Tharun Medini - RankMe

22 papers A* 4A 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware. CoRR Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava
2023	A	`conf`	BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. CIKM Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava
2023	A	`conf`	From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware. RecSys Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain
2022	A*	`conf`	BLISS: A Billion scale Index using Iterative Re-partitioning. KDD Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola
2022	J	`jnl`	Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity. CoRR Minghao Yan, Nicholas Meisburger, Tharun Medini, Anshumali Shrivastava
2022	—	`conf`	Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. EMNLP (Findings) Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava
2021	A*	`conf`	A Tale of Two Efficient and Informative Negative Sampling Distributions. ICML Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
2021	—	`conf`	Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). SIGMOD Conference Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava
2021	J	`jnl`	IRLI: Iterative Re-partitioning for Learning to Index. CoRR Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola
2021	A	`conf`	SDM-Net: A simple and effective model for generalized zero-shot learning. UAI Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava
2021	A*	`conf`	SOLAR: Sparse Orthogonal Learned and Random Embeddings. ICLR Tharun Medini, Beidi Chen, Anshumali Shrivastava
2020	J	`jnl`	A Constant-time Adaptive Negative Sampling. CoRR Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
2020	—	`conf`	SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems. MLSys Beidi Chen, Tharun Medini, James Farwell, Sameh Gobriel, Tsung-Yuan Charlie Tai, Anshumali Shrivastava
2020	J	`jnl`	SOLAR: Sparse Orthogonal Learned and Random Embeddings. CoRR Tharun Medini, Beidi Chen, Anshumali Shrivastava
2019	—	`conf`	Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling. ViGIL@NeurIPS Shabnam Daghaghi, Anshumali Shrivastava, Tharun Medini
2019	A*	`conf`	Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products. NeurIPS Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava
2019	J	`jnl`	Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products. CoRR Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava
2019	J	`jnl`	Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). CoRR Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava
2019	J	`jnl`	RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time. CoRR Gaurav Gupta, Benjamin Coleman, Tharun Medini, Vijai Mohan, Anshumali Shrivastava
2019	J	`jnl`	SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems. CoRR Beidi Chen, Tharun Medini, Anshumali Shrivastava
2019	J	`jnl`	Semantic Similarity Based Softmax Classifier for Zero-Shot Learning. CoRR Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava
2018	J	`jnl`	Extreme Classification in Log Memory. CoRR Qixuan Huang, Yiqiu Wang, Tharun Medini, Anshumali Shrivastava