Training

التدريب

عملية مواءمة معلمات النموذج وأوزانه عبر مراجعة البيانات لتقليل نسبة الخطأ.

Training

Also translated asمواءمة النموذج، التكييف الرقمي

First appears in this corpus in: Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées (1847)

Appears in these papers

Asynchronous Methods for Deep Reinforcement Learning2016 in the sky ✦
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997 in the sky ✦
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Adam: A Method for Stochastic Optimization2014 in the sky ✦
Decoupled Weight Decay Regularization2019 in the sky ✦
Parameter-Efficient Transfer Learning for NLP2019 in the sky ✦
Intriguing Properties of Neural Networks2014 in the sky ✦
AI Safety via Debate2018 in the sky ✦
ImageNet Classification with Deep Convolutional Neural Networks2012 in the sky ✦
ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision2021 in the sky ✦
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware2023 in the sky ✦
Alpaca: A Strong, Replicable Instruction-Following Model2023 in the sky ✦
Mastering the Game of Go Without Human Knowledge2017 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play2018 in the sky ✦
Atlas: Few-shot Learning with Retrieval Augmented Language Models2023 in the sky ✦
Learning Representations by Back-Propagating Errors1986 in the sky ✦
Bagging Predictors1996 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015 in the sky ✦
Practical Bayesian Optimization of Machine Learning Algorithms2012 in the sky ✦
BEiT: BERT Pre-Training of Image Transformers2021 in the sky ✦
Learning Long-Term Dependencies with Gradient Descent is Difficult1994 in the sky ✦
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019 in the sky ✦
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017 in the sky ✦
Neural Networks and the Bias/Variance Dilemma1992 in the sky ✦
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022 in the sky ✦
Okapi at TREC-31994 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
BPR: Bayesian Personalized Ranking from Implicit Feedback2009 in the sky ✦
C4.5: Programs for Machine Learning1993 in the sky ✦
Dynamic Routing Between Capsules2017 in the sky ✦
Classification and Regression Trees1984 in the sky ✦
Training Compute-Optimal Large Language Models2022 in the sky ✦
Chronos: Learning the Language of Time Series2024 in the sky ✦
Classifier-Free Diffusion Guidance2022 in the sky ✦
Evaluating Large Language Models Trained on Code2021 in the sky ✦
Concrete Problems in AI Safety2016 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022 in the sky ✦
A ConvNet for the 2020s2022 in the sky ✦
Representation Learning with Contrastive Predictive Coding2018 in the sky ✦
Conservative Q-Learning for Offline Reinforcement Learning2020 in the sky ✦
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001 in the sky ✦
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks2017 in the sky ✦
Cyclical Learning Rates for Training Neural Networks2017 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 ✦
Denoising Diffusion Implicit Models2021 in the sky ✦
Denoising Diffusion Probabilistic Models2020 in the sky ✦
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention2020 in the sky ✦
Decision Transformer: Reinforcement Learning via Sequence Modeling2021 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015 in the sky ✦
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020 in the sky ✦
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning2025 in the sky ✦
DeepSeek-V3 Technical Report2024 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 in the sky ✦
Deformable Convolutional Networks2017 in the sky ✦
Training Data-Efficient Image Transformers & Distillation Through Attention2021 in the sky ✦
Extracting and Composing Robust Features with Denoising Autoencoders2008 in the sky ✦
K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006 in the sky ✦
Diffusion Models Beat GANs on Image Synthesis2021 in the sky ✦
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
Emerging Properties in Self-Supervised Vision Transformers2021 in the sky ✦
DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter2019 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Are Transformers Effective for Time Series Forecasting?2023 in the sky ✦
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017 in the sky ✦
Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019 in the sky ✦
Deep Reinforcement Learning with Double Q-Learning2016 in the sky ✦
Human-Level Control Through Deep Reinforcement Learning2015 in the sky ✦
Mastering Diverse Domains Through World Models2023 in the sky ✦
Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014 in the sky ✦
Dueling Network Architectures for Deep Reinforcement Learning2016 in the sky ✦
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019 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 ✦
Emergent Abilities of Large Language Models2022 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
The Falcon Series of Open Language Models2023 in the sky ✦
Fast R-CNN2015 in the sky ✦
Enriching Word Vectors with Subword Information2017 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 in the sky ✦
Explaining and Harnessing Adversarial Examples2015 in the sky ✦
Fusion-in-Decoder: Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering2021 in the sky ✦
