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Aditya Desai
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Year
Program synthesis using natural language
A Desai, S Gulwani, V Hingorani, N Jain, A Karkare, M Marron, S Roy
Proceedings of the 38th International Conference on Software Engineering …, 2016
1552016
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems
A Desai, L Chou, A Shrivastava
Proceedings of Machine Learning and Systems 4, 762-778, 2022
21*2022
Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time
Z Liu, A Desai, F Liao, W Wang, V Xie, Z Xu, A Kyrillidis, A Shrivastava
Advances in Neural Information Processing Systems 36, 2024
172024
Semantically constrained memory allocation (scma) for embedding in efficient recommendation systems
A Desai, Y Pan, K Sun, L Chou, A Shrivastava
arXiv preprint arXiv:2103.06124, 2021
92021
Raw nav-merge seismic data to subsurface properties with mlp based multi-modal information unscrambler
A Desai, Z Xu, M Gupta, A Chandran, A Vial-Aussavy, A Shrivastava
Advances in Neural Information Processing Systems 34, 8740-8752, 2021
82021
The trade-offs of model size in large recommendation models: 100GB to 10MB Criteo-tb DLRM model
A Desai, A Shrivastava
Advances in Neural Information Processing Systems 35, 33961-33972, 2022
52022
Active sampling count sketch (ascs) for online sparse estimation of a trillion scale covariance matrix
Z Dai, A Desai, R Heckel, A Shrivastava
Proceedings of the 2021 International Conference on Management of Data, 352-364, 2021
52021
Hardware-aware compression with random operation access specific tile (ROAST) hashing
A Desai, K Zhou, A Shrivastava
International Conference on Machine Learning, 7732-7749, 2023
2*2023
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces
A Desai, B Meisburger, Z Liu, A Shrivastava
arXiv preprint arXiv:2311.01722, 2023
12023
The trade-offs of model size in large recommendation models: A 10000x compressed criteo-TB DLRM model (100 GB parameters to mere 10MB)
A Desai, A Shrivastava
Advances in Neural Information Processing Systems 2022 (NeurIPS 2022), 2022
12022
Beyond convolutions: A novel deep learning approach for raw seismic data ingestion
Z Xu, A Desai, M Gupta, A Chandran, A Vial-Aussavy, A Shrivastava
arXiv preprint arXiv:2102.13631, 2021
12021
Density Sketches for Sampling and Estimation
A Desai, B Coleman, A Shrivastava
arXiv preprint arXiv:2102.12301, 2021
12021
Facilitating Verification in Program Loops by Identification of Static Iteration Patterns
A Desai, E Jain, S Roy
2013 20th Asia-Pacific Software Engineering Conference (APSEC) 1, 83-90, 2013
12013
In defense of parameter sharing for model-compression
A Desai, A Shrivastava
arXiv preprint arXiv:2310.11611, 2023
2023
HashOrder: Accelerating Graph Processing Through Hashing-based Reordering
T Zhang, A Desai, G Gupta, A Shrivastava
2023
Embedding models through the lens of Stable Coloring
A Desai, S Sonkar, A Shrivastava, R Baraniuk
2021
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Articles 1–16