51 citations · 77 across the 20 of their papers we have counts for
5 papers · 1 filter
GMTR: Graph Matching Transformers
Jinpei Guo, Shaofeng Zhang, Runzhong Wang +2
Vision transformers (ViTs) have recently been used for visual matching beyond object detection and segmentation. However, the original grid dividing strategy of ViTs neglects the s…
Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification
Mohammed Maqsood Shaik, Dietrich Klakow, Badr M. Abdullah
Pre-trained Transformer-based speech models have shown striking performance when fine-tuned on various downstream tasks such as automatic speech recognition and spoken language ide…
Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter
Song Li, Yongbin You, Xuezhi Wang +2
Multilingual intelligent assistants, such as ChatGPT, have recently gained popularity. To further expand the applications of multilingual artificial intelligence assistants and fac…
Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control
Yuding Liu, Dongzhu Liu, Guangxu Zhu +2
Over-the-air federated edge learning (Air-FEEL) is a communication-efficient framework for distributed machine learning using training data distributed at edge devices. This framew…
Why Batch Normalization Damage Federated Learning on Non-IID Data?
Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang
As a promising distributed learning paradigm, federated learning (FL) involves training deep neural network (DNN) models at the network edge while protecting the privacy of the edg…