Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral

Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral

25 August 2021

Yann N. Dauphin

Papers citing "Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral"

17 / 17 papers shown

Title
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement Shivam Singh Karthik Swaminathan Nabanita Dash Ramandeep Singh Snehasis Banerjee Mohan Sridharan Madhava Krishna LLMAG LM&Ro 108 0 0 04 Feb 2025
A Bayesian Approach to Data Point Selection Xinnuo Xu Minyoung Kim Royson Lee Brais Martínez Timothy M. Hospedales 35 0 0 06 Nov 2024
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing Pranav Gupta Rishubh Singh Pradeep Shenoy Ravikiran Sarvadevabhatla 36 0 0 05 Nov 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost Yuan Gao Weizhong Zhang Wenhan Luo Lin Ma Jin-Gang Yu Gui-Song Xia Jiayi Ma 34 1 0 09 May 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA Yu-Guan Hsieh James Thornton Eugène Ndiaye Michal Klein Marco Cuturi Pierre Ablin MedIm 39 0 0 05 Feb 2024
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation Vishal Dey Xia Ning AAML AI4CE 29 0 0 29 Jan 2024
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 37 1 0 05 Dec 2023
D4AM: A General Denoising Framework for Downstream Acoustic Models H. Wang Yu Tsao Hsin-Min Wang Chu-Song Chen 18 4 0 28 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier Pierre Ablin Awni Y. Hannun 27 10 0 20 Nov 2023
Transfer Learning for Structured Pruning under Limited Task Data Lucio Dery David Grangier Awni Y. Hannun 27 0 0 10 Nov 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving Junjun Yan Xinhai Chen Zhichao Wang Enqiang Zhou Jie Liu PINN AI4CE 29 1 0 12 Jul 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li Huy Le Nguyen Hongyang R. Zhang 42 12 0 25 Mar 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 8 4 0 31 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 29 19 0 30 Jan 2023
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 41 9 0 27 May 2022
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation Dan Iter David Grangier 17 9 0 15 Sep 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery Paul Michel Ameet Talwalkar Graham Neubig CLL 28 35 0 15 Sep 2021