Embedding

التضمين

تمثيل متجهي كثيف ثابت الحجم لعنصر منفصل (كلمة، صورة، رمز) في فضاء متجهي متصل حيث يعكس القرب الهندسي التشابه الدلالي.

A dense, fixed-size vector representation of a discrete object (word, image, token) in a continuous vector space where geometric proximity reflects semantic similarity.

Also translated asالتضمين الرقمي، التمثيل الشعاعي الكثيف، التمثيل المتجهي، المتجه التضميني، تضمين دلالي

First appears in this corpus in: A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence (1956)

Appears in these papers

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Adam: A Method for Stochastic Optimization2014 in the sky ✦
Parameter-Efficient Transfer Learning for NLP2019 in the sky ✦
ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision2021 in the sky ✦
Highly Accurate Protein Structure Prediction with AlphaFold2021 in the sky ✦
Atlas: Few-shot Learning with Retrieval Augmented Language Models2023 in the sky ✦
Learning Representations by Back-Propagating Errors1986 in the sky ✦
Barlow Twins: Self-Supervised Learning via Redundancy Reduction2021 in the sky ✦
Barlow Twins: Self-Supervised Learning via Redundancy Reduction2021 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
BEiT: BERT Pre-Training of Image Transformers2021 in the sky ✦
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding2018 in the sky ✦
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019 in the sky ✦
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019 in the sky ✦
BLEU: A Method for Automatic Evaluation of Machine Translation2002 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022 in the sky ✦
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022 in the sky ✦
Neural Machine Translation of Rare Words with Subword Units2016 in the sky ✦
Chronos: Learning the Language of Time Series2024 in the sky ✦
Classifier-Free Diffusion Guidance2022 in the sky ✦
Learning Transferable Visual Models from Natural Language Supervision2021 in the sky ✦
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT2020 in the sky ✦
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT2020 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022 in the sky ✦
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022 in the sky ✦
Representation Learning with Contrastive Predictive Coding2018 in the sky ✦
DALL·E: Zero-Shot Text-to-Image Generation2021 in the sky ✦
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention2020 in the sky ✦
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention2020 in the sky ✦
Decision Transformer: Reinforcement Learning via Sequence Modeling2021 in the sky ✦
Decision Transformer: Reinforcement Learning via Sequence Modeling2021 in the sky ✦
Deep Learning2015 in the sky ✦
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020 in the sky ✦
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020 in the sky ✦
DeepSeek-V3 Technical Report2024 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 in the sky ✦
Training Data-Efficient Image Transformers & Distillation Through Attention2021 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
DINOv2: Learning Robust Visual Features Without Supervision2023 in the sky ✦
DINOv2: Learning Robust Visual Features Without Supervision2023 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Are Transformers Effective for Time Series Forecasting?2023 in the sky ✦
Face Recognition Using Eigenfaces1991 in the sky ✦
ELIZA — A Computer Program for the Study of Natural Language Communication1966 in the sky ✦
Deep Contextualized Word Representations2018 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Billion-Scale Similarity Search with GPUs2017 in the sky ✦
Billion-Scale Similarity Search with GPUs2017 in the sky ✦
The Falcon Series of Open Language Models2023 in the sky ✦
Enriching Word Vectors with Subword Information2017 in the sky ✦
Flamingo: a Visual Language Model for Few-Shot Learning2022 in the sky ✦
Finetuned Language Models Are Zero-Shot Learners2022 in the sky ✦
A Generalist Agent2022 in the sky ✦
A Generalist Agent2022 in the sky ✦
Gemini: A Family of Highly Capable Multimodal Models2023 in the sky ✦
Gemma: Open Models Based on Gemini Research and Technology2024 in the sky ✦
Gemma: Open Models Based on Gemini Research and Technology2024 in the sky ✦
Generative Agents: Interactive Simulacra of Human Behavior2023 in the sky ✦
Generative Agents: Interactive Simulacra of Human Behavior2023 in the sky ✦
GloVe: Global Vectors for Word Representation2014 in the sky ✦
Improving Language Understanding by Generative Pre-Training2018 in the sky ✦
Do Transformers Really Perform Bad for Graph Representation?2021 in the sky ✦
