research
∙
03/14/2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
The development of recommender systems that optimize multi-turn interact...
share
research
∙
01/26/2021
On the Evaluation of Vision-and-Language Navigation Instructions
Vision-and-Language Navigation wayfinding agents can be enhanced by expl...
research
∙
11/18/2020
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Identifying a short segment in a long video that semantically matches a ...
research
∙
10/23/2020
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization
Summarization is the task of compressing source document(s) into coheren...
research
∙
10/15/2020
Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigatio...
research
∙
10/06/2020
Learning to Represent Image and Text with Denotation Graph
Learning to fuse vision and language information and representing them i...
research
∙
08/21/2020
Spatial Language Representation with Multi-Level Geocoding
We present a multi-level geocoding model (MLG) that learns to associate ...
research
∙
06/13/2020
Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation
Uncertainty quantification is an important research area in machine lear...
research
∙
05/10/2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
Learning to follow instructions is of fundamental importance to autonomo...
research
∙
03/01/2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation
Recent research efforts enable study for natural language grounded navig...
research
∙
01/10/2020
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
The Touchdown dataset (Chen et al., 2019) provides instructions by human...
research
∙
12/06/2019
VALAN: Vision and Language Agent Navigation
VALAN is a lightweight and scalable software framework for deep reinforc...
research
∙
09/23/2019
Learning Dense Representations for Entity Retrieval
We show that it is feasible to perform entity linking by training a dual...
research
∙
09/11/2019
RecSim: A Configurable Simulation Platform for Recommender Systems
We propose RecSim, a configurable platform for authoring simulation envi...
research
∙
08/09/2019
Transferable Representation Learning in Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) re...
research
∙
07/11/2019
Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
In instruction conditioned navigation, agents interpret natural language...
research
∙
05/31/2019
Multi-modal Discriminative Model for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a natural language grounding tas...
research
∙
05/29/2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Most practical recommender systems focus on estimating immediate user en...
research
∙
05/29/2019
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
Advances in learning and representations have reinvigorated work that co...
research
∙
12/19/2013
