Devendra Singh Chaplot

According to our database1, Devendra Singh Chaplot authored at least 46 papers between 2013 and 2024.

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Bibliography

2024
Mixtral of Experts.
CoRR, 2024

2023
Navigating to objects in the real world.
Sci. Robotics, June, 2023

GOAT: GO to Any Thing.
CoRR, 2023

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.
CoRR, 2023

Mistral 7B.
CoRR, 2023

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents.
CoRR, 2023

Multi-skill Mobile Manipulation for Object Rearrangement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Navigating to Objects Specified by Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Habitat-Matterport 3D Semantics Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Building Intelligent Autonomous Navigation Agents.
PhD thesis, 2022

Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances.
CoRR, 2022

Retrospectives on the Embodied AI Workshop.
CoRR, 2022

FILM: Following Instructions in Language with Modular Methods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Recognizing Scenes from Novel Viewpoints.
CoRR, 2021

Building Intelligent Autonomous Navigation Agents.
CoRR, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

No RL, No Simulation: Learning to Navigate without Navigating.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Spatial Planning using Transformers.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Unsupervised Domain Adaptation for Visual Navigation.
CoRR, 2020

Planning with Submodular Objective Functions.
CoRR, 2020

Object Goal Navigation using Goal-Oriented Semantic Exploration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Embodied Multimodal Multitask Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning To Explore Using Active Neural SLAM.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semantic Curiosity for Active Visual Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Topological SLAM for Visual Navigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
On Evaluation of Embodied Navigation Agents.
CoRR, 2018

Gated Path Planning Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

LSTM Iteration Networks: An Exploration of Differentiable Path Finding.
Proceedings of the 6th International Conference on Learning Representations, 2018

Active Neural Localization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Global Pose Estimation With an Attention-Based Recurrent Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning Cognitive Models Using Neural Networks.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Gated-Attention Architectures for Task-Oriented Language Grounding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Knowledge-based Word Sense Disambiguation using Topic Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Playing FPS Games with Deep Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Arnold: An Autonomous Agent to Play FPS Games.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Personalized Adaptive Learning using Neural Networks.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Data-driven Automated Induction of Prerequisite Structure Graphs.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
SAP: Student Attrition Predictor.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.
Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
IndoWordnet Visualizer: A Graphical User Interface for Browsing and Exploring Wordnets of Indian Languages.
Proceedings of the Seventh Global Wordnet Conference, 2014

2013
Comparing Model Comparison Methods.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013


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