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Information Theoretic Co-Training
v1v2 (latest)

Information Theoretic Co-Training

21 February 2018
David A. McAllester
ArXiv (abs)PDFHTML

Papers citing "Information Theoretic Co-Training"

13 / 13 papers shown
Inducing Systematicity in Transformers by Attending to Structurally
  Quantized Embeddings
Inducing Systematicity in Transformers by Attending to Structurally Quantized EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yichen Jiang
Xiang Zhou
Mohit Bansal
275
1
0
09 Feb 2024
Revisiting Self-supervised Learning of Speech Representation from a
  Mutual Information Perspective
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information PerspectiveIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Alexander H. Liu
Sung-Lin Yeh
James R. Glass
SSL
215
4
0
16 Jan 2024
Review of Unsupervised POS Tagging and Its Implications on Language
  Acquisition
Review of Unsupervised POS Tagging and Its Implications on Language Acquisition
Niels Dickson
67
0
0
15 Dec 2023
MICO: Selective Search with Mutual Information Co-training
MICO: Selective Search with Mutual Information Co-trainingInternational Conference on Computational Linguistics (COLING), 2022
Zhanyu Wang
Xiao Zhang
Hyokun Yun
C. Teo
Trishul Chilimbi
VLM
146
1
0
09 Sep 2022
Autoregressive Co-Training for Learning Discrete Speech Representations
Autoregressive Co-Training for Learning Discrete Speech RepresentationsInterspeech (Interspeech), 2022
Sung-Lin Yeh
Hao Tang
SSL
241
8
0
29 Mar 2022
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
181
34
0
25 Jun 2021
Learning Discrete Structured Representations by Adversarially Maximizing
  Mutual Information
Learning Discrete Structured Representations by Adversarially Maximizing Mutual InformationInternational Conference on Machine Learning (ICML), 2020
K. Stratos
Sam Wiseman
SSLDRL
119
8
0
08 Apr 2020
Calibration, Entropy Rates, and Memory in Language Models
Calibration, Entropy Rates, and Memory in Language ModelsInternational Conference on Machine Learning (ICML), 2019
M. Braverman
Xinyi Chen
Sham Kakade
Karthik Narasimhan
Cyril Zhang
Yi Zhang
234
44
0
11 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of RepresentationsNeural Information Processing Systems (NeurIPS), 2019
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
388
159
0
28 May 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with
  Dynamical Components Analysis
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisNeural Information Processing Systems (NeurIPS), 2019
David G. Clark
J. Livezey
K. Bouchard
AI4TS
216
25
0
23 May 2019
Formal Limitations on the Measurement of Mutual Information
Formal Limitations on the Measurement of Mutual Information
David A. McAllester
K. Stratos
SSL
476
316
0
10 Nov 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech InductionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
K. Stratos
332
28
0
20 Apr 2018
Water from Two Rocks: Maximizing the Mutual Information
Water from Two Rocks: Maximizing the Mutual Information
Yuqing Kong
Grant Schoenebeck
180
42
0
24 Feb 2018
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