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Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey

Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey

18 April 2022
Kento Nozawa
Issei Sato
    AI4TS
ArXivPDFHTML

Papers citing "Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey"

14 / 14 papers shown
Title
Offline Reinforcement Learning from Datasets with Structured
  Non-Stationarity
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
Johannes Ackermann
Takayuki Osa
Masashi Sugiyama
OffRL
21
2
0
23 May 2024
What Makes Data Suitable for a Locally Connected Neural Network? A
  Necessary and Sufficient Condition Based on Quantum Entanglement
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Yotam Alexander
Nimrod De La Vega
Noam Razin
Nadav Cohen
11
4
0
20 Mar 2023
Evaluating Representations with Readout Model Switching
Evaluating Representations with Readout Model Switching
Yazhe Li
J. Bornschein
Marcus Hutter
20
0
0
19 Feb 2023
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
23
25
0
10 Oct 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
258
7,337
0
11 Nov 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
59
90
0
25 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
278
0
12 Feb 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
115
0
21 Jan 2021
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
50
22
0
16 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
149
670
0
10 Oct 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,877
0
02 Feb 2020
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
198
163
0
18 Oct 2019
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled Data
Han Bao
Gang Niu
Masashi Sugiyama
165
85
0
12 Feb 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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