Naveen Panwar

According to our database, Naveen Panwar authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

SPASE: Spatial Saliency Explanation For Time Series Models.

Pranay Lohia, Badri Narayana Patro, Naveen Panwar, Vijay Agneeswaran

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Automatic Assessment of Quality of your Data for AI.

Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.

Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha

CoRR, 2021

Data Quality for Machine Learning Tasks.

Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text.

Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks.

Naveen Panwar, Tarun Tater, Anush Sankaran, Senthil Mani

CoRR, 2020

2019

A visual programming paradigm for abstract deep learning model development.

Srikanth G. Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani

Proceedings of the IndiaHCI 2019: Proceedings of the 10th Indian Conference on Human-Computer Interaction, 2019

2018

Sanskrit Sandhi Splitting using seq2(seq)².

Neelamadhav Gantayat, Rahul Aralikatte, Naveen Panwar, Anush Sankaran, Senthil Mani

CoRR, 2018

Sanskrit Sandhi Splitting using seq2(seq)2.

Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers.

Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Democratization of Deep Learning Using DARVIZ.

Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

mAnI: Movie Amalgamation using Neural Imitation.

Naveen Panwar, Shreya Khare, Neelamadhav Gantayat, Rahul Aralikatte, Senthil Mani, Anush Sankaran

CoRR, 2017

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models.

Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track, 2017