Tharun Medini

According to our database, Tharun Medini authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware.

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

CoRR, 2023

From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.

Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity.

Minghao Yan, Nicholas Meisburger, Tharun Medini, Anshumali Shrivastava

CoRR, 2022

BLISS: A Billion scale Index using Iterative Re-partitioning.

Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification.

Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

IRLI: Iterative Re-partitioning for Learning to Index.

Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola

CoRR, 2021

SDM-Net: A simple and effective model for generalized zero-shot learning.

Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO).

Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

A Tale of Two Efficient and Informative Negative Sampling Distributions.

Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava

Proceedings of the 38th International Conference on Machine Learning, 2021

SOLAR: Sparse Orthogonal Learned and Random Embeddings.

Tharun Medini, Beidi Chen, Anshumali Shrivastava

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Constant-time Adaptive Negative Sampling.

Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava

CoRR, 2020

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems.

Beidi Chen, Tharun Medini, James Farwell, Sameh Gobriel, Tsung-Yuan Charlie Tai, Anshumali Shrivastava

Proceedings of Machine Learning and Systems 2020, 2020

2019

RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time.

Gaurav Gupta, Benjamin Coleman, Tharun Medini, Vijai Mohan, Anshumali Shrivastava

CoRR, 2019

Semantic Similarity Based Softmax Classifier for Zero-Shot Learning.

Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava

CoRR, 2019

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems.

Beidi Chen, Tharun Medini, Anshumali Shrivastava

CoRR, 2019

Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products.

Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling.

Shabnam Daghaghi, Anshumali Shrivastava, Tharun Medini

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

2018

Extreme Classification in Log Memory.

Qixuan Huang, Yiqiu Wang, Tharun Medini, Anshumali Shrivastava

CoRR, 2018