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20112023
most citedEfficient Reinforcement Learning Using Recursive Least-Squares Methods

136 citations · 563 across the 31 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CL2018★ 11 cited

Decoupling Strategy and Generation in Negotiation Dialogues

He He, Derek Chen, Anusha Balakrishnan +1

We consider negotiation settings in which two agents use natural language to bargain on goods. Agents need to decide on both high-level strategy (e.g., proposing $50) and the exec…

cs.CL2018★ 50 cited

QuAC : Question Answering in Context

Eunsol Choi, He He, Mohit Iyyer +5

We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1)…

eess.SP2018★ 1 cited

Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant

He He, Dongrui Wu

The electroencephalogram (EEG) is the most popular form of input for brain computer interfaces (BCIs). However, it can be easily contaminated by various artifacts and noise, e.g.,…

cs.HC2018

Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach

He He, Dongrui Wu

The electroencephalogram (EEG) is the most widely used input for brain computer interfaces (BCIs), and common spatial pattern (CSP) is frequently used to spatially filter it to inc…

cs.LG2018★ 7 cited

Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach

He He, Dongrui Wu

Objective: This paper targets a major challenge in developing practical EEG-based brain-computer interfaces (BCIs): how to cope with individual differences so that better learning…

cs.CL2018★ 62 cited

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Urvashi Khandelwal, He He, Peng Qi +1

We know very little about how neural language models (LM) use prior linguistic context. In this paper, we investigate the role of context in an LSTM LM, through ablation studies. S…

cs.CL2018★ 43 cited

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Juncen Li, Robin Jia, He He +1

We consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e.g., sentiment) while preserving its attribute-independent content (e.g., c…