Tharun Medini

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Semantic Similarity

Text Classification

Top Venues

Publications

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