AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning

8 April 2019

Papers citing "AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning"

9 / 9 papers shown

Title
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 78 2 0 07 Mar 2025
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 23 0 0 28 Jul 2024
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu C. Miao AAML 17 17 0 19 Apr 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits Ramakanth Pasunuru Han Guo Mohit Bansal OffRL 30 6 0 15 Nov 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits Han Guo Ramakanth Pasunuru Mohit Bansal 17 114 0 13 Jan 2020
Learning to Multi-Task Learn for Better Neural Machine Translation Poorya Zaremoodi Gholamreza Haffari 16 3 0 10 Jan 2020
Task Selection Policies for Multitask Learning John Glover Chris Hokamp OffRL 24 7 0 14 Jul 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018