ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.11464
  4. Cited By
Self-Supervised Learning via Maximum Entropy Coding

Self-Supervised Learning via Maximum Entropy Coding

20 October 2022
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
    SSL
ArXivPDFHTML

Papers citing "Self-Supervised Learning via Maximum Entropy Coding"

27 / 27 papers shown
Title
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
Patrik Reizinger
Randall Balestriero
David Klindt
Wieland Brendel
40
0
0
17 Apr 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
Bowen Yuan
Yuxia Fu
Zijian Wang
Yadan Luo
Zi Huang
DD
70
0
0
18 Mar 2025
Rethinking Generalizability and Discriminability of Self-Supervised
  Learning from Evolutionary Game Theory Perspective
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li
Zehua Zang
Qirui Ji
Chuxiong Sun
Wenwen Qiang
Junge Zhang
Changwen Zheng
Fuchun Sun
Hui Xiong
SSL
69
0
0
30 Nov 2024
Idempotent Unsupervised Representation Learning for Skeleton-Based
  Action Recognition
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
Lilang Lin
Lehong Wu
Jiahang Zhang
Jiaying Liu
27
0
0
27 Oct 2024
Explicit Mutual Information Maximization for Self-Supervised Learning
Explicit Mutual Information Maximization for Self-Supervised Learning
Lele Chang
Peilin Liu
Qinghai Guo
Fei Wen
SSL
21
0
0
07 Sep 2024
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained
  Trajectory-Mamba
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba
Yan Lin
Yichen Liu
Zeyu Zhou
Haomin Wen
Erwen Zheng
S. Guo
Youfang Lin
Huaiyu Wan
Mamba
40
2
0
09 Aug 2024
Dual-pronged deep learning preprocessing on heterogeneous platforms with
  CPU, GPU and CSD
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD
Jia Wei
Xingjun Zhang
Witold Pedrycz
Longxiang Wang
Jie Zhao
31
0
0
17 Apr 2024
Self-Supervised Representation Learning with Meta Comprehensive
  Regularization
Self-Supervised Representation Learning with Meta Comprehensive Regularization
Huijie Guo
Ying Ba
Jie Hu
Lingyu Si
Wenwen Qiang
Lei Shi
SSL
31
5
0
03 Mar 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised
  Class-Imbalanced Learning
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi
Hyun-Dong Lee
Dong-Sig Han
Junseok Park
Heeyeon Koo
Byoung-Tak Zhang
30
1
0
14 Feb 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Zhongang Qi
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
35
24
0
28 Jan 2024
Self-Supervised Learning of Representations for Space Generates
  Multi-Modular Grid Cells
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Rylan Schaeffer
Mikail Khona
Tzuhsuan Ma
Cristobal Eyzaguirre
Sanmi Koyejo
Ila Rani Fiete
SSL
29
20
0
04 Nov 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised Learning
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
25
13
0
29 Sep 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Zeen Song
Xingzhe Su
Jingyao Wang
Wenwen Qiang
Changwen Zheng
Fuchun Sun
33
3
0
18 Jul 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Yadan Luo
Zhuoxiao Chen
Zhenying Fang
Zheng-Wei Zhang
Zi Huang
Mahsa Baktashmotlagh
3DPC
18
12
0
16 Jul 2023
Reinforced Disentanglement for Face Swapping without Skip Connection
Reinforced Disentanglement for Face Swapping without Skip Connection
Xiaohang Ren
Xingyu Chen
Pengfei Yao
Harry Shum
Baoyuan Wang
CVBM
32
9
0
16 Jul 2023
On-Device Constrained Self-Supervised Speech Representation Learning for
  Keyword Spotting via Knowledge Distillation
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Gene-Ping Yang
Yue Gu
Qingming Tang
Dongsu Du
Yuzong Liu
20
5
0
06 Jul 2023
Matrix Information Theory for Self-Supervised Learning
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
42
16
0
27 May 2023
Learning Symbolic Representations Through Joint GEnerative and
  DIscriminative Training
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
Emanuele Sansone
Robin Manhaeve
BDL
FedML
GAN
23
5
0
22 Apr 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
17
9
0
27 Dec 2022
Pre-training General Trajectory Embeddings with Maximum Multi-view
  Entropy Coding
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
Yan Lin
Huaiyu Wan
S. Guo
Jilin Hu
Christian S. Jensen
Youfang Lin
AI4TS
26
19
0
29 Jul 2022
Supporting Vision-Language Model Inference with Confounder-pruning
  Knowledge Prompt
Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt
Jiangmeng Li
Wenyi Mo
Wenwen Qiang
Bing-Huang Su
Changwen Zheng
Hui Xiong
Ji-Rong Wen
VLM
16
0
0
23 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
62
48
0
27 Sep 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
117
187
0
02 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
452
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,773
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1