Explicit Inductive Bias for Transfer Learning with Convolutional Networks

5 February 2018

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

50 / 68 papers shown

Title
Using machine learning to measure evidence of students' sensemaking in physics courses Kaitlin Gili Kyle Heuton Astha Shah Michael C. Hughes 46 0 0 19 Mar 2025
Transfer Learning with Pre-trained Conditional Generative Models Shinýa Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 144 5 0 21 Feb 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees Weibin Liao Xu Chu Yasha Wang LRM 45 6 0 10 Oct 2024
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
Explanation Bottleneck Models Shinýa Yamaguchi Kosuke Nishida LRM BDL 49 1 0 26 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 143 2 0 25 Sep 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning Yupeng Chen Senmiao Wang Zhihang Lin Zhihang Lin Yushun Zhang Tian Ding Ruoyu Sun Ruoyu Sun CLL 72 1 0 30 Jul 2024
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 45 0 0 01 May 2024
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 32 9 0 04 Oct 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts Weibin Liao Haoyi Xiong Qingzhong Wang Yan Mo Xuhong Li Yi Liu Zeyu Chen Siyu Huang Dejing Dou CLL 14 22 0 03 Oct 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 24 0 0 28 Jul 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
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation Mutian He Philip N. Garner 36 4 0 16 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 22 50 0 14 May 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
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 36 1 0 26 Mar 2023
Measuring the Instability of Fine-Tuning Yupei Du D. Nguyen 18 4 0 15 Feb 2023
Interpretations of Domain Adaptations via Layer Variational Analysis H. Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 33 3 0 03 Feb 2023
Through-life Monitoring of Resource-constrained Systems and Fleets Felipe J. Montana A. Hartwell W. Jacobs V. Kadirkamanathan A. Mills Tom S. Clark 17 1 0 03 Jan 2023
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue William B. Held Christopher Hidey Fei Liu Eric Zhu Rahul Goel Diyi Yang Rushin Shah 26 0 0 15 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 31 136 0 01 Dec 2022
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer Cheng Guo Fei-hu Hu Yan Hu ViT 13 15 0 01 Dec 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 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 51 197 0 20 Oct 2022
Transfer learning with affine model transformation Shunya Minami Kenji Fukumizu Yoshihiro Hayashi Ryo Yoshida 24 1 0 18 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou R. Jiang AAML 29 8 0 18 Oct 2022
Self-supervised similarity models based on well-logging data S. Egorov Narek Gevorgyan Alexey Zaytsev SSL 27 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 22 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
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 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 56 18 0 21 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 54 914 1 10 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 24 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 41 5 0 02 Feb 2022
Sharpness-Aware Minimization with Dynamic Reweighting Wenxuan Zhou Fangyu Liu Huan Zhang Muhao Chen AAML 19 8 0 16 Dec 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 52 54 0 08 Nov 2021
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 28 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 32 10 0 14 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 46 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 26 688 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 35 3 0 23 Jul 2021
Noise Stability Regularization for Improving BERT Fine-tuning Hang Hua Xingjian Li Dejing Dou Chengzhong Xu Jiebo Luo 19 43 0 10 Jul 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 21 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 18 4 0 01 Apr 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 38 77 0 03 Mar 2021