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Naveen Panwar
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2020 – today
- 2024
- [c9]Pranay Lohia, Badri Narayana Patro, Naveen Panwar, Vijay Agneeswaran:
SPASE: Spatial Saliency Explanation For Time Series Models. ICASSP 2024: 5180-5184 - 2022
- [c8]Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala:
Automatic Assessment of Quality of your Data for AI. COMAD/CODS 2022: 354-357 - 2021
- [c7]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. AAAI 2021: 13516-13524 - [c6]Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala:
Data Quality for Machine Learning Tasks. KDD 2021: 4040-4041 - [i8]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:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - 2020
- [i7]Naveen Panwar, Tarun Tater, Anush Sankaran, Senthil Mani:
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks. CoRR abs/2005.10220 (2020) - [i6]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. CoRR abs/2012.04698 (2020)
2010 – 2019
- 2019
- [c5]Srikanth G. Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A visual programming paradigm for abstract deep learning model development. IndiaHCI 2019: 16:1-16:11 - [i5]Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A Visual Programming Paradigm for Abstract Deep Learning Model Development. CoRR abs/1905.02486 (2019) - 2018
- [c4]Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani:
DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers. AAAI 2018: 7339-7346 - [c3]Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat:
Democratization of Deep Learning Using DARVIZ. AAAI 2018: 8218-8219 - [c2]Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani:
Sanskrit Sandhi Splitting using seq2(seq)2. EMNLP 2018: 4909-4914 - [i4]Neelamadhav Gantayat, Rahul Aralikatte, Naveen Panwar, Anush Sankaran, Senthil Mani:
Sanskrit Sandhi Splitting using seq2(seq)2. CoRR abs/1801.00428 (2018) - 2017
- [c1]Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat:
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. ICSE-NIER 2017: 47-50 - [i3]Anush Sankaran, Rahul Aralikatte, Senthil Mani, Shreya Khare, Naveen Panwar, Neelamadhav Gantayat:
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models. CoRR abs/1708.04915 (2017) - [i2]Naveen Panwar, Shreya Khare, Neelamadhav Gantayat, Rahul Aralikatte, Senthil Mani, Anush Sankaran:
mAnI: Movie Amalgamation using Neural Imitation. CoRR abs/1708.04923 (2017) - [i1]Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani:
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers. CoRR abs/1711.03543 (2017)
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