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Aditya Sinha
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Matryoshka representation learning
A Kusupati, G Bhatt, A Rege, M Wallingford, A Sinha, V Ramanujan, ...
Advances in Neural Information Processing Systems 35, 30233-30249, 2022
3322022
Node-level differentially private graph neural networks
A Daigavane, G Madan, A Sinha, AG Thakurta, G Aggarwal, P Jain
PAIR^2Struct, ICLR '22: Privacy, Accountability, Interpretability …, 2021
862021
S^3GC: Scalable Self-Supervised Graph Clustering
F Devvrit, A Sinha, I Dhillon, P Jain
Advances in Neural Information Processing Systems 35, 3248-3261, 2022
442022
IGLU: Efficient GCN Training via Lazy Updates
SD Narayanan*, A Sinha*, P Jain, P Kar, S Sellamanickam
The Tenth International Conference on Learning Representations (ICLR '22), 2021
162021
Matryoshka representation learning, 2024
A Kusupati, G Bhatt, A Rege, M Wallingford, A Sinha, V Ramanujan, ...
URL https://arxiv. org/abs/2205.13147, 0
16
Learning Structured Representations with Hyperbolic Embeddings
A Sinha, S Zeng, M Yamada, H Zhao
Advances in Neural Information Processing Systems 37, 91220-91259, 2024
92024
Matryoshka representations for adaptive deployment
A Kusupati, G Bhatt, A Rege, M Wallingford, A Sinha, V Ramanujan, ...
SSL@NeurIPS '22 Workshop, 2022
72022
Scalable Self-Supervised Graph Clustering
P Jain, IS Dhillon, F Devvrit, A Sinha
US Patent App. 18/485,457, 2024
2024
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information
A Budhiraja, G Hiranandani, D Chhatbar, A Sinha, N Yarrabelly, A Choure, ...
arXiv preprint arXiv:2001.10495, 2020
2020
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Articles 1–9