How transferable are features in deep neural networks?

6 November 2014

Jeff Clune

Papers citing "How transferable are features in deep neural networks?"

50 / 58 papers shown

Title
TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization Amira Guesmi B. Ouni Muhammad Shafique AAML 115 0 0 26 May 2025
Token Coordinated Prompt Attention is Needed for Visual Prompting Zichen Liu Xu Zou Gang Hua Jiahuan Zhou 114 0 0 05 May 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining Qi Fan Kaiqi Liu Nian Liu Hisham Cholakkal Rao Muhammad Anwer Wenbin Li Yang Gao 123 0 0 30 Apr 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity Xiaolu Chen Chenghao Huang Yanru Zhang Hao Wang 96 0 0 25 Apr 2025
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 145 0 0 03 Apr 2025
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 338 0 0 31 Mar 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Yaoyu Zhang Niangjun Chen Bo Wang 110 0 0 26 Mar 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation Justus Westerhoff Golzar Atefi Mario Koddenbrock Alexei Figueroa Alexander Loser Erik Rodner Felix Alexader Gers OffRL 79 0 0 18 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 66 0 0 14 Mar 2025
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring Johnson Loh Lyubov Dudchenko Justus Viga T. Gemmeke 89 0 0 12 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 153 11 0 28 Feb 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 422 1 0 27 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 167 482 0 26 Feb 2025
From Small to Large Language Models: Revisiting the Federalist Papers So Won Jeong Veronika Rockova 111 0 0 25 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 202 5 0 21 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 89 9 0 20 Jan 2025
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Ruojun Xu Weijie Xi Xiaodi Wang Yongbo Mao Zach Cheng DiffM 75 1 0 20 Jan 2025
BeST -- A Novel Source Selection Metric for Transfer Learning Ashutosh Soni Peizhong Ju A. Eryilmaz Ness B. Shroff 117 0 0 19 Jan 2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 145 0 0 10 Dec 2024
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations Marcin Przewiȩźlikowski Randall Balestriero Wojciech Jasiński Marek 'Smieja Bartosz Zieliñski 117 0 0 04 Dec 2024
ResiDual Transformer Alignment with Spectral Decomposition Lorenzo Basile Valentino Maiorca Luca Bortolussi Emanuele Rodolà Francesco Locatello 107 1 0 31 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim Wonjun Kang Yuchen Zeng H. Koo Kangwook Lee 70 4 0 11 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis Jipeng Han 60 0 0 02 Oct 2024
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation Hayeon Jo Hyesong Choi Minhee Cho Dongbo Min 66 1 0 04 Sep 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation Minhee Cho Hyesong Choi Hayeon Jo Dongbo Min 106 1 0 04 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail Mustansar Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 124 4 0 30 Aug 2024
Embedded Visual Prompt Tuning Wenqiang Zu Shenghao Xie Qing Zhao Guoqi Li Lei Ma VLM MedIm 93 10 0 01 Jul 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 69 1 0 07 Jun 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 83 0 0 11 Apr 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning Run He Huiping Zhuang Di Fang Yizhu Chen Kai Tong Cen Chen Lap-Pui Chau Huiping Zhuang 84 1 0 20 Mar 2024
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 76 13 0 15 Mar 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 112 9 0 21 Feb 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks Md. Ismail Hossain Mohammed Rakib M. M. L. Elahi Nabeel Mohammed Shafin Rahman 68 1 0 24 Dec 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 73 2 0 19 Sep 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 64 87 0 02 Mar 2022
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning Siladittya Manna Umapada Pal Saumik Bhattacharya SSL 62 1 0 24 Nov 2021
Pretraining Techniques for Sequence-to-Sequence Voice Conversion Wen-Chin Huang Tomoki Hayashi Yi-Chiao Wu Hirokazu Kameoka Tomoki Toda 57 39 0 07 Aug 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 101 31 0 17 Jun 2020
Revisiting Few-sample BERT Fine-tuning Tianyi Zhang Felix Wu Arzoo Katiyar Kilian Q. Weinberger Yoav Artzi 95 444 0 10 Jun 2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition Hyeokhyen Kwon C. Tong H. Haresamudram Yan Gao G. Abowd Nicholas D. Lane Thomas Ploetz 54 83 0 29 May 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 101 25 0 27 Apr 2020
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 145 2 0 11 Jul 2019
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 118 685 0 06 Dec 2017
Towards Alzheimer's Disease Classification through Transfer Learning Marcia Hon N. Khan MedIm 53 209 0 29 Nov 2017
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks Syed Shakib Sarwar Priyadarshini Panda Kaushik Roy CVBM 56 100 0 12 May 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 61 331 0 27 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 186 4,638 0 17 Feb 2017
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation Kota Hara Raviteja Vemulapalli Rama Chellappa 55 84 0 06 Feb 2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification Igor Barros Barbosa Marco Cristani Barbara Caputo Aleksander Rognhaugen T. Theoharis 62 197 0 11 Jan 2017
Image Aesthetic Assessment: An Experimental Survey Yubin Deng Chen Change Loy Xiaoou Tang 52 263 0 04 Oct 2016