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Data-Efficient Image Recognition with Contrastive Predictive Coding

Data-Efficient Image Recognition with Contrastive Predictive Coding

22 May 2019
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
    SSL
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Papers citing "Data-Efficient Image Recognition with Contrastive Predictive Coding"

50 / 604 papers shown
Title
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
39
10
0
31 Mar 2024
On Pretraining Data Diversity for Self-Supervised Learning
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Hammoud
Tuhin Das
Fabio Pizzati
Philip H. S. Torr
Adel Bibi
Bernard Ghanem
100
2
0
20 Mar 2024
Computer User Interface Understanding. A New Dataset and a Learning
  Framework
Computer User Interface Understanding. A New Dataset and a Learning Framework
Andrés Munoz
Daniel Borrajo
27
0
0
15 Mar 2024
Self-Supervised Learning for Time Series: Contrastive or Generative?
Self-Supervised Learning for Time Series: Contrastive or Generative?
Ziyu Liu
Azadeh Alavi
Minyi Li
Xiang Zhang
AI4TS
48
7
0
14 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware
  Contrastive Learning
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Bingqian Lin
Yanxin Long
Yi Zhu
Fengda Zhu
Xiaodan Liang
QiXiang Ye
Liang Lin
29
5
0
09 Mar 2024
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Morningstar
Alex Bijamov
Chris Duvarney
Luke Friedman
N. Kalibhat
...
Philip Mansfield
Renan A. Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
SSL
27
10
0
08 Mar 2024
Poly-View Contrastive Learning
Poly-View Contrastive Learning
Amitis Shidani
Devon Hjelm
Jason Ramapuram
Russ Webb
Eeshan Gunesh Dhekane
Dan Busbridge
VLM
SSL
34
4
0
08 Mar 2024
Modality-Agnostic Structural Image Representation Learning for
  Deformable Multi-Modality Medical Image Registration
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Tony C. W. Mok
Zi Li
Yunhao Bai
Jianpeng Zhang
Wei Liu
...
D. Jin
Yu Shi
Xiaoli Yin
Le Lu
Ling Zhang
43
7
0
29 Feb 2024
Unsupervised learning based object detection using Contrastive Learning
Unsupervised learning based object detection using Contrastive Learning
Chandan Kumar
Jansel Herrera-Gerena
John Just
Matthew J. Darr
Ali Jannesari
SSL
51
1
0
21 Feb 2024
Bayesian Neural Networks with Domain Knowledge Priors
Bayesian Neural Networks with Domain Knowledge Priors
Dylan Sam
Rattana Pukdee
Daniel P. Jeong
Yewon Byun
J. Zico Kolter
BDL
UQCV
38
9
0
20 Feb 2024
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning
fff-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
Yiwei Lu
Guojun Zhang
Sun Sun
Hongyu Guo
Yaoliang Yu
VLM
23
5
0
15 Feb 2024
Intriguing Differences Between Zero-Shot and Systematic Evaluations of
  Vision-Language Transformer Models
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models
Shaeke Salman
M. Shams
Xiuwen Liu
Lingjiong Zhu
VLM
19
2
0
13 Feb 2024
One Train for Two Tasks: An Encrypted Traffic Classification Framework
  Using Supervised Contrastive Learning
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
Haozhen Zhang
Xi Xiao
Le Yu
Qing Li
Z. Ling
Ye Zhang
22
2
0
12 Feb 2024
Auxiliary Reward Generation with Transition Distance Representation
  Learning
Auxiliary Reward Generation with Transition Distance Representation Learning
Siyuan Li
Shijie Han
Yingnan Zhao
B. Liang
Peng Liu
OffRL
38
0
0
12 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask
  Representation via Temporal Action-Driven Contrastive Loss
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
32
5
0
09 Feb 2024
Statistical Test for Attention Map in Vision Transformer
Statistical Test for Attention Map in Vision Transformer
Tomohiro Shiraishi
Daiki Miwa
Teruyuki Katsuoka
Vo Nguyen Le Duy
Koichi Taji
Ichiro Takeuchi
32
5
0
16 Jan 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie M. Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
67
1
0
15 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
30
12
0
09 Jan 2024
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
Arjun Bhalla
Daniel Levenson
Jan Bernhard
Anton Abilov
18
0
0
06 Jan 2024
Subjective and Objective Analysis of Indian Social Media Video Quality
Subjective and Objective Analysis of Indian Social Media Video Quality
Sandeep Mishra
Mukul Jha
A. Bovik
20
0
0
05 Jan 2024
The Right Losses for the Right Gains: Improving the Semantic Consistency
  of Deep Text-to-Image Generation with Distribution-Sensitive Losses
The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses
Mahmoud Ahmed
Omer Moussa
Ismail Shaheen
Mohamed S. Abdelfattah
Amr Abdalla
