Devendra Singh Chaplot

According to our database, Devendra Singh Chaplot authored at least 51 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Pixtral 12B.

Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang

CoRR, 2024

Situated Instruction Following.

So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi

CoRR, 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.

Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

CoRR, 2024

Mixtral of Experts.

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2024

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

Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks.

Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation.

Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani, Sriram Yenamandra, Théophile Gervet, Matthew Chang, Zsolt Kira, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Navigating to objects in the real world.

Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot

Sci. Robotics, June, 2023

GOAT: GO to Any Thing.

Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot

CoRR, 2023

Mistral 7B.

Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2023

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot

CoRR, 2023

Multi-skill Mobile Manipulation for Object Rearrangement.

Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Navigating to Objects Specified by Images.

Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Habitat-Matterport 3D Semantics Dataset.

Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John M. Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot

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.

Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HomeRobot: Open-Vocabulary Mobile Manipulation.

Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

2022

Building Intelligent Autonomous Navigation Agents.

Devendra Singh Chaplot

PhD thesis, 2022

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

Jacob Krantz, Stefan Lee, Jitendra Malik, Dhruv Batra, Devendra Singh Chaplot

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

CoRR, 2022

FILM: Following Instructions in Language with Modular Methods.

So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov

Proceedings of the Tenth International Conference on Learning Representations, 2022

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning.

Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Recognizing Scenes from Novel Viewpoints.

Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari

CoRR, 2021

Building Intelligent Autonomous Navigation Agents.

Devendra Singh Chaplot

CoRR, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.

Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

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.

Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta

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.

Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Spatial Planning using Transformers.

Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Unsupervised Domain Adaptation for Visual Navigation.

Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai, Yue Wu, Louis-Philippe Morency, Ruslan Salakhutdinov

CoRR, 2020

Planning with Submodular Objective Functions.

Ruosong Wang, Hanrui Zhang, Devendra Singh Chaplot, Denis Garagic, Ruslan Salakhutdinov

CoRR, 2020

Object Goal Navigation using Goal-Oriented Semantic Exploration.

Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Embodied Multimodal Multitask Learning.

Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning To Explore Using Active Neural SLAM.

Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov

Proceedings of the 8th International Conference on Learning Representations, 2020

Semantic Curiosity for Active Visual Learning.

Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Topological SLAM for Visual Navigation.

Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

On Evaluation of Embodied Navigation Agents.

Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir

CoRR, 2018

Gated Path Planning Networks.

Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric P. Xing, Ruslan Salakhutdinov

Proceedings of the 35th International Conference on Machine Learning, 2018

LSTM Iteration Networks: An Exploration of Differentiable Path Finding.

Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Ruslan Salakhutdinov

Proceedings of the 6th International Conference on Learning Representations, 2018

Active Neural Localization.

Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov

Proceedings of the 6th International Conference on Learning Representations, 2018

Global Pose Estimation With an Attention-Based Recurrent Network.

Emilio Parisotto, Devendra Singh Chaplot, Jian Zhang, Ruslan Salakhutdinov

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning Cognitive Models Using Neural Networks.

Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Gated-Attention Architectures for Task-Oriented Language Grounding.

Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Knowledge-based Word Sense Disambiguation using Topic Models.

Devendra Singh Chaplot, Ruslan Salakhutdinov

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Playing FPS Games with Deep Reinforcement Learning.

Guillaume Lample, Devendra Singh Chaplot

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Arnold: An Autonomous Agent to Play FPS Games.

Devendra Singh Chaplot, Guillaume Lample

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Personalized Adaptive Learning using Neural Networks.

Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Data-driven Automated Induction of Prerequisite Structure Graphs.

Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

SAP: Student Attrition Predictor.

Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.

Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim

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.

Devendra Singh Chaplot, Pushpak Bhattacharyya, Ashwin Paranjape

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.

Devendra Singh Chaplot, Sudha Bhingardive, Pushpak Bhattacharyya

Proceedings of the Seventh Global Wordnet Conference, 2014

2013

Comparing Model Comparison Methods.

Holger Schultheis, Ankit Singhaniya, Devendra Singh Chaplot

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013