Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

26 April 2019

Papers citing "Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning"

31 / 31 papers shown

Title
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Xinyue Zeng Haohui Wang Junhong Lin Jun Wu Tyler Cody Dawei Zhou 89 0 0 01 May 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 43 4 0 28 Jan 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 51 0 0 22 Jan 2025
BeST -- A Novel Source Selection Metric for Transfer Learning Ashutosh Soni Peizhong Ju A. Eryilmaz Ness B. Shroff 64 0 0 19 Jan 2025
KITE: A Kernel-based Improved Transferability Estimation Method Yunhui Guo 43 0 0 01 May 2024
Do Large Language Models Mirror Cognitive Language Processing? Yuqi Ren Renren Jin Tongxuan Zhang Deyi Xiong 42 4 0 28 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 29 0 0 23 Feb 2024
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach KB Vimal Saketh Bachu Tanmay Garg Niveditha Lakshmi Narasimhan Raghavan Konuru Vineeth N. Balasubramanian 34 2 0 05 Sep 2023
To transfer or not transfer: Unified transferability metric and analysis Qianshan Zhan Xiaohui Zeng 21 2 0 12 May 2023
Egocentric Video Task Translation Zihui Xue Yale Song Kristen Grauman Lorenzo Torresani EgoV 21 13 0 13 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning Yixiong Chen Jingxia Li C. Ding Li Liu 19 2 0 01 Dec 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 14 19 0 21 Nov 2022
Content-Based Search for Deep Generative Models Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 32 5 0 06 Oct 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 16 1 0 19 Aug 2022
MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee Tong Zhang Sabine Süsstrunk Mathieu Salzmann ViT 34 62 0 17 May 2022
Medusa: Universal Feature Learning via Attentional Multitasking Jaime Spencer Richard Bowden Simon Hadfield CLL 23 1 0 12 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 19 86 0 16 Dec 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection Won-Jo Lee Seokhyun Byun Jooeun Kim Minje Park Kirill Chechil AI4TS 19 2 0 01 Jul 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 25 57 0 17 Jun 2021
Fisher Task Distance and Its Application in Neural Architecture Search Cat P. Le Mohammadreza Soltani Juncheng Dong Vahid Tarokh FedML 10 8 0 23 Mar 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 107 46 0 29 Jan 2021
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 16 0 0 21 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 25 15 0 29 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 16 608 0 10 Sep 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 22 72 0 24 Jul 2020
Transfer learning in large-scale ocean bottom seismic wavefield reconstruction Mi Zhang Ali Siahkoohi Felix J. Herrmann 11 2 0 15 Apr 2020
Similarity of Neural Networks with Gradients Shuai Tang Wesley J. Maddox Charlie Dickens Tom Diethe Andreas C. Damianou 6 25 0 25 Mar 2020
Deep Model Transferability from Attribution Maps Jie Song Yixin Chen Xinchao Wang Chengchao Shen Mingli Song 19 54 0 26 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 13 502 0 18 May 2019