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Adaptive Multi-head Contrastive Learning

Adaptive Multi-head Contrastive Learning

9 October 2023
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
ArXivPDFHTML

Papers citing "Adaptive Multi-head Contrastive Learning"

12 / 12 papers shown
Title
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
38
0
0
22 Feb 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
80
0
0
04 Feb 2025
Optimizing Calibration by Gaining Aware of Prediction Correctness
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
34
1
0
19 Apr 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via
  Temporal-Viewpoint Alignment
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
22
9
0
07 Feb 2024
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
65
76
1
01 May 2023
Temperature Schedules for Self-Supervised Contrastive Methods on
  Long-Tail Data
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Anna Kukleva
Moritz Bohle
Bernt Schiele
Hilde Kuehne
Christian Rupprecht
29
38
0
23 Mar 2023
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via
  Feature Distillation
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Yixuan Wei
Han Hu
Zhenda Xie
Zheng-Wei Zhang
Yue Cao
Jianmin Bao
Dong Chen
B. Guo
CLIP
78
123
0
27 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
258
7,337
0
11 Nov 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
183
450
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
283
5,723
0
29 Apr 2021
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
154
3,574
0
09 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1