Flamingo: a Visual Language Model for Few-Shot Learning2022 in the sky ✦
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning2023 in the sky ✦
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness2022 in the sky ✦
High-Dimensional Continuous Control Using Generalized Advantage Estimation2016 in the sky ✦
A Generalist Agent2022 in the sky ✦
Gaussian Processes for Machine Learning2006 in the sky ✦
3D Gaussian Splatting for Real-Time Radiance Field Rendering2023 in the sky ✦
Semi-Supervised Classification with Graph Convolutional Networks2017 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 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 ✦
How Powerful Are Graph Neural Networks?2019 in the sky ✦
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models2021 in the sky ✦
GloVe: Global Vectors for Word Representation2014 in the sky ✦
Glow: Generative Flow with Invertible 1×1 Convolutions2018 in the sky ✦
Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
First Return, Then Explore2021 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
Scaling Language Models: Methods, Analysis & Insights from Training Gopher2022 in the sky ✦
Language Models Are Unsupervised Multitask Learners2019 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints2023 in the sky ✦
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017 in the sky ✦
Greedy Function Approximation: A Gradient Boosting Machine2001 in the sky ✦
On the Difficulty of Training Recurrent Neural Networks2013 in the sky ✦
Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847 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 ✦
Group Normalization2018 in the sky ✦
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling2014 in the sky ✦
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015 in the sky ✦
The Organization of Behavior: A Neuropsychological Theory1949 in the sky ✦
Hindsight Experience Replay2017 in the sky ✦
Highway Networks2015 in the sky ✦
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989 in the sky ✦
Histograms of Oriented Gradients for Human Detection2005 in the sky ✦
Neural Networks and Physical Systems with Emergent Collective Computational Abilities1982 in the sky ✦
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018 in the sky ✦
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017 in the sky ✦
The Mathematics of Statistical Machine Translation: Parameter Estimation1993 in the sky ✦
Curiosity-Driven Exploration by Self-Supervised Prediction2017 in the sky ✦
Induction of Decision Trees1986 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 ✦
Training Language Models to Follow Instructions with Human Feedback2022 in the sky ✦
Isolation Forest2008 in the sky ✦
Jukebox: A Generative Model for Music2020 in the sky ✦
Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
Distilling the Knowledge in a Neural Network2015 in the sky ✦
Foundations of the Theory of Probability1933 in the sky ✦
When Does Label Smoothing Help?2019 in the sky ✦
Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes2019 in the sky ✦
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour2017 in the sky ✦
Regression Shrinkage and Selection via the Lasso1996 in the sky ✦
High-Resolution Image Synthesis with Latent Diffusion Models2022 in the sky ✦
Layer Normalization2016 in the sky ✦
Learning Dexterous In-Hand Manipulation2019 in the sky ✦
LightGBM: A Highly Efficient Gradient Boosting Decision Tree2017 in the sky ✦
Llama 2: Open Foundation and Fine-Tuned Chat Models2023 in the sky ✦
The Llama 3 Herd of Models2024 in the sky ✦
LLaMA: Open and Efficient Foundation Language Models2023 in the sky ✦
Visual Instruction Tuning2023 in the sky ✦
Visualizing the Loss Landscape of Neural Nets2018 in the sky ✦
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019 in the sky ✦
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019 in the sky ✦
Mamba: Linear-Time Sequence Modeling with Selective State Spaces2023 in the sky ✦
Extension of the Law of Large Numbers to Dependent Quantities1906 in the sky ✦
A Logical Calculus of the Ideas Immanent in Nervous Activity1943 in the sky ✦
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism2019 in the sky ✦
Mistral 7B2023 in the sky ✦
Mixed Precision Training2018 in the sky ✦
Mixtral of Experts2024 in the sky ✦
mixup: Beyond Empirical Risk Minimization2018 in the sky ✦
On the Mathematical Foundations of Theoretical Statistics1922 in the sky ✦
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications2017 in the sky ✦
The Monte Carlo Method1949 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 ✦
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020 in the sky ✦
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020 in the sky ✦
N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019 in the sky ✦
Natural Gradient Works Efficiently in Learning1998 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980 in the sky ✦
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis2020 in the sky ✦
A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
No Free Lunch Theorems for Optimization1997 in the sky ✦
Variational Inference with Normalizing Flows2015 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 ✦
Optimal Brain Damage1989 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 ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
Perceptrons: An Introduction to Computational Geometry1969 in the sky ✦