Marwan Eid
Hesham M. Eraqi
Mohamed N. Moustafa
21
0
0
18 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel
  Size might be All You Need
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
Tianjin Huang
Tianlong Chen
Zhangyang Wang
Shiwei Liu
32
1
0
09 Dec 2023
Learning Anatomically Consistent Embedding for Chest Radiography
Learning Anatomically Consistent Embedding for Chest Radiography
Ziyu Zhou
Haozhe Luo
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
SSL
9
5
0
01 Dec 2023
A-JEPA: Joint-Embedding Predictive Architecture Can Listen
A-JEPA: Joint-Embedding Predictive Architecture Can Listen
Zhengcong Fei
Mingyuan Fan
Junshi Huang
25
17
0
27 Nov 2023
Understanding Self-Supervised Features for Learning Unsupervised
  Instance Segmentation
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
SSL
20
3
0
24 Nov 2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess
  semi-supervised spectral representation learning and pixel-wise
  classification techniques
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques
R. Thoreau
Laurent Risser
V. Achard
Béatrice Berthelot
X. Briottet
27
4
0
15 Nov 2023
Contrastive Learning for Multi-Object Tracking with Transformers
Contrastive Learning for Multi-Object Tracking with Transformers
Pierre-François De Plaen
N. Marinello
M. Proesmans
Tinne Tuytelaars
Luc Van Gool
VOT
29
6
0
14 Nov 2023
Contrastive Learning of View-Invariant Representations for Facial
  Expressions Recognition
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition
Shuvendu Roy
Ali Etemad
39
2
0
12 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
25
0
0
09 Nov 2023
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual
  Variational Generative Adversarial Network
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network
Haili Sun
Yan-Ming Huang
Lansheng Han
Cai Fu
Hongle Liu
Xiang Long
21
9
0
04 Nov 2023
Contrastive Difference Predictive Coding
Contrastive Difference Predictive Coding
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TS
OffRL
24
11
0
31 Oct 2023
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in
  Time-series Load Profiles
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles
Yi Hu
Kai Ye
Hyeonjin Kim
Ning Lu
16
5
0
26 Oct 2023
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph
  prediction
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
29
9
0
25 Oct 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
32
1
0
21 Oct 2023
Unsupervised Learning of Object-Centric Embeddings for Cell Instance
  Segmentation in Microscopy Images
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
Steffen Wolf
Manan Lalit
Henry Westmacott
Katie McDole
Jan Funke
OCL
19
6
0
12 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks
Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan
Moksh Jain
Kanika Madan
Yoshua Bengio
44
13
0
05 Oct 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
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney
M. C. Hughes
23
3
0
25 Sep 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Guoxi Huang
Hongtao Fu
A. Bors
26
7
0
25 Sep 2023
Sequential Action-Induced Invariant Representation for Reinforcement
  Learning
Sequential Action-Induced Invariant Representation for Reinforcement Learning
Dayang Liang
Qihang Chen
Yunlong Liu
24
4
0
22 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
T. Luu
Thang Vu
Chang-Dong Yoo
23
9
0
21 Sep 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based
  Agile Flight
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
Jiaxu Xing
L. Bauersfeld
Yunlong Song
Chunwei Xing
Davide Scaramuzza
20
12
0
18 Sep 2023
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
Anh Pham Thi Minh
An Duc Nguyen
Georgios Tzimiropoulos
VPVLM
VLM
19
3
0
14 Sep 2023
Semantic reconstruction of continuous language from MEG signals
Semantic reconstruction of continuous language from MEG signals
Bo Wang
Xiran Xu
Longxiang Zhang
Boda Xiao
Xihong Wu
J. Chen
21
2
0
14 Sep 2023
Unsupervised Gaze-aware Contrastive Learning with Subject-specific
  Condition
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition
Li-Huan Du
Xucong Zhang
Guohao Lan
CVBM
20
1
0
08 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for
  Preventing Posterior Collapse
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Fotios Lygerakis
Elmar Rueckert
DRL
11
4
0
06 Sep 2023
Contrastive Learning as Kernel Approximation
Contrastive Learning as Kernel Approximation
Konstantinos Christopher Tsiolis
SSL
18
0
0
06 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
28
2
0
30 Aug 2023
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