Lakshya Kumar

According to our database1, Lakshya Kumar authored at least 9 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Comparing TensorFlow.js and TensorFlow in Python: An Accessibility and Usage Analysis.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

2022
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning.
CoRR, 2022

Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning.
CoRR, 2022

ListBERT: Learning to Rank E-commerce products with Listwise BERT.
CoRR, 2022

2021
Neural Search: Learning Query and Product Representations in Fashion E-commerce.
CoRR, 2021

2020
Deep Contextual Embeddings for Address Classification in E-commerce.
CoRR, 2020

2019
"When Numbers Matter!": Detecting Sarcasm in Numerical Portions of Text.
Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, 2019

2017
"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text.
CoRR, 2017

Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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