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Extreme Multi-label Learning for Semantic Matching in Product Search

Extreme Multi-label Learning for Semantic Matching in Product Search

23 June 2021
Wei-Cheng Chang
Daniel Jiang
Hsiang-Fu Yu
C. Teo
Jiong Zhang
Kai Zhong
K. Kolluri
Qie Hu
Nikhil Shandilya
Vyacheslav Ievgrafov
Japinder Singh
Inderjit S. Dhillon
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Papers citing "Extreme Multi-label Learning for Semantic Matching in Product Search"

10 / 10 papers shown
Title
Multimodal semantic retrieval for product search
Multimodal semantic retrieval for product search
Dong Liu
Esther Lopez Ramos
41
0
0
13 Jan 2025
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang
Bensu Uçar
Soumik Dey
Hansi Wu
Binbin Li
Rui Zhang
47
2
0
10 Jan 2025
Rethinking Prompting Strategies for Multi-Label Recognition with Partial
  Annotations
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
VLM
31
1
0
12 Sep 2024
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
34
5
0
24 Apr 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource
  Security Attack Pattern Recognition
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen
Nedim Srndic
Alexander Neth
AAML
31
3
0
18 Jan 2024
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
19
9
0
21 May 2023
InceptionXML: A Lightweight Framework with Synchronized Negative
  Sampling for Short Text Extreme Classification
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Siddhant Kharbanda
Atmadeep Banerjee
Devaansh Gupta
Akash Palrecha
Rohit Babbar
21
9
0
13 Sep 2021
Large-Scale Training System for 100-Million Classification at Alibaba
Large-Scale Training System for 100-Million Classification at Alibaba
Liuyihan Song
Pan Pan
Kang Zhao
Hao Yang
Yiming Chen
Yingya Zhang
Yinghui Xu
R. L. Jin
32
23
0
09 Feb 2021
LightXML: Transformer with Dynamic Negative Sampling for
  High-Performance Extreme Multi-label Text Classification
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Ting Jiang
Deqing Wang
Leilei Sun
Huayi Yang
Zhengyang Zhao
Fuzhen Zhuang
VLM
115
137
0
09 Jan 2021
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
180
465
0
17 Mar 2020
1