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Akshay Sethi
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2020 – today
- 2024
- [c6]Sanjay Kumar Patnala, Sumedh B. G, Akshay Sethi, Sonia Gupta, Siddhartha Asthana:
SGD-MLP: Structure Generation and Distillation using a graph free MLP. COMAD/CODS 2024: 64-72 - 2023
- [c5]Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana:
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. IJCNN 2023: 1-8 - [c4]Akshay Sethi, Sonia Gupta, Aakarsh Malhotra, Siddhartha Asthana:
Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning. ECML/PKDD (3) 2023: 19-35 - 2020
- [j2]Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart:
Representation Learning for Dynamic Graphs: A Survey. J. Mach. Learn. Res. 21: 70:1-70:73 (2020)
2010 – 2019
- 2019
- [j1]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. Pattern Recognit. Lett. 119: 157-165 (2019) - [i4]Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart:
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. CoRR abs/1905.11485 (2019) - [i3]Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi:
Coverage Testing of Deep Learning Models using Dataset Characterization. CoRR abs/1911.07309 (2019) - 2018
- [c3]Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani:
DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers. AAAI 2018: 7339-7346 - [c2]Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat:
Democratization of Deep Learning Using DARVIZ. AAAI 2018: 8218-8219 - [i2]Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. CoRR abs/1803.07386 (2018) - 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) - 2016
- [c1]Akshay Sethi, Akshat Sinha, Ayush Agarwal, Chetan Arora, Anubha Gupta:
Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images. ICVGIP 2016: 20:1-20:7
Coauthor Index
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