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1910.04867
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A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
1 October 2019
Xiaohua Zhai
J. Puigcerver
A. Kolesnikov
P. Ruyssen
C. Riquelme
Mario Lucic
Josip Djolonga
André Susano Pinto
Maxim Neumann
Alexey Dosovitskiy
Lucas Beyer
Olivier Bachem
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
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Papers citing
"A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark"
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Title
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Token Coordinated Prompt Attention is Needed for Visual Prompting
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ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations
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Sergey Zagoruyko
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05 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
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Zijian Song
Shuoxi Zhang
J. Hopcroft
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25 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
Yang Li
47
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09 Apr 2025
Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin
M. Beck
Korbinian Poppel
Sepp Hochreiter
Johannes Brandstetter
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56
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24 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
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Lukas Miklautz
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24 Feb 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
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09 Feb 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
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Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
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Huy Nguyen
Quyen Tran
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Nhat Ho
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Shan Zhang
Piotr Koniusz
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Unsupervised Representation Learning by Balanced Self Attention Matching
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Christian Rupprecht
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Rio Yokota
Hirokatsu Kataoka
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Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
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Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
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CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
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FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
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Better Monocular 3D Detectors with LiDAR from the Past
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Cheng Perng Phoo
Carlos Diaz-Ruiz
Katie Z Luo
Wei-Lun Chao
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3DPC
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Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
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38
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Denoising Autoregressive Representation Learning
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J. Bornschein
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DiffM
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Large Convolutional Model Tuning via Filter Subspace
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Zichen Miao
Qiang Qiu
49
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Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
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Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
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03 Feb 2024
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E. Rusak
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Efficient Stitchable Task Adaptation
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Stochastic positional embeddings improve masked image modeling
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Advances and Challenges in Meta-Learning: A Technical Review
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Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
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Generating Synthetic Datasets by Interpolating along Generalized Geodesics
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Do We Really Need a Large Number of Visual Prompts?
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Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
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ViM: Vision Middleware for Unified Downstream Transferring
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