Aditya Desai - RankMe

43 papers A* 9B 1Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SOCKET: SOft Collison Kernel EsTimator for Sparse Attention. CoRR Sahil Joshi, Agniva Chowdhury, Wyatt Bellinger, Amar Kanakamedala, Ekam Singh, Hoang Anh Duy Le, Aditya Desai, Anshumali Shrivastava
2025	J	`jnl`	Barbarians at the Gate: How AI is Upending Systems Research. CoRR Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Bowen Wang, Alex Krentsel, Tian Xia, Mert Cemri, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica
2025	A*	`conf`	HashAttention: Semantic Sparsity for Faster Inference. ICML Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2025	—	`conf`	IDentity with Locality: An Ideal Hash for Gene Sequence Search. KDD (1) Tianyi Zhang, Gaurav Gupta, Aditya Desai, Anshumali Shrivastava
2025	J	`jnl`	Let the Barbarians In: How AI Can Accelerate Systems Performance Research. CoRR Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Shubham Agarwal, Mert Cemri, Bowen Wang, Alexander Krentsel, Tian Xia, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Ashwin Naren, Shulu Li, Ruiying Ma, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica
2025	A*	`conf`	Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation. ICML Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava
2025	J	`jnl`	The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks. CoRR Alejandro Cuadron, Dacheng Li, Wenjie Ma, Xingyao Wang, Yichuan Wang, Siyuan Zhuang, Shu Liu, Luis Gaspar Schroeder, Tian Xia, Huanzhi Mao, Nicholas Thumiger, Aditya Desai, Ion Stoica, Ana Klimovic, Graham Neubig, Joseph E. Gonzalez
2025	J	`jnl`	vAttention: Verified Sparse Attention. CoRR Aditya Desai, Kumar Krishna Agrawal, Shuo Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	HashAttention: Semantic Sparsity for Faster Inference. CoRR Aditya Desai, Shuo Yang, Alejandro Cuadron, Ana Klimovic, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	IDentity with Locality: An ideal hash for gene sequence search. CoRR Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava
2024	A*	`conf`	In defense of parameter sharing for model-compression. ICLR Aditya Desai, Anshumali Shrivastava
2024	A*	`conf`	SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform. NeurIPS Aditya Desai, Kimia Saedi, Apoorv Walia, Jihyeong Lee, Keren Zhou, Anshumali Shrivastava
2024	B	`conf`	Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. FG Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha
2023	A*	`conf`	Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. ICML Aditya Desai, Keren Zhou, Anshumali Shrivastava
2023	J	`jnl`	Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava
2023	J	`jnl`	In defense of parameter sharing for model-compression. CoRR Aditya Desai, Anshumali Shrivastava
2023	J	`jnl`	Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 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
2023	A*	`conf`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	J	`jnl`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2022	J	`jnl`	Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. CoRR Aditya Desai, Keren Zhou, Anshumali Shrivastava
2022	—	`conf`	Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys Aditya Desai, Li Chou, Anshumali Shrivastava
2022	J	`jnl`	Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 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
2022	A*	`conf`	The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model. NeurIPS Aditya Desai, Anshumali Shrivastava
2022	J	`jnl`	The trade-offs of model size in large recommendation models : A 10000 × compressed criteo-tb DLRM model (100 GB parameters to mere 10MB). CoRR Aditya Desai, Anshumali Shrivastava
2021	—	`conf`	Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
2021	J	`jnl`	An efficient neural-network model for real-time fault detection in industrial machine. Neural Comput. Appl. Amar Kumar Verma, Shivika Nagpal, Aditya Desai, Radhika Sudha
2021	J	`jnl`	Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. CoRR Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
2021	J	`jnl`	Density Sketches for Sampling and Estimation. CoRR Aditya Desai, Benjamin Coleman, Anshumali Shrivastava
2021	J	`jnl`	Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. CoRR Aditya Desai, Li Chou, Anshumali Shrivastava
2021	A*	`conf`	Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler. NeurIPS Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
2021	J	`jnl`	Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava
2021	J	`jnl`	Smart Car Features using Embedded Systems and IoT. CoRR Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam
2020	J	`jnl`	Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
2016	A*	`conf`	Program synthesis using natural language. ICSE Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy
2015	J	`jnl`	A Full Body Steerable Wind Display for a Locomotion Interface. IEEE Trans. Vis. Comput. Graph. Sandip D. Kulkarni, Charles Fisher, Price Lefler, Aditya Desai, Shanthanu Chakravarthy, Eric R. Pardyjak, Mark A. Minor, John M. Hollerbach
2015	J	`jnl`	Program Synthesis using Natural Language. CoRR Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy
2014	—	`conf`	Inbuilt Multiband Microstrip Antenna for Portable Devices. SIRS Aditya Desai, Deepak C. Karia, Madhuri Bhujbal
2014	—	`conf`	Wideband printed dipole antenna with embedded loops and coupling patches for digital TV signal reception. ICACCI Deepak C. Karia, Madhuri Bhujbal, Aditya Desai
2013	—	`conf`	Facilitating Verification in Program Loops by Identification of Static Iteration Patterns. APSEC (1) Aditya Desai, Era Jain, Subhajit Roy
2011	—	`conf`	DISC: Data-Intensive Similarity Measure for Categorical Data. PAKDD (2) Aditya Desai, Himanshu Singh, Vikram Pudi
2011	—	`conf`	Knowledge management and software testing. ICWET Aditya Desai, S. Shah
2010	—	`conf`	PAGER: Parameterless, Accurate, Generic, Efficient DEXA (2) Himanshu Singh, Aditya Desai, Vikram Pudi
2010	—	`conf`	SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. KDIR Aditya Desai, Himanshu Singh, Vikram Pudi