Sharad Chitlangia

13 papers A* 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Real-Time Detection of Robotic Traffic in Online Advertising. AAAI Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed
2023	—	`conf`	Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD@KDD Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal
2022	A*	`conf`	Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. CVPR Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao
2022	J	`jnl`	QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi
2022	J	`jnl`	Reinforcement learning and its connections with neuroscience and psychology. Neural Networks Ajay Subramanian, Sharad Chitlangia, Veeky Baths
2021	J	`jnl`	How to Tell Deep Neural Networks What We Know. CoRR Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
2021	J	`jnl`	Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. CoRR Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao
2021	J	`jnl`	Incorporating Domain Knowledge into Deep Neural Networks. CoRR Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
2021	—	`conf`	Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks Mark Mazumder, Sharad Chitlangia, Colby R. Banbury, Yiping Kang, Juan Ciro, Keith Achorn, Daniel Galvez, Mark Sabini, Peter Mattson, David Kanter, Greg Diamos, Pete Warden, Josh Meyer, Vijay Janapa Reddi
2021	J	`jnl`	Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2021	J	`jnl`	Widening Access to Applied Machine Learning with TinyML. CoRR Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby R. Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley
2020	J	`jnl`	Psychological and Neural Evidence for Reinforcement Learning: A Survey. CoRR Ajay Subramanian, Sharad Chitlangia, Veeky Baths
2019	J	`jnl`	Quantized Reinforcement Learning (QUARL). CoRR Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi