Let the Model Decide its Curriculum for Multitask Learning

19 May 2022

Papers citing "Let the Model Decide its Curriculum for Multitask Learning"

11 / 11 papers shown

Title
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks Swaroop Mishra Arindam Mitra Neeraj Varshney Bhavdeep Singh Sachdeva Peter Clark Chitta Baral Ashwin Kalyan AIMat ReLM ELM LRM 86 108 0 12 Apr 2022
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 123 1,006 0 31 Oct 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 60 230 0 10 Jul 2019
PAWS: Paraphrase Adversaries from Word Scrambling Yuan Zhang Jason Baldridge Luheng He 71 543 0 01 Apr 2019
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks Victor Sanh Thomas Wolf Sebastian Ruder 60 234 0 14 Nov 2018
Dialogue Natural Language Inference Sean Welleck Jason Weston Arthur Szlam Kyunghyun Cho HILM 79 252 0 01 Nov 2018
The Natural Language Decathlon: Multitask Learning as Question Answering Bryan McCann N. Keskar Caiming Xiong R. Socher AIMat MLLM BDL 142 645 0 20 Jun 2018
Scheduled Multi-Task Learning: From Syntax to Translation E. Kiperwasser Miguel Ballesteros 61 82 0 24 Apr 2018
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 1.1K 7,159 0 20 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 520 4,479 0 18 Apr 2017
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 313 4,284 0 21 Aug 2015