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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"

50 / 105 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
Leveraging Superfluous Information in Contrastive Representation
  Learning
Leveraging Superfluous Information in Contrastive Representation Learning
Xuechu Yu
SSL
32
1
0
19 Aug 2024
Pacer and Runner: Cooperative Learning Framework between Single- and
  Cross-Domain Sequential Recommendation
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
Chung Park
Taesan Kim
Hyungjun Yoon
Junui Hong
Yelim Yu
Mincheol Cho
Minsung Choi
Jaegul Choo
33
4
0
15 Jul 2024
Representation Learning with Conditional Information Flow Maximization
Representation Learning with Conditional Information Flow Maximization
Dou Hu
Lingwei Wei
Wei Zhou
Songlin Hu
SSL
45
1
0
08 Jun 2024
Improving Group Robustness on Spurious Correlation Requires Preciser
  Group Inference
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han
Difan Zou
AAML
34
3
0
22 Apr 2024
Robust Graph Structure Learning under Heterophily
Robust Graph Structure Learning under Heterophily
Xuanting Xie
Zhao Kang
Wenyu Chen
44
3
0
06 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
36
9
0
27 Feb 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
Machine Unlearning for Image-to-Image Generative Models
Machine Unlearning for Image-to-Image Generative Models
Guihong Li
Hsiang Hsu
Chun-Fu Chen
R. Marculescu
MU
VLM
70
25
0
01 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 Perspective
Alexander H. Liu
Sung-Lin Yeh
James R. Glass
SSL
24
3
0
16 Jan 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal
  Perspective
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho
Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
23
5
0
21 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
Hiroya Kato
Kento Hasegawa
Seira Hidano
Kazuhide Fukushima
AAML
32
0
0
12 Dec 2023
Prompt-based Logical Semantics Enhancement for Implicit Discourse
  Relation Recognition
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
Chenxu Wang
Ping Jian
Mu Huang
11
5
0
01 Nov 2023
Understanding Contrastive Learning via Distributionally Robust
  Optimization
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
32
24
0
17 Oct 2023
Self-supervised Representation Learning From Random Data Projectors
Self-supervised Representation Learning From Random Data Projectors
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
George Stein
Xiao Shi Huang
Xiaochen Zhang
M. Volkovs
32
10
0
11 Oct 2023
Gene-induced Multimodal Pre-training for Image-omic Classification
Gene-induced Multimodal Pre-training for Image-omic Classification
Ting Jin
Xingran Xie
Renjie Wan
Qingli Li
Yan Wang
AI4CE
44
11
0
06 Sep 2023
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
Multimodal Molecular Pretraining via Modality Blending
Multimodal Molecular Pretraining via Modality Blending
Qiying Yu
Yudi Zhang
Yuyan Ni
Shi Feng
Yanyan Lan
Hao Zhou
Jingjing Liu
21
13
0
12 Jul 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
Learning Unnormalized Statistical Models via Compositional Optimization
Learning Unnormalized Statistical Models via Compositional Optimization
Wei Jiang
Jiayu Qin
Lingyu Wu
Changyou Chen
Tianbao Yang
Lijun Zhang
28
3
0
13 Jun 2023
Enhancing the Unified Streaming and Non-streaming Model with Contrastive
  Learning
Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning
Yuting Yang
Yuke Li
Binbin Du
AI4TS
33
0
0
01 Jun 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
20
5
0
24 May 2023
A Simplified Framework for Contrastive Learning for Node Representations
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong
Huy Tran
Claire Donnat
SSL
19
1
0
01 May 2023
Improving Items and Contexts Understanding with Descriptive Graph for
  Conversational Recommendation
Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation
H. Dao
Dung D. Le
C. Chu
28
2
0
11 Apr 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
33
23
0
07 Apr 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive
  Learning
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo
Yifei Wang
Yisen Wang
34
25
0
02 Mar 2023
Multi-Task Self-Supervised Time-Series Representation Learning
Multi-Task Self-Supervised Time-Series Representation Learning
Heejeong Choi
Pilsung Kang
AI4TS
SSL
52
11
0
02 Mar 2023
Adapting a Language Model While Preserving its General Knowledge
Adapting a Language Model While Preserving its General Knowledge
Zixuan Ke
Yijia Shao
Haowei Lin
Hu Xu
Lei Shu
Bin Liu
KELM
CLL
VLM
39
20
0
21 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
31
124
0
13 Jan 2023
What Makes for Good Tokenizers in Vision Transformer?
What Makes for Good Tokenizers in Vision Transformer?
Shengju Qian
Yi Zhu
Wenbo Li
Mu Li
Jiaya Jia
ViT
37
14
0
21 Dec 2022
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
50
8
0
17 Oct 2022
Increasing Visual Awareness in Multimodal Neural Machine Translation
  from an Information Theoretic Perspective
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective
Baijun Ji
Tong Zhang
Yicheng Zou
Bojie Hu
Sitian Shen
25
12
0
16 Oct 2022
How Mask Matters: Towards Theoretical Understandings of Masked
  Autoencoders
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
Qi Zhang
Yifei Wang
Yisen Wang
25
73
0
15 Oct 2022
Multi-Modal Recommendation System with Auxiliary Information
Multi-Modal Recommendation System with Auxiliary Information
Mufhumudzi Muthivhi
Terence L van Zyl
Hairong Wang
8
2
0
13 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
SPOT: Knowledge-Enhanced Language Representations for Information
  Extraction
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
Jiacheng Li
Yannis Katsis
Tyler Baldwin
Ho-Cheol Kim
Andrew Bartko
Julian McAuley
Chun-Nan Hsu
30
15
0
20 Aug 2022
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic
  Response Generation
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
Jinfeng Zhou
Chujie Zheng
Bo Wang
Zheng Zhang
Minlie Huang
26
29
0
18 Aug 2022
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal
  Pre-training
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
Yan Zeng
Wangchunshu Zhou
Ao Luo
Ziming Cheng
Xinsong Zhang
VLM
27
30
0
01 Jun 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
Hyperspectral Image Classification With Contrastive Graph Convolutional
  Network
Hyperspectral Image Classification With Contrastive Graph Convolutional Network
Wentao Yu
Sheng Wan
Guangyu Li
Jian Yang
Chen Gong
43
25
0
11 May 2022
Statistical applications of contrastive learning
Statistical applications of contrastive learning
Michael U. Gutmann
Steven Kleinegesse
Benjamin Rhodes
24
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
21
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
Decentralized Collaborative Learning Framework for Next POI
  Recommendation
Decentralized Collaborative Learning Framework for Next POI Recommendation
Jing Long
Tong Chen
Nguyen Quoc Viet Hung
Hongzhi Yin
25
61
0
30 Mar 2022
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained
  Language Models
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models
Deming Ye
Yankai Lin
Peng Li
Maosong Sun
Zhiyuan Liu
KELM
11
11
0
27 Feb 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
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
24
4
0
04 Dec 2021
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