SpotTune: Transfer Learning through Adaptive Fine-tuning

21 November 2018

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

50 / 183 papers shown

Title
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging Yixiong Chen Li Liu Jingxia Li Hua Jiang C. Ding Zongwei Zhou MedIm AI4CE 33 7 0 03 Jun 2022
FedAdapter: Efficient Federated Learning for Modern NLP Dongqi Cai Yaozong Wu Shangguang Wang F. Lin Mengwei Xu FedML AI4CE 20 21 0 20 May 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 22 36 0 20 May 2022
Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks Sabeesh Ethiraj B. Bolla 12 8 0 14 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 14 6 0 08 May 2022
Spot-adaptive Knowledge Distillation Jie Song Ying Chen Jingwen Ye Mingli Song 20 72 0 05 May 2022
Meta Transfer Learning for Early Success Prediction in MOOCs Vinitra Swamy Mirko Marras Tanja Kaser AI4Ed 19 19 0 25 Apr 2022
Are Multimodal Transformers Robust to Missing Modality? Mengmeng Ma Jian Ren Long Zhao Davide Testuggine Xi Peng ViT 26 147 0 12 Apr 2022
Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford Hao Li Alessandro Achille Avinash Ravichandran Charless C. Fowlkes Rahul Bhotika Stefano Soatto MoMe 11 59 0 30 Mar 2022
Three things everyone should know about Vision Transformers Hugo Touvron Matthieu Cord Alaaeldin El-Nouby Jakob Verbeek Hervé Jégou ViT 16 119 0 18 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 42 906 1 10 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 39 640 0 21 Feb 2022
Auto-Transfer: Learning to Route Transferrable Representations K. Murugesan Vijay Sadashivaiah Ronny Luss Karthikeyan Shanmugam Pin-Yu Chen Amit Dhurandhar AAML 33 5 0 02 Feb 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 23 34 0 19 Jan 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing Yiding Wang D. Sun Kai Chen Fan Lai Mosharaf Chowdhury 23 44 0 17 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 17 101 0 15 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 23 83 0 10 Jan 2022
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations Xiaoqian Ruan Gaoang Wang 27 2 0 31 Dec 2021
Weed Recognition using Deep Learning Techniques on Class-imbalanced Imagery A. S. M. Mahmudul Hasan Ferdous Sohel D. Diepeveen Hamid Laga Michael G. K. Jones 12 17 0 15 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 21 33 0 30 Nov 2021
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data Yujie Wang Junqin Huang Mengya Gao Yichao Wu Zhen-fei Yin Ding Liang Junjie Yan 14 0 0 24 Nov 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Xiangyang Ji Antoni B. Chan Rong Jin 9 37 0 24 Nov 2021
Adaptive Transfer Learning: a simple but effective transfer learning J. H. Lee Henry Kvinge Scott Howland Zach New John Buckheit Lauren A. Phillips Elliott Skomski J. Hibler Court D. Corley Nathan Oken Hodas 20 0 0 22 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 8 34 0 16 Nov 2021
Scalable Diverse Model Selection for Accessible Transfer Learning Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 27 41 0 12 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 47 54 0 08 Nov 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 13 28 0 20 Sep 2021
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases Stéphan Clémenccon Pierre Laforgue Robin Vogel CVBM 14 0 0 06 Sep 2021
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors Bo-Wen Zhang Tao Chen Bin Wang Xiaofeng Wu Liming Zhang Jiayuan Fan ObjD 17 23 0 30 Aug 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 27 18 0 30 Aug 2021
Dynamic Network Quantization for Efficient Video Inference Ximeng Sun Rameswar Panda Chun-Fu Chen A. Oliva Rogerio Feris Kate Saenko 29 45 0 23 Aug 2021
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models Hang Xu Ning Kang Gengwei Zhang Chuanlong Xie Xiaodan Liang Zhenguo Li OnRL 21 7 0 07 Aug 2021
Non-binary deep transfer learning for image classification J. Plested Xuyang Shen Tom Gedeon MQ 28 5 0 19 Jul 2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021 Jiangeng Chang Shaoze Cui Mengling Feng 13 6 0 11 Jul 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading Pouya Hallaj Zavareh Atefeh Safayari Hamidreza Bolhasani 11 9 0 11 Jul 2021
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation Ivan Zakazov B. Shirokikh A. Chernyavskiy Mikhail Belyaev OOD 22 15 0 10 Jul 2021
In-N-Out: Towards Good Initialization for Inpainting and Outpainting Changho Jo Woobin Im Sung-eui Yoon 8 7 0 26 Jun 2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction Jialong Tang Hongyu Lin M. Liao Yaojie Lu Xianpei Han Le Sun Weijian Xie Jin Xu 22 23 0 16 Jun 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda Chun-Fu Chen Quanfu Fan Ximeng Sun Kate Saenko A. Oliva Rogerio Feris 28 47 0 11 May 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng AI4TS 12 330 0 08 Apr 2021
Document Layout Analysis via Dynamic Residual Feature Fusion Xingjiao Wu Ziling Hu Xiangcheng Du Jing Yang Liang He 16 13 0 07 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 13 4 0 01 Apr 2021
Dynamic Domain Adaptation for Efficient Inference Shuang Li Jinming Zhang Wen-hui Ma Chi Harold Liu Wei Li 19 12 0 26 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 11 7 0 25 Mar 2021
Channel Scaling: A Scale-and-Select Approach for Transfer Learning Ken C. L. Wong Satyananda Kashyap Mehdi Moradi 8 3 0 22 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 22 77 0 03 Mar 2021
VA-RED $^2$ : Video Adaptive Redundancy Reduction Bowen Pan Rameswar Panda Camilo Luciano Fosco Chung-Ching Lin A. Andonian Yue Meng Kate Saenko A. Oliva Rogerio Feris 15 19 0 15 Feb 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition Yue Meng Rameswar Panda Chung-Ching Lin P. Sattigeri Leonid Karlinsky Kate Saenko A. Oliva Rogerio Feris 68 62 0 10 Feb 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning F. Kanavati M. Tsuneki MedIm 15 34 0 10 Feb 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 13 619 0 09 Feb 2021