Bottleneck
عنق الزجاجة
طبقة ذات أبعاد أقل بكثير من المُدخَل والمُخرَج، تُجبر المعلومات على المرور عبر تمثيل مضغوط.
A layer with much fewer dimensions than its input and output, forcing information through a compressed representation.
Also translated asالاختناق، الاختناق البنيوي، العنق الضيق، الممر الضيق للمعلومات
First appears in this corpus in: Dynamic Programming (1957)
Appears in these papers
- Parameter-Efficient Transfer Learning for NLP2019in the sky ✦
- Parameter-Efficient Transfer Learning for NLP2019in the sky ✦
- Neural Machine Translation by Jointly Learning to Align and Translate2014in the sky ✦
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017in the sky ✦
- A Learning Algorithm for Boltzmann Machines1985in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
- Training Data-Efficient Image Transformers & Distillation Through Attention2021in the sky ✦
- Extracting and Composing Robust Features with Denoising Autoencoders2008in the sky ✦
- Densely Connected Convolutional Networks2017in the sky ✦
- Densely Connected Convolutional Networks2017in the sky ✦
- Learning Distributed Representations of Concepts1986in the sky ✦
- Dynamic Programming1957in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- FaceNet: A Unified Embedding for Face Recognition and Clustering2015in the sky ✦
- Going Deeper with Convolutions2014in the sky ✦
- Going Deeper with Convolutions2014in the sky ✦
- Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021in the sky ✦
- Jukebox: A Generative Model for Music2020in the sky ✦
- High-Resolution Image Synthesis with Latent Diffusion Models2022in the sky ✦
- LoRA: Low-Rank Adaptation of Large Language Models2021in the sky ✦
- Perceiver: General Perception with Iterative Attention2021in the sky ✦
- Perceiver: General Perception with Iterative Attention2021in the sky ✦
- Image-to-Image Translation with Conditional Adversarial Networks2017in the sky ✦
- Representation Learning: A Review and New Perspectives2013in the sky ✦
- Representation Learning: A Review and New Perspectives2013in the sky ✦
- Squeeze-and-Excitation Networks2018in the sky ✦
- Sequence to Sequence Learning with Neural Networks2014in the sky ✦
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015in the sky ✦
- Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996in the sky ✦
- Fast Inference from Transformers via Speculative Decoding2023in the sky ✦
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015in the sky ✦
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