AutoLoss: Learning Discrete Schedules for Alternate Optimization

AutoLoss: Learning Discrete Schedules for Alternate Optimization

4 October 2018

Xiaodan Liang

Ruslan Salakhutdinov

Papers citing "AutoLoss: Learning Discrete Schedules for Alternate Optimization"

12 / 12 papers shown

Title
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 30 5 0 18 Jan 2023
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 26 46 0 28 Mar 2022
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 21 25 0 16 May 2021
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism L. McClenny U. Braga-Neto PINN 28 443 0 07 Sep 2020
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation Dong Yang H. Roth Ziyue Xu Fausto Milletari Ling Zhang Daguang Xu 22 45 0 10 Jun 2020
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions A. Heydari Craig Thompson A. Mehmood 24 57 0 27 Dec 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 33 83 0 08 Jul 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 18 74 0 15 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015