activity
20132021
most citedRecSim: A Configurable Simulation Platform for Recommender Systems

50 citations · 276 across the 18 of their papers we have counts for

collaborators

20 papers

cs.LG2021★ 9 cited

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Martin Mladenov, Chih-Wei Hsu, Vihan Jain +7

The development of recommender systems that optimize multi-turn interaction with users, and model the interactions of different agents (e.g., users, content providers, vendors) in…

cs.AI2021★ 11 cited

On the Evaluation of Vision-and-Language Navigation Instructions

Ming Zhao, Peter Anderson, Vihan Jain +4

Vision-and-Language Navigation wayfinding agents can be enhanced by exploiting automatically generated navigation instructions. However, existing instruction generators have not be…

cs.CV2020★ 20 cited

A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus

Bowen Zhang, Hexiang Hu, Joonseok Lee +5

Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, b…

cs.CL2020★ 33 cited

AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization

Sayali Kulkarni, Sheide Chammas, Wan Zhu +2

Summarization is the task of compressing source document(s) into coherent and succinct passages. This is a valuable tool to present users with concise and accurate sketch of the to…

cs.CV2020★ 14 cited

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Alexander Ku, Peter Anderson, Roma Patel +2

We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigation (VLN) dataset. RxR is multilingual (English, Hindi, and Telugu) and larger (more paths and instructions) t…

cs.CV2020★ 3 cited

Learning to Represent Image and Text with Denotation Graph

Bowen Zhang, Hexiang Hu, Vihan Jain +2

Learning to fuse vision and language information and representing them is an important research problem with many applications. Recent progresses have leveraged the ideas of pre-tr…