ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.16848
  4. Cited By
InterroGate: Learning to Share, Specialize, and Prune Representations
  for Multi-task Learning

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning

26 February 2024
B. Bejnordi
Gaurav Kumar
Amelie Royer
Christos Louizos
Tijmen Blankevoort
Mohsen Ghafoorian
    CVBM
ArXivPDFHTML

Papers citing "InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning"

3 / 3 papers shown
Title
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
29
62
0
17 May 2022
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
201
235
1
10 Sep 2021
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,480
0
20 Aug 2019
1