| 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 | 185 | 2016 |
| 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 | 146 | 2024 |
| 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 | 34* | 2022 |
| 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 | 11 | 2021 |
| 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 | 9 | 2022 |
| 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 | 9 | 2021 |
| 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 | 8 | 2021 |
| 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 | 4* | 2023 |
| In defense of parameter sharing for model-compression A Desai, A Shrivastava arXiv preprint arXiv:2310.11611, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| HashOrder: Accelerating Graph Processing Through Hashing-based Reordering T Zhang, A Desai, G Gupta, A Shrivastava | 1 | 2023 |
| 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 | 1 | 2021 |
| Density Sketches for Sampling and Estimation A Desai, B Coleman, A Shrivastava arXiv preprint arXiv:2102.12301, 2021 | 1 | 2021 |
| 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 | 1 | 2013 |
| HashAttention: Semantic Sparsity for Faster Inference A Desai, S Yang, A Cuadron, A Klimovic, M Zaharia, JE Gonzalez, I Stoica arXiv preprint arXiv:2412.14468, 2024 | | 2024 |
| IDentity with Locality: An ideal hash for gene sequence search A Desai, G Gupta, T Zhang, A Shrivastava arXiv preprint arXiv:2406.14901, 2024 | | 2024 |
| SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform A Desai, K Saedi, A Walia, J Lee, K Zhou, A Shrivastava The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| Embedding models through the lens of Stable Coloring A Desai, S Sonkar, A Shrivastava, R Baraniuk | | |
Anshumali ShrivastavaRice University, ThirdAI Corp.Verified email at rice.edu