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. 1805.01978
  4. Cited By
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 1,940 papers shown
Title
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
ViTTPM
633
7,877
0
11 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCLSSL
239
62
0
11 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
172
15
0
11 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
65
10
0
09 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
111
64
0
09 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
62
6
0
04 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature
  Representation
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation
Mrinal Anand
Aditya Garg
SSL
44
2
0
03 Nov 2021
Meta-Learning to Improve Pre-Training
Meta-Learning to Improve Pre-Training
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
David Duvenaud
79
31
0
02 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
98
115
0
01 Nov 2021
Estimating and Maximizing Mutual Information for Knowledge Distillation
Estimating and Maximizing Mutual Information for Knowledge Distillation
A. Shrivastava
Yanjun Qi
Vicente Ordonez
56
6
0
29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
90
69
0
28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
86
29
0
27 Oct 2021
Towards artificial general intelligence via a multimodal foundation
  model
Towards artificial general intelligence via a multimodal foundation model
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Guoxing Yang
Yuqi Huo
...
Ruihua Song
Xin Gao
Tao Xiang
Haoran Sun
Jiling Wen
AI4CELRM
90
229
0
27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
82
71
0
27 Oct 2021
Physically Explainable CNN for SAR Image Classification
Physically Explainable CNN for SAR Image Classification
Zhongling Huang
Xiwen Yao
Ying Liu
C. Dumitru
Mihai Datcu
Junwei Han
PINN
69
61
0
27 Oct 2021
Directional Self-supervised Learning for Heavy Image Augmentations
Directional Self-supervised Learning for Heavy Image Augmentations
Yalong Bai
Yifan Yang
Wei Zhang
Tao Mei
40
20
0
26 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
64
2
0
25 Oct 2021
MTGLS: Multi-Task Gaze Estimation with Limited Supervision
MTGLS: Multi-Task Gaze Estimation with Limited Supervision
Abdulaziz Shamsah
Munawar Hayat
Seth Hutchinson
Jarrod Knibbe
CVBM
104
21
0
23 Oct 2021
A Simple Baseline for Low-Budget Active Learning
A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi
Parsa Nooralinejad
Hamed Pirsiavash
97
20
0
22 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLMCLIP
314
104
0
21 Oct 2021
Each Attribute Matters: Contrastive Attention for Sentence-based Image
  Editing
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
Liuqing Zhao
Fan Lyu
Fuyuan Hu
Kaizhu Huang
Fenglei Xu
Linyan Li
38
1
0
21 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised
  Ensembles
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSLOOD
61
0
0
19 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
Guosheng Lin
VLM
108
14
0
19 Oct 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
102
10
0
18 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
72
8
0
18 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
63
11
0
18 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSLMQ
94
5
0
17 Oct 2021
Memory-augmented Adversarial Autoencoders for Multivariate Time-series
  Anomaly Detection with Deep Reconstruction and Prediction
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction
Qinfeng Xiao
Shikuan Shao
Jing Wang
AI4TS
34
7
0
15 Oct 2021
Understanding and Improving Robustness of Vision Transformers through
  Patch-based Negative Augmentation
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin
Chiyuan Zhang
Ting Chen
Balaji Lakshminarayanan
Alex Beutel
Xuezhi Wang
ViT
108
47
0
15 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
148
9
0
14 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
109
20
0
14 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
157
138
0
14 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLLSSL
143
117
0
13 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
Rong Jin
Yue Gao
SSL
147
41
0
12 Oct 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual
  Representation Learning
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge
Youwei Liang
Yibing Song
Jianbo Jiao
Jue Wang
Ping Luo
ViT
74
35
0
11 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li
Feng Liang
Lichen Zhao
Yufeng Cui
Wanli Ouyang
Jing Shao
F. Yu
Junjie Yan
VLMCLIP
165
458
0
11 Oct 2021
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Anton Chernyavskiy
Dmitry Ilvovsky
Pavel Kalinin
Preslav Nakov
65
8
0
10 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
91
126
0
10 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang
Xinyang Chen
Jianmin Wang
Mingsheng Long
55
1
0
09 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
131
33
0
08 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
158
248
0
08 Oct 2021
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual
  Information Maximization
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization
Robert Harb
Patrick Knobelreiter
SSL
76
22
0
07 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
247
224
0
07 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
265
32
0
06 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
118
35
0
06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
107
21
0
06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
140
53
0
06 Oct 2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image
  Segmentation
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
Devavrat Tomar
Behzad Bozorgtabar
M. Lortkipanidze
Guillaume Vray
Mohammad Saeed Rad
Jean-Philippe Thiran
61
21
0
05 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for
  Reinforcement Learning
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
71
2
0
02 Oct 2021
Self-supervised Secondary Landmark Detection via 3D Representation
  Learning
Self-supervised Secondary Landmark Detection via 3D Representation Learning
Praneet C Bala
Jan Zimmermann
H. Park
Benjamin Hayden
SSL
81
8
0
01 Oct 2021
Previous
123...252627...373839
Next