Learning to Teach with Dynamic Loss Functions

29 October 2018

Papers citing "Learning to Teach with Dynamic Loss Functions"

30 / 30 papers shown

Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning Yifan Liu Ruichen Yao Y. Liu Ruohan Zong Zehan Li Yang Zhang Dong Wang CVBM 61 0 0 03 May 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 81 1 0 28 Jan 2025
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 Sep 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 32 6 0 15 Jun 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
Curriculum Temperature for Knowledge Distillation Zheng Li Xiang Li Lingfeng Yang Borui Zhao Renjie Song Lei Luo Jun Yu Li Jian Yang 33 133 0 29 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek F. Abdelzaher Jiawei Han VLM 56 47 0 06 Nov 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 28 46 0 28 Mar 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 25 11 0 03 Feb 2022
Knowledge Tracing: A Survey Ghodai M. Abdelrahman Qing Wang B. Nunes AI4Ed 26 193 0 08 Jan 2022
Learning Data Teaching Strategies Via Knowledge Tracing Ghodai M. Abdelrahman Qing Wang 24 12 0 13 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 48 16 0 27 Oct 2021
Iterative Teacher-Aware Learning Luyao Yuan Dongruo Zhou Junhong Shen Jingdong Gao Jeffrey L. Chen Quanquan Gu Ying Nian Wu Song-Chun Zhu 20 11 0 01 Oct 2021
Human Pose Regression with Residual Log-likelihood Estimation Jiefeng Li Siyuan Bian Ailing Zeng Can Wang Bo Pang Wentao Liu Cewu Lu 25 192 0 23 Jul 2021
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting Kun Qian Wei Wei Zhou Yu 18 8 0 06 Apr 2021
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 25 24 0 05 Nov 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
A Unified Framework of Surrogate Loss by Refactoring and Interpolation Lanlan Liu Mingzhe Wang Jia Deng 22 8 0 27 Jul 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 30 46 0 11 Mar 2020
Optimizing Black-box Metrics with Adaptive Surrogates Qijia Jiang Olaoluwa Adigun Harikrishna Narasimhan M. M. Fard Maya R. Gupta 22 16 0 20 Feb 2020
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 20 110 0 12 Jun 2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems Jiazhan Feng Chongyang Tao Wei Wu Yansong Feng Dongyan Zhao Rui Yan 26 26 0 11 Jun 2019
Learning Surrogate Losses Josif Grabocka Randolf Scholz Lars Schmidt-Thieme 27 41 0 24 May 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 29 75 0 15 May 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 54 97 0 19 Feb 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 389 11,700 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016