Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

24 March 2021

Papers citing "Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types"

50 / 51 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 65 0 0 25 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 34 0 0 14 Apr 2025
k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei Christos Matsoukas Johan Fredin Haslum Kevin Smith 52 0 0 24 Mar 2025
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 116 0 0 01 Mar 2025
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 51 2 0 12 May 2024
Efficient Transferability Assessment for Selection of Pre-trained Detectors Zhao Wang Aoxue Li Zhenguo Li Qi Dou 32 0 0 14 Mar 2024
Computer Vision for Primate Behavior Analysis in the Wild Richard Vogg Timo Lüddecke Jonathan Henrich Sharmita Dey Matthias Nuske ... Alexander Gail Stefan Treue H. Scherberger F. Worgotter Alexander S. Ecker 28 3 0 29 Jan 2024
CycleCL: Self-supervised Learning for Periodic Videos Matteo Destro Michael Gygli SSL 27 1 0 05 Nov 2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset Alvin De Jun Tan Clement Tan C. Yeo 31 0 0 27 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach KB Vimal Saketh Bachu Tanmay Garg Niveditha Lakshmi Narasimhan Raghavan Konuru Vineeth N. Balasubramanian 34 2 0 05 Sep 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield D. Wolf Markus Ulrich Nikhil Kapoor 35 3 0 19 Aug 2023
Evaluating the structure of cognitive tasks with transfer learning Bruno Aristimunha Raphael Y. de Camargo W. H. L. Pinaya Sylvain Chevallier Alexandre Gramfort Cédric Rommel 25 4 0 28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 38 6 0 25 Jul 2023
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology Tushar Kataria Beatrice S. Knudsen Shireen Elhabian VLM 19 7 0 06 Jul 2023
IAdet: Simplest human-in-the-loop object detection Franco Marchesoni-Acland Gabriele Facciolo VLM 44 1 0 04 Jul 2023
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation Seokju Cho Heeseong Shin Sung‐Jin Hong Anurag Arnab Paul Hongsuck Seo Seung Wook Kim VLM 27 103 0 21 Mar 2023
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns Javier Gamazo Tejero M. Zinkernagel Sebastian Wolf Raphael Sznitman Pablo Márquez-Neila 38 4 0 21 Mar 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 21 34 0 11 Jan 2023
Location-Aware Self-Supervised Transformers for Semantic Segmentation Mathilde Caron N. Houlsby Cordelia Schmid ViT 16 10 0 05 Dec 2022
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks Yehuda Dar Lorenzo Luzi Richard G. Baraniuk AI4CE 8 1 0 20 Nov 2022
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics Alexander Naumann Felix Hertlein Benchun Zhou Laura Dörr K. Furmans 17 5 0 18 Oct 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems Andrea Gesmundo 21 2 0 29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 50 38 0 29 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems Andrea Gesmundo 19 18 0 15 Sep 2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks Tianwei Chen Noa Garcia Mayu Otani Chenhui Chu Yuta Nakashima Hajime Nagahara VLM 27 0 0 23 Aug 2022
Beyond Transfer Learning: Co-finetuning for Action Localisation Anurag Arnab Xuehan Xiong A. Gritsenko Rob Romijnders Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid 30 8 0 08 Jul 2022
The Missing Link: Finding label relations across datasets J. Uijlings Thomas Mensink V. Ferrari VLM 19 10 0 09 Jun 2022
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems Andrea Gesmundo J. Dean 31 23 0 25 May 2022
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems Andrea Gesmundo J. Dean 20 19 0 22 May 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 22 36 0 20 May 2022
Diverse Imagenet Models Transfer Better Niv Nayman A. Golbert Asaf Noy Tan Ping Lihi Zelnik-Manor 27 0 0 19 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann David Mizrahi Andrei Atanov Amir Zamir 30 265 0 04 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 30 4 0 04 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 35 7 0 16 Mar 2022
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 16 351 0 19 Jan 2022
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 19 38 0 26 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 13 23 0 25 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 11 57 0 24 Nov 2021
INTERN: A New Learning Paradigm Towards General Vision Jing Shao Siyu Chen Yangguang Li Kun Wang Zhen-fei Yin ... F. Yu Junjie Yan Dahua Lin Xiaogang Wang Yu Qiao 10 34 0 16 Nov 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 29 2 0 06 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 55 114 0 05 Oct 2021
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation Keumgang Cha Junghoon Seo Yeji Choi 32 29 0 31 Aug 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images Mehdi Cherti J. Jitsev LM&MA 22 23 0 31 May 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 75 544 0 16 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,707 0 06 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017