Explicit Inductive Bias for Transfer Learning with Convolutional Networks

5 February 2018

Papers citing "Explicit Inductive Bias for Transfer Learning with Convolutional Networks"

31 / 81 papers shown

Title
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition Asish Bera Zachary Wharton Yonghuai Liu Nikolaos Bessis Ardhendu Behera 34 41 0 23 Oct 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 36 11 0 14 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 53 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
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 66 695 0 04 Sep 2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks H. Baumgartl Ricardo Buettner 3DPC 54 3 0 23 Jul 2021
Noise Stability Regularization for Improving BERT Fine-tuning Hang Hua Xingjian Li Dejing Dou Chengzhong Xu Jiebo Luo 19 44 0 10 Jul 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
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 32 4 0 01 Apr 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 43 77 0 03 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 30 70 0 25 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 29 178 0 22 Feb 2021
LQF: Linear Quadratic Fine-Tuning Alessandro Achille Aditya Golatkar Avinash Ravichandran M. Polito Stefano Soatto 31 27 0 21 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 18 48 0 30 Nov 2020
Bi-tuning of Pre-trained Representations Jincheng Zhong Ximei Wang Zhi Kou Jianmin Wang Mingsheng Long 21 21 0 12 Nov 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 35 5 0 24 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 30 4 0 05 Oct 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
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach Yahui Liu Marco De Nadai Deng Cai Huayang Li Xavier Alameda-Pineda N. Sebe Bruno Lepri 38 59 0 10 Aug 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu KELM CLL 21 213 0 27 Apr 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs Sangwoo Mo Minsu Cho Jinwoo Shin 30 212 0 25 Feb 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 46 147 0 21 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 109 1,183 0 24 Dec 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Yunhui Guo Yandong Li Liqiang Wang Tajana Simunic 35 41 0 21 Nov 2019
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
Regularizing CNN Transfer Learning with Randomised Regression Yang Zhong A. Maki 24 13 0 16 Aug 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up Weifeng Ge Xiangru Lin Yizhou Yu 42 255 0 07 Mar 2019
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 38 446 0 21 Nov 2018
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 19 275 0 11 May 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 94 233 0 28 Feb 2017