Yashoteja Prabhu

Orcid: 0009-0005-8595-8166

According to our database1, Yashoteja Prabhu authored at least 12 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.
CoRR, 2024

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization.
CoRR, 2023

2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems.
CoRR, 2022

2021
Generalized Zero-Shot Extreme Multi-label Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Extreme Regression for Dynamic Search Advertising.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2018
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2016
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages.
Proceedings of the 22nd International World Wide Web Conference, 2013


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