Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2304.10321
Cited By

DropDim: A Regularization Method for Transformer Networks

DropDim: A Regularization Method for Transformer Networks

IEEE Signal Processing Letters (IEEE SPL), 2023

20 April 2023

ArXiv (abs)PDF HTML

Papers citing "DropDim: A Regularization Method for Transformer Networks"

5 / 5 papers shown

AttentionDrop: A Novel Regularization Method for Transformer Models

AttentionDrop: A Novel Regularization Method for Transformer Models

Mirza Samad Ahmed Baig

Syeda Anshrah Gillani

Abdul Akbar Khan

Shahid Munir Shah

Muhammad Omer Khan

269

0

0

16 Apr 2025

Reasoning Bias of Next Token Prediction Training

Reasoning Bias of Next Token Prediction Training

Zhongwang Zhang

Zhi-Qin John Xu

495

2

0

21 Feb 2025

Improving Speech Translation by Cross-Modal Multi-Grained Contrastive
Learning

Improving Speech Translation by Cross-Modal Multi-Grained Contrastive LearningIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023

230

19

0

20 Apr 2023

Decouple Non-parametric Knowledge Distillation For End-to-end Speech
Translation

Decouple Non-parametric Knowledge Distillation For End-to-end Speech TranslationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

199

6

0

20 Apr 2023

M3ST: Mix at Three Levels for Speech Translation

M3ST: Mix at Three Levels for Speech TranslationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

317

40

0

07 Dec 2022

Page 1 of 1