Stochastic Negative Mining for Learning with Large Output Spaces

Stochastic Negative Mining for Learning with Large Output Spaces

16 October 2018

Sashank J. Reddi

D. Holtmann-Rice

Sanjiv Kumar

Papers citing "Stochastic Negative Mining for Learning with Large Output Spaces"

18 / 18 papers shown

Title
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification Siddhant Kharbanda Devaansh Gupta K. Gururaj Pankaj Malhotra Cho-Jui Hsieh Rohit Babbar Rohit Babbar 49 0 0 04 May 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 36 7 0 28 Mar 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 46 0 0 28 Feb 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 30 8 0 24 Oct 2023
Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU Erik Schultheis Rohit Babbar 30 4 0 06 Jun 2023
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 38 32 0 18 Jul 2022
NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya Nilesh Gupta Deepak Saini Akshay Soni Yajun Wang ... Sonu Mehta Ramachandran Ramjee Sumeet Agarwal Purushottam Kar Manik Varma 44 35 0 10 Jul 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 37 44 0 21 Dec 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 35 30 0 24 Aug 2021
Extreme Multi-label Learning for Semantic Matching in Product Search Wei-Cheng Chang Daniel Jiang Hsiang-Fu Yu C. Teo Jiong Zhang ... Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov Japinder Singh Inderjit S. Dhillon 45 59 0 23 Jun 2021
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Marius Kloft 27 9 0 29 Apr 2021
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling Wenxuan Zhou Kevin Huang Tengyu Ma Jing Huang 24 273 0 21 Oct 2020
Unbiased Loss Functions for Extreme Classification With Missing Labels Erik Schultheis Mohammadreza Qaraei Priyanshu Gupta Rohit Babbar 14 6 0 01 Jul 2020
Optimistic bounds for multi-output prediction Henry W. J. Reeve A. Kabán 26 8 0 22 Feb 2020
Pre-training Tasks for Embedding-based Large-scale Retrieval Wei-Cheng Chang Felix X. Yu Yin-Wen Chang Yiming Yang Sanjiv Kumar RALM 13 301 0 10 Feb 2020
Sampled Softmax with Random Fourier Features A. S. Rawat Jiecao Chen Felix X. Yu A. Suresh Sanjiv Kumar 39 55 0 24 Jul 2019
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization Kenji Kawaguchi Haihao Lu ODL 22 62 0 09 Jul 2019
Taming Pretrained Transformers for Extreme Multi-label Text Classification Wei-Cheng Chang Hsiang-Fu Yu Kai Zhong Yiming Yang Inderjit Dhillon 25 20 0 07 May 2019