Vihan Lakshman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Randomized Algorithm

Top Venues

Publications

Etash Guha, Vihan Lakshman
On the Diminishing Returns of Width for Continual Learning. CoRR (2024)
Gaurav Gupta, Jonah Yi, Benjamin Coleman, Chen Luo, Vihan Lakshman, Anshumali Shrivastava
CAPS: A Practical Partition Index for Filtered Similarity Search. CoRR (2023)
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)
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries. NeurIPS (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)
Benjamin Coleman, David Torres Ramos, Vihan Lakshman, Chen Luo, Anshumali Shrivastava
CARAMEL: A Succinct Read-Only Lookup Table via Compressed Static Functions. CoRR (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)
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries. CoRR (2022)
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
Massive Text Normalization via an Efficient Randomized Algorithm. WWW (2022)
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin
ROSE: Robust Caches for Amazon Product Search. WWW (Companion Volume) (2022)
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
A Fast Randomized Algorithm for Massive Text Normalization. CoRR (2021)
Anthony Ko, Iman Keivanloo, Vihan Lakshman, Eric Schkufza
Low-Precision Quantization for Efficient Nearest Neighbor Search. CoRR (2021)
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, S. V. N. Vishwanathan
Embracing Structure in Data for Billion-Scale Semantic Product Search. CoRR (2021)
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
Semantic Product Search. CoRR (2019)
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
Semantic Product Search. KDD (2019)