Deepak Saini

Orcid: 0000-0002-6057-4351

According to our database1, Deepak Saini authored at least 15 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks.
CoRR, 2024

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

Graph Regularized Encoder Training for 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

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture.
Int. J. Imaging Syst. Technol., May, 2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Personalized Retrieval over Millions of Items.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Renee: End-To-End Training of Extreme Classification Models.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Deep Encoders with Auxiliary Parameters for Extreme Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DECAF: Deep Extreme Classification with Label Features.
Proceedings of the WSDM '21, 2021

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.
Proceedings of the WSDM '21, 2021

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels.
Proceedings of the 38th International Conference on Machine Learning, 2021


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