Sharad Chitlangia

According to our database, Sharad Chitlangia authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Scaling Generative Pre-training for User Ad Activity Sequences.

Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal

Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023

Real-Time Detection of Robotic Traffic in Online Advertising.

Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Reinforcement learning and its connections with neuroscience and psychology.

Ajay Subramanian, Sharad Chitlangia, Veeky Baths

Neural Networks, 2022

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.

Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems.

Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

CoRR, 2021

How to Tell Deep Neural Networks What We Know.

Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

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, 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

CoRR, 2021

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles.

Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao

CoRR, 2021

Incorporating Domain Knowledge into Deep Neural Networks.

Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

CoRR, 2021

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, Josh Meyer, Vijay Janapa Reddi

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Psychological and Neural Evidence for Reinforcement Learning: A Survey.

Ajay Subramanian, Sharad Chitlangia, Veeky Baths

CoRR, 2020

2019

Quantized Reinforcement Learning (QUARL).

Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi

CoRR, 2019