Web: http://arxiv.org/abs/2209.06946

Sept. 16, 2022, 1:16 a.m. | Huy Nguyen, Devashish Khatwani

cs.CL updates on arXiv.org arxiv.org

Noisy labels in large E-commerce product data (i.e., product items are placed
into incorrect categories) are a critical issue for product categorization task
because they are unavoidable, non-trivial to remove and degrade prediction
performance significantly. Training a product title classification model which
is robust to noisy labels in the data is very important to make product
classification applications more practical. In this paper, we study the impact
of instance-dependent noise to performance of product title classification by
comparing our data …

arxiv classification noise product

More from arxiv.org / cs.CL updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Computational Linguist

@ Constant Contact | Waterloo, ON/Hybrid, ON

Senior Data Scientist

@ Advian | Espoo, Finland

Data Scientist, EU In-stock Management

@ Gopuff | London, England