SpotTune: Transfer Learning through Adaptive Fine-tuning

21 November 2018

Papers citing "SpotTune: Transfer Learning through Adaptive Fine-tuning"

50 / 183 papers shown

Title
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness Vivek Ramanujan Thao Nguyen Sewoong Oh Ludwig Schmidt Ali Farhadi OOD 14 21 0 24 Jul 2023
Tuning Pre-trained Model via Moment Probing Mingze Gao Qilong Wang Zhenyi Lin Pengfei Zhu Qinghua Hu Jingbo Zhou 6 6 0 21 Jul 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis Muhammad Osama Khan Yi Fang 25 3 0 20 Jul 2023
Multi-Domain Learning with Modulation Adapters E. Iakovleva Alahari Karteek Jakob Verbeek 16 1 0 17 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 34 57 0 11 Jul 2023
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data M. Campana Franca Delmastro Elena Pagani 17 15 0 06 Jul 2023
CoPL: Contextual Prompt Learning for Vision-Language Understanding Koustava Goswami Srikrishna Karanam Prateksha Udhayanan J. JosephK. Balaji Vasan Srinivasan VLM 26 8 0 03 Jul 2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 28 55 0 01 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 48 22 0 26 Jun 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis L. Dudziak Da Li Timothy M. Hospedales 30 3 0 15 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 29 15 0 06 Jun 2023
A Dive into SAM Prior in Image Restoration Zeyu Xiao Jiawang Bai Zhihe Lu Zhiwei Xiong 24 16 0 23 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks Cat P. Le Juncheng Dong Ahmed Aloui Vahid Tarokh TTA GAN 22 1 0 19 May 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 11 7 0 10 May 2023
Reduction of Class Activation Uncertainty with Background Information H. M. D. Kabir 15 9 0 05 May 2023
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images Carlos Rodriguez-Pardo Melania Prieto-Martin Dan Casas Elena Garces 23 12 0 13 Apr 2023
Can we learn better with hard samples? Subin Sahayam John Zakkam Umarani Jayaraman 6 2 0 07 Apr 2023
Reusing Deep Neural Network Models through Model Re-engineering Binhang Qi Hailong Sun Xiang Gao Hongyu Zhang Zhaotian Li Xudong Liu 17 17 0 01 Apr 2023
$Δ$ -Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss Chaitanya Devaguptapu Samarth Sinha K. J. Joseph V. Balasubramanian Animesh Garg 65 1 0 26 Mar 2023
Trainable Projected Gradient Method for Robust Fine-tuning Junjiao Tian Xiaoliang Dai Chih-Yao Ma Zecheng He Yen-Cheng Liu Z. Kira 48 30 0 19 Mar 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning Haoyu He Jianfei Cai Jing Zhang Dacheng Tao Bohan Zhuang VPVLM 14 50 0 15 Mar 2023
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering Zijian Feng Xin Chen Zijian Lv Pei-Hao Sun Kai Wu 23 0 0 13 Mar 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model Gengwei Zhang Liyuan Wang Guoliang Kang Ling-Hao Chen Yunchao Wei CLL 26 106 0 09 Mar 2023
Your representations are in the network: composable and parallel adaptation for large scale models Yonatan Dukler Alessandro Achille Hao-Yu Yang Varsha Vivek L. Zancato Benjamin Bowman Avinash Ravichandran Charless C. Fowlkes A. Swaminathan Stefano Soatto 21 3 0 07 Mar 2023
Scalable Weight Reparametrization for Efficient Transfer Learning Byeonggeun Kim Juntae Lee Seunghan Yang Simyung Chang OffRL 9 0 0 26 Feb 2023
How to prepare your task head for finetuning Yi Ren Shangmin Guo Wonho Bae Danica J. Sutherland 4 14 0 11 Feb 2023
Interpretations of Domain Adaptations via Layer Variational Analysis H. Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 22 3 0 03 Feb 2023
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy Zuhao Yang Huajun Bai Zhang Luo Yang Xu Wei Pang Yue Wang Yisheng Yuan Yingfang Yuan 42 3 0 30 Jan 2023
Unifying Synergies between Self-supervised Learning and Dynamic Computation Tarun Krishna Ayush Rai Alexandru Drimbarean Eric Arazo Paul Albert A. Smeaton Kevin McGuinness Noel E. O'Connor 24 0 0 22 Jan 2023
Improving Reliability of Fine-tuning with Block-wise Optimisation Basel Barakat Qiang Huang 19 1 0 15 Jan 2023
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 6 12 0 12 Dec 2022
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 19 24 0 02 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision models Sachin Goyal Ananya Kumar Sankalp Garg Zico Kolter Aditi Raghunathan CLIP VLM 27 136 0 01 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 22 7 0 30 Nov 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 20 23 0 29 Nov 2022
How to Fine-Tune Vision Models with SGD Ananya Kumar Ruoqi Shen Sébastien Bubeck Suriya Gunasekar VLM 6 29 0 17 Nov 2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design Yikai Yan Chaoyue Niu Fan Wu Qinya Li Shaojie Tang Chengfei Lyu Guihai Chen 19 0 0 11 Nov 2022
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 43 27 0 01 Nov 2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation Qian Wang T. Breckon 17 3 0 25 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 49 197 0 20 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 34 247 0 17 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 57 22 0 07 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference Mu Yuan Lan Zhang Zimu Zheng Yi-Nan Zhang Xiang-Yang Li 17 2 0 28 Sep 2022
TeST: Test-time Self-Training under Distribution Shift Samarth Sinha Peter V. Gehler Francesco Locatello Bernt Schiele TTA OOD 32 22 0 23 Sep 2022
Computer vision system to count crustacean larvae Chen Rothschild 16 0 0 13 Sep 2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification Xuyang Shen J. Plested Sabrina Caldwell Yiran Zhong Tom Gedeon 26 1 0 26 Jul 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes Sungha Choi Seunghan Yang Seokeon Choi Sungrack Yun TTA OOD 25 64 0 24 Jul 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 59 134 0 24 Jul 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard E. Turner VLM 24 9 0 20 Jun 2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning Yanpeng Sun Qiang Chen Xiangyu He Jian Wang Haocheng Feng Junyu Han Errui Ding Jian Cheng Zechao Li Jingdong Wang 23 56 0 13 Jun 2022