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2104.13963
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Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
28 April 2021
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
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Papers citing
"Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples"
50 / 101 papers shown
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ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
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STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
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RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
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Sean Bell
AI4TS
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28 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
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Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
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Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSL
AI4TS
MDE
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318
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19 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
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Chunyuan Li
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Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
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Charles Blundell
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SSL
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Shai Bagon
Tamar Kashti
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Enrico Fini
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Elisa Ricci
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14
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Location-Aware Self-Supervised Transformers for Semantic Segmentation
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N. Houlsby
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ViT
16
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Hyerim Bae
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Parametric Classification for Generalized Category Discovery: A Baseline Study
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Bingchen Zhao
Xiaojuan Qi
30
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Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
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16 Nov 2022
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
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1
0
19 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
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The Hidden Uniform Cluster Prior in Self-Supervised Learning
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Randall Balestriero
Quentin Duval
Florian Bordes
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Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
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On the Importance of Calibration in Semi-supervised Learning
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Rumen Dangovski
Shivchander Sudalairaj
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Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
22
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Effective Self-supervised Pre-training on Low-compute Networks without Distillation
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F. Saleh
Brais Martínez
27
4
0
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Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
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Yuki M. Asano
Andrea Vedaldi
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21
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0
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Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
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11
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Semi-supervised Vision Transformers at Scale
Zhaowei Cai
Avinash Ravichandran
Paolo Favaro
Manchen Wang
Davide Modolo
Rahul Bhotika
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Stefano Soatto
ViT
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55
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11 Aug 2022
Augmentation Learning for Semi-Supervised Classification
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Pedro Alves Zipf
Quanfu Fan
Nina Shvetsova
Hilde Kuehne
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03 Aug 2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation
Tarun Kalluri
Astuti Sharma
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15
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Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTA
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24 Jul 2022
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting
Hao Liu
Bin Chen
Bo Wang
Chunpeng Wu
Feng Dai
Peng Wu
4
7
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12 Jul 2022
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz
Yannis Kalantidis
Alahari Karteek
Diane Larlus
SSL
OOD
LRM
17
28
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30 Jun 2022
Masked Siamese ConvNets
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Jiachen Zhu
Yann LeCun
SSL
35
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A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang
Jin Gao
Zeming Li
Jian-jun Sun
Weiming Hu
ViT
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TransBoost: Improving the Best ImageNet Performance using Deep Transduction
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Guy Bar-Shalom
Ran El-Yaniv
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Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
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14 Apr 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
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SimMatch: Semi-supervised Learning with Similarity Matching
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Lang Huang
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How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
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ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
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Debiased Self-Training for Semi-Supervised Learning
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AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
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Seokju Cho
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Debiased Learning from Naturally Imbalanced Pseudo-Labels
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Simple and Effective Balance of Contrastive Losses
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Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
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Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
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Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
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LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
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