Cross Entropy

العشوائية المتقاطعة

دالة قياس الفجوة والتشتت المتبادل بين التوزيع الاحتمالي الحقيقي وتوقعات النموذج.

Cross Entropy

Also translated asالاعتلاج المتبادل، مقياس الفارق التوزيحي

First appears in this corpus in: On the Mathematical Foundations of Theoretical Statistics (1922)

Appears in these papers

Intriguing Properties of Neural Networks2014 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022 in the sky ✦
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Representation Learning with Contrastive Predictive Coding2018 in the sky ✦
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks2017 in the sky ✦
DALL·E: Zero-Shot Text-to-Image Generation2021 in the sky ✦
DALL·E: Zero-Shot Text-to-Image Generation2021 in the sky ✦
Decision Transformer: Reinforcement Learning via Sequence Modeling2021 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 ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
DINOv2: Learning Robust Visual Features Without Supervision2023 in the sky ✦
DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter2019 in the sky ✦
ELECTRA: Pre-Training Text Encoders as Discriminators Rather Than Generators2020 in the sky ✦
Emergent Abilities of Large Language Models2022 in the sky ✦
Are Emergent Abilities of Large Language Models a Mirage?2023 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Fast R-CNN2015 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Training Language Models to Follow Instructions with Human Feedback2022 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
Distilling the Knowledge in a Neural Network2015 in the sky ✦
When Does Label Smoothing Help?2019 in the sky ✦
The Regression Analysis of Binary Sequences1958 in the sky ✦
mixup: Beyond Empirical Risk Minimization2018 in the sky ✦
On the Mathematical Foundations of Theoretical Statistics1922 in the sky ✦
Momentum Contrast for Unsupervised Visual Representation Learning2020 in the sky ✦
Neural Collaborative Filtering2017 in the sky ✦
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024 in the sky ✦
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024 in the sky ✦
Pixel Recurrent Neural Networks2016 in the sky ✦
Focal Loss for Dense Object Detection2017 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 ✦
RT-1: Robotics Transformer for Real-World Control at Scale2022 in the sky ✦
Sequence to Sequence Learning with Neural Networks2014 in the sky ✦
A Mathematical Theory of Communication1948 in the sky ✦
Show and Tell: A Neural Image Caption Generator2015 in the sky ✦
A Simple Framework for Contrastive Learning of Visual Representations2020 in the sky ✦
Exploring Simple Siamese Representation Learning2021 in the sky ✦
SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments2020 in the sky ✦
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer2019 in the sky ✦
Toolformer: Language Models Can Teach Themselves to Use Tools2023 in the sky ✦
Toolformer: Language Models Can Teach Themselves to Use Tools2023 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 ✦
WebGPT: Browser-Assisted Question-Answering with Human Feedback2021 in the sky ✦