Classification in Log Memory using Count-Min Sketch: A Case
  Study of Amazon Search with 50M Products
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M ProductsNeural Information Processing Systems (NeurIPS), 2019
Tharun Medini
Qixuan Huang
Yiqiu Wang
Vijai Mohan
Anshumali Shrivastava
293
72
0
28 Oct 2019
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
Ziyu Liu
Guolin Ke
Jiang Bian
Tie-Yan Liu
134
1
0
25 Aug 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
483
12
0
24 May 2019
Joint Optimization of Tree-based Index and Deep Model for Recommender
  Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Ziru Xu
Daqing Chang
Xinhang Li
Pengye Zhang
Xiang Li
Jie He
Han Li
Jian Xu
Kun Gai
200
113
0
19 Feb 2019
A no-regret generalization of hierarchical softmax to extreme
  multi-label classification
A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch
Kalina Jasinska
Mikhail Kuznetsov
R. Busa-Fekete
Krzysztof Dembczyñski
364
117
0
27 Oct 2018
Extreme Classification in Log Memory
Extreme Classification in Log Memory
Qixuan Huang
Yiqiu Wang
Tharun Medini
Anshumali Shrivastava
VLM
204
3
0
09 Oct 2018
On the Calibration of Nested Dichotomies for Large Multiclass Tasks
On the Calibration of Nested Dichotomies for Large Multiclass Tasks
Tim Leathart
E. Frank
Bernhard Pfahringer
G. Holmes
225
1
0
08 Sep 2018
Contextual Memory Trees
Contextual Memory TreesInternational Conference on Machine Learning (ICML), 2018
Wen Sun
A. Beygelzimer
Hal Daumé
John Langford
Paul Mineiro
257
9
0
17 Jul 2018
Efficient Loss-Based Decoding on Graphs For Extreme Classification
Efficient Loss-Based Decoding on Graphs For Extreme Classification
Itay Evron
E. Moroshko
K. Crammer
408
15
0
08 Mar 2018
Learning Tree-based Deep Model for Recommender Systems
Learning Tree-based Deep Model for Recommender Systems
Ziru Xu
Longji Xu
Pengye Zhang
Guozheng Li
Jie He
Han Li
Kun Gai
485
333
0
08 Jan 2018
Candidates vs. Noises Estimation for Large Multi-Class Classification
  Problem
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Lei Han
Yiheng Huang
Tong Zhang
180
3
0
02 Nov 2017
An Online Hierarchical Algorithm for Extreme Clustering
An Online Hierarchical Algorithm for Extreme Clustering
Ari Kobren
Nicholas Monath
A. Krishnamurthy
Andrew McCallum
272
13
0
06 Apr 2017
Aggressive Sampling for Multi-class to Binary Reduction with
  Applications to Text Classification
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text ClassificationNeural Information Processing Systems (NeurIPS), 2017
Bikash Joshi
Massih-Reza Amini
Ioannis Partalas
F. Iutzeler
Yury Maximov
MQ
392
16
0
23 Jan 2017
Distributed Optimization of Multi-Class SVMs
Distributed Optimization of Multi-Class SVMs
Maximilian Alber
Julian Zimmert
Ürün Dogan
Matthias Kirchler
VLM
236
14
0
25 Nov 2016
Log-time and Log-space Extreme Classification
Log-time and Log-space Extreme Classification
Kalina Jasinska
Nikos Karampatziakis
AI4TS
149
15
0
07 Nov 2016
Simultaneous Learning of Trees and Representations for Extreme
  Classification and Density Estimation
Simultaneous Learning of Trees and Representations for Extreme Classification and Density EstimationInternational Conference on Machine Learning (ICML), 2016
Yacine Jernite
A. Choromańska
David Sontag
321
38
0
14 Oct 2016
Logarithmic Time One-Against-Some
Logarithmic Time One-Against-Some
Hal Daumé
Nikos Karampatziakis
John Langford
Paul Mineiro
284
46
0
15 Jun 2016
On the boosting ability of top-down decision tree learning algorithm for
  multiclass classification
On the boosting ability of top-down decision tree learning algorithm for multiclass classification
A. Choromańska
K. Choromanski
Mariusz Bojarski
194
7
0
17 May 2016
A Hierarchical Spectral Method for Extreme Classification
A Hierarchical Spectral Method for Extreme Classification
Paul Mineiro
Nikos Karampatziakis
190
1
0
10 Nov 2015
Reinforced Decision Trees
Reinforced Decision Trees
Aurélia Léon
Ludovic Denoyer
107
1
0
05 May 2015
Fast Label Embeddings for Extremely Large Output Spaces
Fast Label Embeddings for Extremely Large Output SpacesInternational Conference on Learning Representations (ICLR), 2014
Paul Mineiro
Nikos Karampatziakis
250
29
0
30 Mar 2015
Scalable Multilabel Prediction via Randomized Methods
Scalable Multilabel Prediction via Randomized Methods
Nikos Karampatziakis
Paul Mineiro
275
7
0
09 Feb 2015
Learning Reductions that Really Work
Learning Reductions that Really Work
A. Beygelzimer
Hal Daumé
John Langford
Paul Mineiro
AI4CE
283
24
0
09 Feb 2015
1
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