AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning

17 April 2023

Papers citing "AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning"

3 / 3 papers shown

Title
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 43 1 0 18 Oct 2024
MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee Tong Zhang Sabine Süsstrunk Mathieu Salzmann ViT 29 62 0 17 May 2022
Multi-task Learning with Attention for End-to-end Autonomous Driving Keishi Ishihara Anssi Kanervisto J. Miura Ville Hautamaki 34 60 0 21 Apr 2021