Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract). - Tomás Brázdil; Krishnendu Chatterjee; Martin Chmelik; Anchit Gupta; Petr Novotný 001 (AAMAS, 2016)

Stochastic Shortest Path with Energy Constraints in POMDPs. - Tomás Brázdil; Krishnendu Chatterjee; Martin Chmelik; Anchit Gupta; Petr Novotný 001 (CoRR, 2016)

Improved Strong Worst-case Upper Bounds for MDP Planning. - Anchit Gupta; Shivaram Kalyanakrishnan (IJCAI, 2017)

SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2018)

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. - Ajay Mandlekar; Yuke Zhu; Animesh Garg; Jonathan Booher; Max Spero; Albert Tung; Julian Gao; John Emmons; Anchit Gupta; Emre Orbay; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2018)

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. - Ajay Mandlekar; Jonathan Booher; Max Spero; Albert Tung; Anchit Gupta; Yuke Zhu; Animesh Garg; Silvio Savarese; Li Fei-Fei 001 (IROS, 2019)

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Sound Natural: Content Rephrasing in Dialog Systems. - Arash Einolghozati; Anchit Gupta; Keith Diedrick; Sonal Gupta (EMNLP (1), 2020)

MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. - Haoran Li 007; Abhinav Arora; Shuohui Chen; Anchit Gupta; Sonal Gupta; Yashar Mehdad (EACL, 2021)

Muppet: Massive Multi-task Representations with Pre-Finetuning. - Armen Aghajanyan; Anchit Gupta; Akshat Shrivastava; Xilun Chen 002; Luke Zettlemoyer; Sonal Gupta (EMNLP (1), 2021)

Better Fine-Tuning by Reducing Representational Collapse. - Armen Aghajanyan; Akshat Shrivastava; Anchit Gupta; Naman Goyal 001; Luke Zettlemoyer; Sonal Gupta (ICLR, 2021)

Intelligent video editing: incorporating modern talking face generation algorithms in a video editor. - Anchit Gupta; Faizan Farooq Khan; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (ICVGIP, 2021)

Compressing Video Calls using Synthetic Talking Heads. - Madhav Agarwal; Anchit Gupta; Rudrabha Mukhopadhyay; Vinay P. Namboodiri; C. V. Jawahar (BMVC, 2022)

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? - Xilun Chen 002; Kushal Lakhotia; Barlas Oguz; Anchit Gupta; Patrick S. H. Lewis; Stan Peshterliev; Yashar Mehdad; Sonal Gupta; Wen-tau Yih (EMNLP (Findings), 2022)

Domain-matched Pre-training Tasks for Dense Retrieval. - Barlas Oguz; Kushal Lakhotia; Anchit Gupta; Patrick Lewis 001; Vladimir Karpukhin; Aleksandra Piktus; Xilun Chen 002; Sebastian Riedel 001; Scott Yih; Sonal Gupta; Yashar Mehdad (NAACL-HLT (Findings), 2022)

Simple Local Attentions Remain Competitive for Long-Context Tasks. - Wenhan Xiong; Barlas Oguz; Anchit Gupta; Xilun Chen 002; Diana Liskovich; Omer Levy; Scott Yih; Yashar Mehdad (NAACL-HLT, 2022)

A Study on the Efficiency and Generalization of Light Hybrid Retrievers. - Man Luo 003; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen 002; Chitta Baral; Peyman Heidari (ACL (2), 2023)

Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. - Akshat Shrivastava; Shrey Desai; Anchit Gupta; Ali Elkahky; Aleksandr Livshits; Alexander Zotov; Ahmed Aly (EACL, 2023)

Adapting Pretrained Text-to-Text Models for Long Text Sequences. - Wenhan Xiong; Anchit Gupta; Shubham Toshniwal; Yashar Mehdad; Scott Yih (EMNLP (Findings), 2023)

Towards Generating Ultra-High Resolution Talking-Face Videos with Lip synchronization. - Anchit Gupta; Rudrabha Mukhopadhyay; Sindhu Balachandra; Faizan Farooq Khan; Vinay P. Namboodiri; C. V. Jawahar (WACV, 2023)

Unsupervised Audio-Visual Lecture Segmentation. - Darshan Singh S; Anchit Gupta; C. V. Jawahar; Makarand Tapaswi (WACV, 2023)

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. - Jingyu Liu; Wenhan Xiong; Ian Jones; Yixin Nie; Anchit Gupta; Barlas Oguz (CoRR, 2023)

3DGen: Triplane Latent Diffusion for Textured Mesh Generation. - Anchit Gupta; Wenhan Xiong; Yixin Nie; Ian Jones; Barlas Oguz (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework. - Natia Kukhilava; Tatia Tsmindashvili; Raphael Kalandadze; Anchit Gupta; Sofio Katamadze; François Brémond; Laura M. Ferrari; Philipp Müller 001; Benedikt Emanuel Wirth (CoRR, 2025)