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Anchit Gupta
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2020 – today
- 2023
- [c19]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - [c18]Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly:
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. EACL 2023: 430-447 - [c17]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. EMNLP (Findings) 2023: 5566-5578 - [c16]Anchit Gupta, Rudrabha Mukhopadhyay, Sindhu Balachandra, Faizan Farooq Khan, Vinay P. Namboodiri, C. V. Jawahar:
Towards Generating Ultra-High Resolution Talking-Face Videos with Lip synchronization. WACV 2023: 5198-5207 - [c15]Darshan Singh S, Anchit Gupta, C. V. Jawahar, Makarand Tapaswi:
Unsupervised Audio-Visual Lecture Segmentation. WACV 2023: 5221-5230 - [i19]Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz:
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. CoRR abs/2303.03565 (2023) - [i18]Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz:
3DGen: Triplane Latent Diffusion for Textured Mesh Generation. CoRR abs/2303.05371 (2023) - 2022
- [c14]Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Compressing Video Calls using Synthetic Talking Heads. BMVC 2022: 289 - [c13]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) 2022: 250-262 - [c12]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [c11]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT 2022: 1975-1986 - [i17]Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly:
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. CoRR abs/2202.00901 (2022) - [i16]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR abs/2209.10052 (2022) - [i15]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR abs/2210.01371 (2022) - [i14]Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Compressing Video Calls using Synthetic Talking Heads. CoRR abs/2210.03692 (2022) - [i13]Darshan Singh S, Anchit Gupta, C. V. Jawahar, Makarand Tapaswi:
Unsupervised Audio-Visual Lecture Segmentation. CoRR abs/2210.16644 (2022) - 2021
- [c10]Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad:
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. EACL 2021: 2950-2962 - [c9]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. EMNLP (1) 2021: 5799-5811 - [c8]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. ICLR 2021 - [c7]Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Intelligent video editing: incorporating modern talking face generation algorithms in a video editor. ICVGIP 2021: 25:1-25:9 - [i12]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. CoRR abs/2101.11038 (2021) - [i11]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR abs/2107.13602 (2021) - [i10]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR abs/2110.06918 (2021) - [i9]Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor. CoRR abs/2110.08580 (2021) - [i8]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR abs/2112.07210 (2021) - 2020
- [c6]Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta:
Sound Natural: Content Rephrasing in Dialog Systems. EMNLP (1) 2020: 5101-5108 - [i7]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. CoRR abs/2008.03156 (2020) - [i6]Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad:
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. CoRR abs/2008.09335 (2020) - [i5]Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta:
Sound Natural: Content Rephrasing in Dialog Systems. CoRR abs/2011.01993 (2020)
2010 – 2019
- 2019
- [c5]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. IROS 2019: 1048-1055 - [i4]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. CoRR abs/1909.12989 (2019) - [i3]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. CoRR abs/1911.04052 (2019) - 2018
- [c4]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. CoRL 2018: 767-782 - [c3]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:
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRL 2018: 879-893 - [i2]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:
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRR abs/1811.02790 (2018) - 2017
- [c2]Anchit Gupta, Shivaram Kalyanakrishnan:
Improved Strong Worst-case Upper Bounds for MDP Planning. IJCAI 2017: 1788-1794 - 2016
- [c1]Tomás Brázdil, Krishnendu Chatterjee, Martin Chmelik, Anchit Gupta, Petr Novotný:
Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract). AAMAS 2016: 1465-1466 - [i1]Tomás Brázdil, Krishnendu Chatterjee, Martin Chmelik, Anchit Gupta, Petr Novotný:
Stochastic Shortest Path with Energy Constraints in POMDPs. CoRR abs/1602.07565 (2016)
Coauthor Index
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