Loss function

دالة الخسارة

دالة رياضية تقيس الفرق بين القيم التي يتوقعها نموذج الذكاء الاصطناعي والقيم الفعلية. تُستخدم كبوصلة لتوجيه عملية تدريب النماذج.

Also translated asدالة الكلفة

First appears in this corpus in: Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares) (1805)

Appears in these papers

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997 in the sky ✦
Decoupled Weight Decay Regularization2019 in the sky ✦
Learning Representations by Back-Propagating Errors1986 in the sky ✦
Barlow Twins: Self-Supervised Learning via Redundancy Reduction2021 in the sky ✦
Neural Networks and the Bias/Variance Dilemma1992 in the sky ✦
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Denoising Diffusion Probabilistic Models2020 in the sky ✦
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Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023 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 ✦
Dense Passage Retrieval for Open-Domain Question Answering2020 in the sky ✦
ELECTRA: Pre-Training Text Encoders as Discriminators Rather Than Generators2020 in the sky ✦
3D Gaussian Splatting for Real-Time Radiance Field Rendering2023 in the sky ✦
Greedy Function Approximation: A Gradient Boosting Machine2001 in the sky ✦
Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847 in the sky ✦
Jukebox: A Generative Model for Music2020 in the sky ✦
A New Approach to Linear Filtering and Prediction Problems1960 in the sky ✦
Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015 in the sky ✦
Foundations of the Theory of Probability1933 in the sky ✦
Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares)1805 in the sky ✦
LIMA: Less Is More for Alignment2023 in the sky ✦
"Why Should I Trust You?": Explaining the Predictions of Any Classifier2016 in the sky ✦
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Visualizing the Loss Landscape of Neural Nets2018 in the sky ✦
Matrix Factorization Techniques for Recommender Systems2009 in the sky ✦
mixup: Beyond Empirical Risk Minimization2018 in the sky ✦
Momentum Contrast for Unsupervised Visual Representation Learning2020 in the sky ✦
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022 in the sky ✦
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022 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 ✦
N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019 in the sky ✦
Neural Collaborative Filtering2017 in the sky ✦
Neural Ordinary Differential Equations2018 in the sky ✦
Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018 in the sky ✦
Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018 in the sky ✦
Image-to-Image Translation with Conditional Adversarial Networks2017 in the sky ✦
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020 in the sky ✦
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020 in the sky ✦
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning1992 in the sky ✦
Focal Loss for Dense Object Detection2017 in the sky ✦
Generative Modeling by Estimating Gradients of the Data Distribution2019 in the sky ✦
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023 in the sky ✦
A Unified Approach to Interpreting Model Predictions2017 in the sky ✦
A Unified Approach to Interpreting Model Predictions2017 in the sky ✦
Sharpness-Aware Minimization for Efficiently Improving Generalization2021 in the sky ✦
Show and Tell: A Neural Image Caption Generator2015 in the sky ✦
Exploring Simple Siamese Representation Learning2021 in the sky ✦
Spatial Transformer Networks2015 in the sky ✦
Image Style Transfer Using Convolutional Neural Networks2016 in the sky ✦
SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments2020 in the sky ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
End-to-End Training of Deep Visuomotor Policies2016 in the sky ✦
Wide & Deep Learning for Recommender Systems2016 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 ✦