Adaptive Activation Network and Functional Regularization for Efficient
and Flexible Deep Multi-Task Learning

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

19 November 2019

Li Shen

Niranjan Balasubramanian

Papers citing "Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning"

6 / 6 papers shown

Title
A Sufficient Condition for Convergences of Adam and RMSProp Fangyu Zou Li Shen Zequn Jie Weizhong Zhang Wei Liu 59 371 0 23 Nov 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 120 1,220 0 23 Apr 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 72 93 0 31 Oct 2017
YouTube-8M: A Large-Scale Video Classification Benchmark Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Apostol Natsev G. Toderici Balakrishnan Varadarajan Sudheendra Vijayanarasimhan VLM 151 1,270 0 27 Sep 2016
Self-Paced Multi-Task Learning Changsheng Li Junchi Yan Fan Wei Weishan Dong Qingshan Liu H. Zha MoE LRM 71 87 0 06 Apr 2016
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 217 475 0 21 Dec 2014