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. 2307.11344
  4. Cited By
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For
  Product Defect Triage in e-Commerce

DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce

21 July 2023
Ipsita Mohanty
ArXivPDFHTML

Papers citing "DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce"

13 / 13 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
194
30,069
0
01 Mar 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
51
57
0
22 Dec 2021
Emotions are Subtle: Learning Sentiment Based Text Representations Using
  Contrastive Learning
Emotions are Subtle: Learning Sentiment Based Text Representations Using Contrastive Learning
Ipsita Mohanty
Ankit Goyal
Alexander Dotterweich
15
3
0
02 Dec 2021
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
46
297
0
18 Oct 2021
Improved Text Classification via Contrastive Adversarial Training
Improved Text Classification via Contrastive Adversarial Training
Lin Pan
Chung-Wei Hang
Avirup Sil
Saloni Potdar
AAML
38
87
0
21 Jul 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A
  Contrastive-Regularized Self-Training Approach
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu
Simiao Zuo
Haoming Jiang
Wendi Ren
T. Zhao
Chao Zhang
AI4MH
30
133
0
15 Oct 2020
Students Need More Attention: BERT-based AttentionModel for Small Data
  with Application to AutomaticPatient Message Triage
Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage
Shijing Si
Rui Wang
Jedrek Wosik
Hao Zhang
D. Dov
Guoyin Wang
Ricardo Henao
Lawrence Carin
47
26
0
22 Jun 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and
  Adversarial Training in NLP
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
John X. Morris
Eli Lifland
Jin Yong Yoo
J. E. Grigsby
Di Jin
Yanjun Qi
SILM
109
69
0
29 Apr 2020
A multi-label, dual-output deep neural network for automated bug
  triaging
A multi-label, dual-output deep neural network for automated bug triaging
Christopher A. Choquette-Choo
D. Sheldon
J. Proppe
John Alphonso-Gibbs
Harsha Gupta
28
13
0
13 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug
  Triaging
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani
A. Sankaran
Rahul Aralikatte
54
130
0
04 Jan 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
69
1,021
0
28 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
514
129,831
0
12 Jun 2017
1