Sharad Chitlangia

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Autonomous Driving

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal
Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD@KDD (2023)
Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed
Real-Time Detection of Robotic Traffic in Online Advertising. AAAI (2023)
Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Ajay Subramanian, Sharad Chitlangia, Veeky Baths
Reinforcement learning and its connections with neuroscience and psychology. Neural Networks 145 (2022)
Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. CVPR (2022)
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
How to Tell Deep Neural Networks What We Know. CoRR (2021)
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
Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks (2021)
Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR (2021)
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
Incorporating Domain Knowledge into Deep Neural Networks. CoRR (2021)
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
Widening Access to Applied Machine Learning with TinyML. CoRR (2021)
Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. CoRR (2021)
Ajay Subramanian, Sharad Chitlangia, Veeky Baths
Psychological and Neural Evidence for Reinforcement Learning: A Survey. CoRR (2020)
Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi
Quantized Reinforcement Learning (QUARL). CoRR (2019)