Learning What and Where to Transfer

15 May 2019

Papers citing "Learning What and Where to Transfer"

24 / 24 papers shown

Title
Token Coordinated Prompt Attention is Needed for Visual Prompting Zichen Liu Xu Zou Gang Hua Jiahuan Zhou 39 0 0 05 May 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 51 1 0 18 Apr 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 44 2 0 07 Mar 2024
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
Generic-to-Specific Distillation of Masked Autoencoders Wei Huang Zhiliang Peng Li Dong Furu Wei Jianbin Jiao QiXiang Ye 32 22 0 28 Feb 2023
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation Hyungmin Kim Sungho Suh Sunghyun Baek Daehwan Kim Daun Jeong Hansang Cho Junmo Kim 30 5 0 20 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 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
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 43 19 0 16 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Distilling a Powerful Student Model via Online Knowledge Distillation Shaojie Li Mingbao Lin Yan Wang Yongjian Wu Yonghong Tian Ling Shao Rongrong Ji FedML 27 46 0 26 Mar 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 155 44 0 16 Feb 2021
Cross-Layer Distillation with Semantic Calibration Defang Chen Jian-Ping Mei Yuan Zhang Can Wang Yan Feng Chun-Yen Chen FedML 45 286 0 06 Dec 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 16 1 0 11 Nov 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 44 67 0 16 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
Context-Aware Domain Adaptation in Semantic Segmentation Jinyu Yang Weizhi An Chao-chao Yan P. Zhao Junzhou Huang 33 56 0 09 Mar 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs Sangwoo Mo Minsu Cho Jinwoo Shin 30 212 0 25 Feb 2020
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 58 184 0 12 Mar 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 717 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 377 11,700 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017