activity
20152023
most citedLearning deep representations by mutual information estimation and maximization

1.7k citations · 3k across the 42 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL2020

An Analysis of Dataset Overlap on Winograd-Style Tasks

Ali Emami, Adam Trischler, Kaheer Suleman +1

The Winograd Schema Challenge (WSC) and variants inspired by it have become important benchmarks for common-sense reasoning (CSR). Model performance on the WSC has quickly progress…

cs.CL2020★ 30 cited

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté +3

Given a simple request like Put a washed apple in the kitchen fridge, humans can reason in purely abstract terms by imagining action sequences and scoring their likelihood of succe…

cs.CL2020★ 4 cited

An Empirical Study on Neural Keyphrase Generation

Rui Meng, Xingdi Yuan, Tong Wang +3

Recent years have seen a flourishing of neural keyphrase generation (KPG) works, including the release of several large-scale datasets and a host of new models to tackle them. Mode…

cs.CL2020★ 11 cited

Exploring and Predicting Transferability across NLP Tasks

Tu Vu, Tong Wang, Tsendsuren Munkhdalai +5

Recent advances in NLP demonstrate the effectiveness of training large-scale language models and transferring them to downstream tasks. Can fine-tuning these models on tasks other…

cs.CL2020★ 8 cited

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Tao Shen, Yi Mao, Pengcheng He +3

In this work, we aim at equipping pre-trained language models with structured knowledge. We present two self-supervised tasks learning over raw text with the guidance from knowledg…

cs.LG2020★ 18 cited

Role-Wise Data Augmentation for Knowledge Distillation

Jie Fu, Xue Geng, Zhijian Duan +6

Knowledge Distillation (KD) is a common method for transferring the ``knowledge'' learned by one machine learning model (the \textit{teacher}) into another model (the \textit{stude…

cs.CL2020★ 53 cited

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté +7

Playing text-based games requires skills in processing natural language and sequential decision making. Achieving human-level performance on text-based games remains an open challe…