Quantized Reinforcement Learning (QUARL). - Srivatsan Krishnan; Sharad Chitlangia; Maximilian Lam; Zishen Wan; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Psychological and Neural Evidence for Reinforcement Learning: A Survey. - Ajay Subramanian; Sharad Chitlangia; Veeky Baths (CoRR, 2020)

Multilingual Spoken Words Corpus. - 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; et al. (NeurIPS Datasets and Benchmarks, 2021)

Incorporating Domain Knowledge into Deep Neural Networks. - Tirtharaj Dash; Sharad Chitlangia; Aditya Ahuja; Ashwin Srinivasan 001 (CoRR, 2021)

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. - Sharad Chitlangia; Zuxin Liu; Akhil Agnihotri; Ding Zhao (CoRR, 2021)

Widening Access to Applied Machine Learning with TinyML. - 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; et al. (CoRR, 2021)

How to Tell Deep Neural Networks What We Know. - Tirtharaj Dash; Sharad Chitlangia; Aditya Ahuja; Ashwin Srinivasan 001 (CoRR, 2021)

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. - Atharv Sonwane; Sharad Chitlangia; Tirtharaj Dash; Lovekesh Vig; Gautam Shroff; Ashwin Srinivasan 001 (CoRR, 2021)

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. - Hanjiang Hu; Zuxin Liu; Sharad Chitlangia; Akhil Agnihotri; Ding Zhao (CVPR, 2022)

Reinforcement learning and its connections with neuroscience and psychology. - Ajay Subramanian; Sharad Chitlangia; Veeky Baths (Neural Networks, 2022)

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. - Srivatsan Krishnan; Max Lam; Sharad Chitlangia; Zishen Wan; Gabriel Barth-Maron; Aleksandra Faust; Vijay Janapa Reddi (Trans. Mach. Learn. Res., 2022)

Real-Time Detection of Robotic Traffic in Online Advertising. - Anand Muralidhar; Sharad Chitlangia; Rajat Agarwal; Muneeb Ahmed (AAAI, 2023)

Scaling Generative Pre-training for User Ad Activity Sequences. - Sharad Chitlangia; Krishna Reddy Kesari; Rajat Agarwal (AdKDD@KDD, 2023)