腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...
Frontiers

1DCNN-BiLSTM-transformer hypertension risk prediction model based on APW

Introduction: Hypertension has a multifactorial etiology. Recent studies have revealed a link between hypertension and gut microbiota dysbiosis. Pulse wave analysis holds significant clinical value ...
IEEE

A Novel Transformer–CBAM Module Network Toward Practically Viable Applications of Ground ...

Abstract: Ground penetrating radar (GPR) is a nondestructive geophysical tool that emits electromagnetic (EM) waves and captures their echoes to image subsurface structures. However, criticism of ...
Frontiers

RCTNet: Residual conv-attention transformer network for corn hyperspectral image classification

Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...
Scientific Research Publishing

Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function ()

Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately recognizing ...
GitHub

No module named 'transformers.cache_utils'

when I run the command: python bunny/run_mdpo_bunny.py, error occured: ModuleNotFoundError: No module named 'transformers.cache_utils'. I did some research online ...
InAVate

Audac launches optional TRM series 70/100V transformer modules

Audac has announced new 70/100V transformer module options for the Vexo series, which can be optionally implemented in the passive variants of the Vexo series. Installation is achieved by removing the ...
IEEE

Fault Diagnosis of Transformer Circuit Module based on Data Mining

Abstract: The transformer circuit module is usually affected by vibration, moisture, and failure is difficult to predict. This paper proposes an analogue circuit fault diagnosis method based on ...