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A Mutual Information Maximization Perspective of Language Representation
  Learning

A Mutual Information Maximization Perspective of Language Representation Learning

18 October 2019
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
    SSL
ArXivPDFHTML

Papers citing "A Mutual Information Maximization Perspective of Language Representation Learning"

37 / 37 papers shown
Title
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
40
0
0
23 Dec 2024
Separating common from salient patterns with Contrastive Representation
  Learning
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSL
DRL
46
1
0
19 Feb 2024
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Wenyu Zhu
Hao Wang
Yuchen Zhou
Jiaming Wang
Zihan Sha
Zeyu Gao
Chao Zhang
32
10
0
24 Aug 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text
  Classification
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Kuan-Yu Chen
Cheng Li
Kuo-Jung Lee
28
1
0
12 Jul 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual
  Topic Modeling
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Xiaobao Wu
Xinshuai Dong
Thong Nguyen
Chaoqun Liu
Liangming Pan
Anh Tuan Luu
28
23
0
07 Apr 2023
MCP: Self-supervised Pre-training for Personalized Chatbots with
  Multi-level Contrastive Sampling
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Zhaoheng Huang
Zhicheng Dou
Yutao Zhu
Zhengyi Ma
42
8
0
17 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
A. Younes
Simone Schaub-Meyer
Georgia Chalvatzaki
SSL
33
0
0
30 Sep 2022
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment
  Analysis
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
Wei Chen
Jinglong Du
Zhao Zhang
Fuzhen Zhuang
Zhongshi He
20
6
0
24 Aug 2022
RevUp: Revise and Update Information Bottleneck for Event Representation
RevUp: Revise and Update Information Bottleneck for Event Representation
Mehdi Rezaee
Francis Ferraro
27
0
0
24 May 2022
Statistical applications of contrastive learning
Statistical applications of contrastive learning
Michael U. Gutmann
Steven Kleinegesse
Benjamin Rhodes
21
7
0
29 Apr 2022
Cross-Lingual Phrase Retrieval
Cross-Lingual Phrase Retrieval
Heqi Zheng
Xiao Zhang
Zewen Chi
Heyan Huang
T. Yan
Tian Lan
Wei Wei
Xian-Ling Mao
RALM
LRM
32
3
0
19 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
Learning to Generalize to More: Continuous Semantic Augmentation for
  Neural Machine Translation
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Rongxiang Weng
Weihua Luo
Jun Xie
Rong Jin
CLL
17
24
0
14 Apr 2022
Contextual Representation Learning beyond Masked Language Modeling
Contextual Representation Learning beyond Masked Language Modeling
Zhiyi Fu
Wangchunshu Zhou
Jingjing Xu
Hao Zhou
Lei Li
28
25
0
08 Apr 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Anton van den Hengel
Louis-Philippe Morency
Ruslan Salakhutdinov
19
25
0
11 Feb 2022
Representation Learning for Conversational Data using Discourse Mutual
  Information Maximization
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Bishal Santra
Sumegh Roychowdhury
Aishik Mandal
Vasu Gurram
Atharva Naik
Manish Gupta
Pawan Goyal
SSL
16
4
0
04 Dec 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
Improving Multimodal fusion via Mutual Dependency Maximisation
Pierre Colombo
E. Chapuis
Matthieu Labeau
Chloé Clavel
13
30
0
31 Aug 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
Akm Mahbubur Rahman
A. Ali
DRL
25
0
0
29 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
27
5
0
27 Aug 2021
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for
  Caregivers
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
Lu Wang
Munif Ishad Mujib
Jake Williams
G. Demiris
Jina Huh-Yoo
AI4MH
27
32
0
28 Jul 2021
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq R. Joty
Caiming Xiong
S. Hoi
FaML
56
1,886
0
16 Jul 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
37
815
0
14 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel
  Contrast
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Wei Zhuo
Guang Tan
SSL
19
0
0
07 Jun 2021
CLEVE: Contrastive Pre-training for Event Extraction
CLEVE: Contrastive Pre-training for Event Extraction
Ziqi Wang
Xiaozhi Wang
Xu Han
Yankai Lin
Lei Hou
Zhiyuan Liu
Peng Li
Juan-Zi Li
Jie Zhou
34
116
0
30 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
64
96
0
17 May 2021
Composable Augmentation Encoding for Video Representation Learning
Composable Augmentation Encoding for Video Representation Learning
Chen Sun
Arsha Nagrani
Yonglong Tian
Cordelia Schmid
SSL
AI4TS
32
17
0
01 Apr 2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
Vassilina Nikoulina
Maxat Tezekbayev
Nuradil Kozhakhmet
Madina Babazhanova
Matthias Gallé
Z. Assylbekov
34
8
0
02 Mar 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
90
90
0
25 Feb 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained
  Language Models via Contrastive Learning
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin
Yankai Lin
Ryuichi Takanobu
Zhiyuan Liu
Peng Li
Heng Ji
Minlie Huang
Maosong Sun
Jie Zhou
52
125
0
30 Dec 2020
InfoBERT: Improving Robustness of Language Models from An Information
  Theoretic Perspective
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Bo-wen Li
Jingjing Liu
AAML
43
113
0
05 Oct 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
28
781
0
18 Aug 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
44
1,586
0
15 Jun 2020
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual
  Representations
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi
Osvald Nitski
Bo Wang
Gary D. Bader
SSL
19
489
0
05 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient
  Language Processing
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai
Guokun Lai
Yiming Yang
Quoc V. Le
48
229
0
05 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
39
1,305
0
20 May 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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