Classification

التصنيف

مهمة تحديد الفئة أو التبويب المناسب لمدخل معين (مثل تحديد نوع الصورة).

Classification

Also translated asالفرز الفئوي، التبويب

First appears in this corpus in: On Information and Sufficiency (1951)

Appears in these papers

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997 in the sky ✦
Parameter-Efficient Transfer Learning for NLP2019 in the sky ✦
Intriguing Properties of Neural Networks2014 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 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 ✦
BEiT: BERT Pre-Training of Image Transformers2021 in the sky ✦
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding2018 in the sky ✦
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017 in the sky ✦
C4.5: Programs for Machine Learning1993 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 ✦
Chronos: Learning the Language of Time Series2024 in the sky ✦
Learning Transferable Visual Models from Natural Language Supervision2021 in the sky ✦
Microsoft COCO: Common Objects in Context2014 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Representation Learning with Contrastive Predictive Coding2018 in the sky ✦
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2017 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 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 ✦
End-to-End Object Detection with Transformers2020 in the sky ✦
Emerging Properties in Self-Supervised Vision Transformers2021 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Fast R-CNN2015 in the sky ✦
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks2015 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 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 ✦
Gaussian Processes for Machine Learning2006 in the sky ✦
Gaussian Processes for Machine Learning2006 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding2018 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
Greedy Function Approximation: A Gradient Boosting Machine2001 in the sky ✦
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023 in the sky ✦
Histograms of Oriented Gradients for Human Detection2005 in the sky ✦
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018 in the sky ✦
Induction of Decision Trees1986 in the sky ✦
Induction of Decision Trees1986 in the sky ✦
ImageNet: A Large-Scale Hierarchical Image Database2009 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
"Why Should I Trust You?": Explaining the Predictions of Any Classifier2016 in the sky ✦
The Regression Analysis of Binary Sequences1958 in the sky ✦
Mamba: Linear-Time Sequence Modeling with Selective State Spaces2023 in the sky ✦
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications2017 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024 in the sky ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation2017 in the sky ✦
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation2017 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 ✦
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning1992 in the sky ✦
Focal Loss for Dense Object Detection2017 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 ✦
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021 in the sky ✦
Self-Instruct: Aligning Language Models with Self-Generated Instructions2022 in the sky ✦
Self-Instruct: Aligning Language Models with Self-Generated Instructions2022 in the sky ✦
Squeeze-and-Excitation Networks2018 in the sky ✦
Show and Tell: A Neural Image Caption Generator2015 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Spatial Transformer Networks2015 in the sky ✦
Spectral Networks and Deep Locally Connected Networks on Graphs2014 in the sky ✦
Support-Vector Networks1995 in the sky ✦
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021 in the sky ✦
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer2019 in the sky ✦
Universal Language Model Fine-Tuning for Text Classification2018 in the sky ✦
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction2018 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 ✦
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 ✦