ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.03956
  4. Cited By
Incremental Skip-gram Model with Negative Sampling
v1v2 (latest)

Incremental Skip-gram Model with Negative Sampling

13 April 2017
Nobuhiro Kaji
Hayato Kobayashi
ArXiv (abs)PDFHTML

Papers citing "Incremental Skip-gram Model with Negative Sampling"

13 / 13 papers shown
Title
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive
  Review
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review
C. M. Garcia
Ramon Simoes Abilio
A. L. Koerich
A. Britto
J. P. Barddal
AI4TS
85
5
0
05 Dec 2023
Short term prediction of demand for ride hailing services: A deep
  learning approach
Short term prediction of demand for ride hailing services: A deep learning approach
Long Chen
Piyushimita
P. Thakuriah
K. Ampountolas
AI4TS
59
22
0
07 Dec 2022
Continual learning in cross-modal retrieval
Continual learning in cross-modal retrieval
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
49
14
0
14 Apr 2021
Domain-Embeddings Based DGA Detection with Incremental Training Method
Domain-Embeddings Based DGA Detection with Incremental Training Method
Xin Fang
Xiaoqing Sun
Jiahai Yang
Xinran Liu
18
12
0
21 Sep 2020
Capturing Evolution in Word Usage: Just Add More Clusters?
Capturing Evolution in Word Usage: Just Add More Clusters?
Matej Martinc
Syrielle Montariol
Elaine Zosa
Lidia Pivovarova
104
47
0
18 Jan 2020
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
Matej Martinc
Petra Kralj Novak
Senja Pollak
70
72
0
02 Dec 2019
Dynamic Network Embedding via Incremental Skip-gram with Negative
  Sampling
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Hao Peng
Jianxin Li
Haozheng Yan
Qiran Gong
Senzhang Wang
Lin Liu
Lihong Wang
Xiang Ren
52
33
0
09 Jun 2019
Dynamic Node Embeddings from Edge Streams
Dynamic Node Embeddings from Edge Streams
J. B. Lee
G. Nguyen
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
AI4TS
57
6
0
12 Apr 2019
dynnode2vec: Scalable Dynamic Network Embedding
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
73
114
0
06 Dec 2018
Diachronic word embeddings and semantic shifts: a survey
Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov
Lilja Øvrelid
Terrence Szymanski
Erik Velldal
AI4TS
73
304
0
09 Jun 2018
Sketching Linear Classifiers over Data Streams
Sketching Linear Classifiers over Data Streams
Kai Sheng Tai
Vatsal Sharan
Peter Bailis
Gregory Valiant
21
1
0
07 Nov 2017
Temporal dynamics of semantic relations in word embeddings: an
  application to predicting armed conflict participants
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
Andrey Kutuzov
Erik Velldal
Lilja Øvrelid
55
14
0
26 Jul 2017
Streaming Word Embeddings with the Space-Saving Algorithm
Streaming Word Embeddings with the Space-Saving Algorithm
Chandler May
Kevin Duh
Benjamin Van Durme
Ashwin Lall
39
12
0
24 Apr 2017
1