Do Transformers Really Perform Bad for Graph Representation?2021 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022 in the sky ✦
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023 in the sky ✦
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels2022 in the sky ✦
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels2022 in the sky ✦
ImageBind: One Embedding Space to Bind Them All2023 in the sky ✦
Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2022 in the sky ✦
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures2018 in the sky ✦
Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021 in the sky ✦
Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021 in the sky ✦
Amazon.com Recommendations: Item-to-Item Collaborative Filtering2003 in the sky ✦
Jukebox: A Generative Model for Music2020 in the sky ✦
Jukebox: A Generative Model for Music2020 in the sky ✦
Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes2019 in the sky ✦
"Why Should I Trust You?": Explaining the Predictions of Any Classifier2016 in the sky ✦
"Why Should I Trust You?": Explaining the Predictions of Any Classifier2016 in the sky ✦
The Llama 3 Herd of Models2024 in the sky ✦
Visual Instruction Tuning2023 in the sky ✦
LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022 in the sky ✦
Matrix Factorization Techniques for Recommender Systems2009 in the sky ✦
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism2019 in the sky ✦
Momentum Contrast for Unsupervised Visual Representation Learning2020 in the sky ✦
Neural Message Passing for Quantum Chemistry2017 in the sky ✦
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022 in the sky ✦
MusicLM: Generating Music From Text2023 in the sky ✦
Neural Collaborative Filtering2017 in the sky ✦
Neural Collaborative Filtering2017 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
node2vec: Scalable Feature Learning for Networks2016 in the sky ✦
node2vec: Scalable Feature Learning for Networks2016 in the sky ✦
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024 in the sky ✦
OPT: Open Pre-Trained Transformer Language Models2022 in the sky ✦
PaLM: Scaling Language Modeling with Pathways2022 in the sky ✦
A Time Series Is Worth 64 Words: Long-Term Forecasting with Transformers2023 in the sky ✦
Perceiver: General Perception with Iterative Attention2021 in the sky ✦
PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018 in the sky ✦
PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018 in the sky ✦
The Power of Scale for Parameter-Efficient Prompt Tuning2021 in the sky ✦
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks2020 in the sky ✦
REALM: Retrieval-Augmented Language Model Pre-Training2020 in the sky ✦
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned2022 in the sky ✦
RETRO: Improving Language Models by Retrieving from Trillions of Tokens2022 in the sky ✦
Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation2014 in the sky ✦
RoBERTa: A Robustly Optimized BERT Pretraining Approach2019 in the sky ✦
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022 in the sky ✦
Scaling Laws for Neural Language Models2020 in the sky ✦
Segment Anything2023 in the sky ✦
Show and Tell: A Neural Image Caption Generator2015 in the sky ✦
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021 in the sky ✦
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity2022 in the sky ✦
Visualizing Data Using t-SNE2008 in the sky ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
Attention Is All You Need2017 in the sky ✦
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction2018 in the sky ✦
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction2018 in the sky ✦
An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale2020 in the sky ✦
Voyager: An Open-Ended Embodied Agent with Large Language Models2023 in the sky ✦
Voyager: An Open-Ended Embodied Agent with Large Language Models2023 in the sky ✦
VQA: Visual Question Answering2015 in the sky ✦
VQA: Visual Question Answering2015 in the sky ✦
Neural Discrete Representation Learning2017 in the sky ✦
Neural Discrete Representation Learning2017 in the sky ✦
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations2020 in the sky ✦
WaveNet: A Generative Model for Raw Audio2016 in the sky ✦
WebGPT: Browser-Assisted Question-Answering with Human Feedback2021 in the sky ✦
Wide & Deep Learning for Recommender Systems2016 in the sky ✦
Wide & Deep Learning for Recommender Systems2016 in the sky ✦
Distributed Representations of Words and Phrases and Their Compositionality2013 in the sky ✦
Deep Neural Networks for YouTube Recommendations2016 in the sky ✦
Deep Neural Networks for YouTube Recommendations2016 in the sky ✦