Infrared (IR) communication technologies are probably one of the most influential, yet also one of the least flashiest. The fact that IR communication tends to be highly directional and often ...

本文深入剖析Encoder-only、Decoder-only与Encoder-Decoder三类Transformer架构的底层差异与工程适配性。重点涵盖注意力机制（双向/单向 ...

Sleep has been shown to affect memory consolidation, and several studies have investigated the underlying mechanisms. However, how positive or negative memories affect sleep architecture remains to be ...

How to use nvidia/NVIDIA-Nemotron-Parse-v1.1-TC with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Recent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as ...

Recently, there has been an increasing concern about the privacy issue raised by using personally identifiable information in machine learning. However, previous portrait matting methods were all ...

Transformer是一个seq2seq模型，其encoder主要使用self-attention，decoder则包括autoregressive和non-autoregressive两种方式。模型中采用残差网络结构和LayerNormalization，并通过crossattention在encoder和decoder间传递信息。

Drought is one of the most ecologically and economically devastating natural phenomena affecting the United States, causing the U.S. economy billions of dollars in damage, and driving widespread ...

This paper proposes a semisupervised deep neural regression network with embedding manifold (SSE-DNN) for soft sensor modeling that integrates manifold embedding into deep neural regression networks.

One of the quintessential topics in quantum information theory is the study of reliable quantum information transmission over noisy quantum channels. Here ‘channel’ simply refers to a description of a ...