| Representation learning for dynamic graphs: A survey SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart Journal of Machine Learning Research 21 (70), 1-73, 2020 | 544 | 2020 |
| DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers A Sethi, A Sankaran, N Panwar, S Khare, S Mani Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 46 | 2018 |
| Relational representation learning for dynamic (knowledge) graphs: A survey SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart arXiv preprint arXiv:1905.11485 12, 2019 | 42 | 2019 |
| Coverage testing of deep learning models using dataset characterization S Mani, A Sankaran, S Tamilselvam, A Sethi arXiv preprint arXiv:1911.07309, 2019 | 34 | 2019 |
| Residual codean autoencoder for facial attribute analysis A Sethi, M Singh, R Singh, M Vatsa Pattern Recognition Letters 119, 157-165, 2019 | 20 | 2019 |
| Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data A Sethi, S Gupta, A Agarwal, N Agrawal, S Asthana 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| SATG: Structure aware transformers on graphs for node classification BG Sumedh, S Patnala, H Vasava, A Sethi, S Gupta NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 1 | 2023 |
| Democratization of deep learning using DARVIZ A Sankaran, N Panwar, S Khare, S Mani, A Sethi, R Aralikatte, N Gantayat Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1 | 2018 |
| METHODS AND SYSTEMS FOR TRAINING ARTIFICIAL INTELLIGENCE-BASED MODELS USING LIMITED LABELED DATA A Sethi, A Agarwal, N Agrawal, S Asthana, S Gupta US Patent App. 18/733,518, 2024 | | 2024 |
| GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLP S Malik, A Rai, H Sehgal, A Sethi, A Malhotra The Third Learning on Graphs Conference, 2024 | | 2024 |
| SGD-MLP: Structure Generation and Distillation using a graph free MLP SK Patnala, S BG, A Sethi, S Gupta, S Asthana Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
| SATG: Structure Aware Transformers on Graphs for Node Classification S BG, S Patnala, H Vasava, A Sethi, S Gupta NeurIPS 2023 GLFrontiers Workshop, 2023 | | 2023 |
| Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning A Sethi, S Gupta, A Malhotra, S Asthana Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Dataset creation for deep-learning model SG Tamilselvam, SKK Mani, J Kaur, UM DESAI, S Khare, A Sankaran, ... US Patent App. 16/798,757, 2021 | | 2021 |
| Representation Learning for Dynamic Graphs: A Survey S Mehran Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, ... arXiv e-prints, arXiv: 1905.11485, 2019 | | 2019 |
| Deep learning for attribute prediction and small sample size problems A Sethi, M Vatsa, R Singh IIIT-Delhi, 2018 | | 2018 |
| Deep Neural Networks for Segmentation of Basal Ganglia Sub-Structures in Brain MR Images A Sethi, A Aggarwal, A Sinha, C Arora, A Gupta Indian Conference on Computer Vision, Graphics and Image Processing, 2016 | | 2016 |
Pascal PoupartUniversity of Waterloo確認したメール アドレス: uwaterloo.ca