DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

26 January 2019

Haoyi Xiong

Papers citing "DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks"

38 / 38 papers shown

Title
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 148 5 0 21 Feb 2025
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity Mutian He Philip N. Garner 82 0 0 09 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 187 2 0 25 Sep 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 51 12 0 21 Dec 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 38 9 0 04 Oct 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 43 0 0 28 Jul 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 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 37 15 0 06 Jun 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 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
Interpretations of Domain Adaptations via Layer Variational Analysis Huan-Hsin Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 33 4 0 03 Feb 2023
Rethinking Two Consensuses of the Transferability in Deep Learning Yixiong Chen Jingxia Li C. Ding Li Liu 34 2 0 01 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 44 46 0 25 Nov 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Self-supervised similarity models based on well-logging data S. Egorov Narek Gevorgyan Alexey Zaytsev SSL 35 5 0 26 Sep 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization Haolin Pan Yong Guo Qinyi Deng Hao-Fan Yang Yiqun Chen Jian Chen SSL 18 19 0 30 Jul 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning Sanghoon Myung I. Huh Wonik Jang Jae Myung Choe Jisu Ryu Daesin Kim Kee-Eung Kim C. Jeong 29 13 0 12 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 17 4 0 08 Jun 2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications Fei Wu Qingzhong Wang Jian Bian Haoyi Xiong Ning Ding Feixiang Lu Junqing Cheng Dejing Dou AI4TS 28 52 0 02 Jun 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 59 18 0 21 Mar 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport Jiying Zhang Xi Xiao Long-Kai Huang Yu Rong Yatao Bian OT 19 32 0 20 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability Ruifei He Shuyang Sun Jihan Yang Song Bai Xiaojuan Qi 34 36 0 10 Mar 2022
Auto-Transfer: Learning to Route Transferrable Representations K. Murugesan Vijay Sadashivaiah Ronny Luss Karthikeyan Shanmugam Pin-Yu Chen Amit Dhurandhar AAML 46 5 0 02 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 54 0 08 Nov 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 11 0 14 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 50 39 0 12 Oct 2021
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition Zeyu Fu Jianbo Jiao M. Suttie J. A. Noble CVBM 17 9 0 12 Sep 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 29 44 0 29 Jun 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 40 77 0 03 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 30 69 0 25 Feb 2021
Bi-tuning of Pre-trained Representations Jincheng Zhong Ximei Wang Zhi Kou Jianmin Wang Mingsheng Long 21 21 0 12 Nov 2020
Cross-Task Representation Learning for Anatomical Landmark Detection Zeyu Fu Jianbo Jiao M. Suttie J. A. Noble CVBM 30 2 0 28 Sep 2020
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 30 21 0 18 Nov 2019
Towards Understanding the Transferability of Deep Representations Hong Liu Mingsheng Long Jianmin Wang Michael I. Jordan 30 25 0 26 Sep 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 94 233 0 28 Feb 2017