activity
20172020
most citedLearning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

91 citations · 128 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CL202037 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.CL2020

Situated and Interactive Multimodal Conversations

Seungwhan Moon, Satwik Kottur, Paul A. Crook +9

Next generation virtual assistants are envisioned to handle multimodal inputs (e.g., vision, memories of previous interactions, in addition to the user's utterances), and perform m…

cs.AI2020

On Emergent Communication in Competitive Multi-Agent Teams

Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov +2

Several recent works have found the emergence of grounded compositional language in the communication protocols developed by mostly cooperative multi-agent systems when learned end…

cs.CV2019

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Satwik Kottur, José M. F. Moura, Devi Parikh +2

Visual Dialog is a multimodal task of answering a sequence of questions grounded in an image, using the conversation history as context. It entails challenges in vision, language,…

cs.CV2018

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Satwik Kottur, José M. F. Moura, Devi Parikh +2

Visual dialog entails answering a series of questions grounded in an image, using dialog history as context. In addition to the challenges found in visual question answering (VQA),…

cs.CL2017

Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog

Satwik Kottur, José M. F. Moura, Stefan Lee +1

A number of recent works have proposed techniques for end-to-end learning of communication protocols among cooperative multi-agent populations, and have simultaneously found the em…