π₀: A Vision-Language-Action Flow Model for General Robot Control2024 in the sky ✦
PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018 in the sky ✦
Image-to-Image Translation with Conditional Adversarial Networks2017 in the sky ✦
Pixel Recurrent Neural Networks2016 in the sky ✦
Policy Gradient Methods for Reinforcement Learning with Function Approximation1999 in the sky ✦
Proximal Policy Optimization Algorithms2017 in the sky ✦
Prioritized Experience Replay2015 in the sky ✦
Progressive Growing of GANs for Improved Quality, Stability, and Variation2018 in the sky ✦
QLoRA: Efficient Finetuning of Quantized LLMs2023 in the sky ✦
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020 in the sky ✦
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks2020 in the sky ✦
Rainbow: Combining Improvements in Deep Reinforcement Learning2018 in the sky ✦
Random Features for Large-Scale Kernel Machines2007 in the sky ✦
Random Forests2001 in the sky ✦
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014 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 ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
Focal Loss for Dense Object Detection2017 in the sky ✦
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback2023 in the sky ✦
RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012 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 ✦
Unsupervised Representation Learning by Predicting Image Rotations2018 in the sky ✦
RT-1: Robotics Transformer for Real-World Control at Scale2022 in the sky ✦
Efficiently Modeling Long Sequences with Structured State Spaces2022 in the sky ✦
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor2018 in the sky ✦
Some Studies in Machine Learning Using the Game of Checkers1959 in the sky ✦
Scaling Laws for Neural Language Models2020 in the sky ✦
Generative Modeling by Estimating Gradients of the Data Distribution2019 in the sky ✦
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021 in the sky ✦
Self-Consistency Improves Chain of Thought Reasoning in Language Models2022 in the sky ✦
Self-Instruct: Aligning Language Models with Self-Generated Instructions2022 in the sky ✦
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023 in the sky ✦
Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks2019 in the sky ✦
A Stochastic Approximation Method1951 in the sky ✦
SGDR: Stochastic Gradient Descent with Warm Restarts2017 in the sky ✦
Shampoo: Preconditioned Stochastic Tensor Optimization2018 in the sky ✦
Sharpness-Aware Minimization for Efficiently Improving Generalization2021 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 ✦
Distinctive Image Features from Scale-Invariant Keypoints2004 in the sky ✦
A Simple Framework for Contrastive Learning of Visual Representations2020 in the sky ✦
Video Generation Models as World Simulators2024 in the sky ✦
Sparks of Artificial General Intelligence: Early Experiments with GPT-42023 in the sky ✦
Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996 in the sky ✦
Spatial Transformer Networks2015 in the sky ✦
SSD: Single Shot MultiBox Detector2016 in the sky ✦
A Style-Based Generator Architecture for Generative Adversarial Networks2019 in the sky ✦
Analyzing and Improving the Image Quality of StyleGAN2020 in the sky ✦
Support-Vector Networks1995 in the sky ✦
SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments2020 in the sky ✦
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?2024 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 ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
Temporal Difference Learning and TD-Gammon1995 in the sky ✦
TD3: Addressing Function Approximation Error in Actor-Critic Methods2018 in the sky ✦
A Decoder-Only Foundation Model for Time Series Forecasting2024 in the sky ✦
Toolformer: Language Models Can Teach Themselves to Use Tools2023 in the sky ✦
Tree of Thoughts: Deliberate Problem Solving with Large Language Models2023 in the sky ✦
Trust Region Policy Optimization2015 in the sky ✦
Approximation by Superpositions of a Sigmoidal Function1989 in the sky ✦
Auto-Encoding Variational Bayes2013 in the sky ✦
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities1971 in the sky ✦
Very Deep Convolutional Networks for Large-Scale Image Recognition2014 in the sky ✦
Rapid Object Detection Using a Boosted Cascade of Simple Features2001 in the sky ✦
An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale2020 in the sky ✦
End-to-End Training of Deep Visuomotor Policies2016 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 ✦
The Strength of Weak Learnability1990 in the sky ✦
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision2023 in the sky ✦
WebGPT: Browser-Assisted Question-Answering with Human Feedback2021 in the sky ✦
Wide & Deep Learning for Recommender Systems2016 in the sky ✦
Distributed Representations of Words and Phrases and Their Compositionality2013 in the sky ✦
World Models2018 in the sky ✦
Understanding the Difficulty of Training Deep Feedforward Neural Networks2010 in the sky ✦
XGBoost: A Scalable Tree Boosting System2016 in the sky ✦
You Only Look Once: Unified, Real-Time Object Detection2015 in the sky ✦
YOLOv3: An Incremental Improvement2018 in the sky ✦
Deep Neural Networks for YouTube Recommendations2016 in the sky ✦
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models2019 in the sky ✦