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Publication search results
found 51 matches
- 2024
- Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha:
Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. FG 2024: 1-6 - Aditya Desai, Anshumali Shrivastava:
In defense of parameter sharing for model-compression. ICLR 2024 - Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava:
IDentity with Locality: An ideal hash for gene sequence search. CoRR abs/2406.14901 (2024) - Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024) - 2023
- Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Aditya Konduri:
Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows. J. Comput. Phys. 477: 111906 (2023) - Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. Trans. Mach. Learn. Res. 2023 (2023) - Aditya Desai, Keren Zhou, Anshumali Shrivastava:
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. ICML 2023: 7732-7749 - Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava:
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS 2023 - Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava:
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR abs/2305.17118 (2023) - Aditya Desai, Anshumali Shrivastava:
In defense of parameter sharing for model-compression. CoRR abs/2310.11611 (2023) - Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava:
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR abs/2311.01722 (2023) - 2022
- Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022) - Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys 2022 - Aditya Desai, Anshumali Shrivastava:
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model. NeurIPS 2022 - Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. CoRR abs/2203.13944 (2022) - Aditya Desai, Keren Zhou, Anshumali Shrivastava:
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. CoRR abs/2207.10702 (2022) - Aditya Desai, Anshumali Shrivastava:
The trade-offs of model size in large recommendation models : A 10000 × compressed criteo-tb DLRM model (100 GB parameters to mere 10MB). CoRR abs/2207.10731 (2022) - 2021
- Amar Kumar Verma, Shivika Nagpal, Aditya Desai, Radhika Sudha:
An efficient neural-network model for real-time fault detection in industrial machine. Neural Comput. Appl. 33(4): 1297-1310 (2021) - Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava:
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler. NeurIPS 2021: 8740-8752 - Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava:
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference 2021: 352-364 - Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam:
Smart Car Features using Embedded Systems and IoT. CoRR abs/2101.00496 (2021) - Aditya Desai, Benjamin Coleman, Anshumali Shrivastava:
Density Sketches for Sampling and Estimation. CoRR abs/2102.12301 (2021) - Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava:
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. CoRR abs/2102.13631 (2021) - Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava:
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR abs/2103.06124 (2021) - Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. CoRR abs/2108.02191 (2021) - 2020
- Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava:
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR abs/2010.15951 (2020) - 2016
- Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy:
Program synthesis using natural language. ICSE 2016: 345-356 - 2015
- Sandip D. Kulkarni, Charles Fisher, Price Lefler, Aditya Desai, Shanthanu Chakravarthy, Eric R. Pardyjak, Mark A. Minor, John M. Hollerbach:
A Full Body Steerable Wind Display for a Locomotion Interface. IEEE Trans. Vis. Comput. Graph. 21(10): 1146-1159 (2015)
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