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General Classification

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전체 기법전체 데이터셋

하위 태스크

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평가표

11

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/angus924/rocket

공식 코드

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

https://github.com/aniketde/DomainGeneralizationMarginal

공식 코드

Domain Generalization by Marginal Transfer Learning

https://github.com/anilkagak2/SelectiveClassification_One_Sided_Prediction

공식 코드

Selective Classification via One-Sided Prediction

https://github.com/annitrolla/Generative-Models-in-Classification

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Combining Static and Dynamic Features for Multivariate Sequence Classification

https://github.com/anonymous-p/Flickering_Adversarial_Video

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Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks

https://github.com/antiingel/ITR-optimisation

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Direct information transfer rate optimisation for SSVEP-based BCI

https://github.com/antoine77340/LOUPE

공식 코드

Learnable pooling with Context Gating for video classification

https://github.com/antoine77340/Youtube-8M-WILLOW

공식 코드

Learnable pooling with Context Gating for video classification

https://github.com/antonpuz/DeROL

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Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems

https://github.com/anugunjnaman/fixed-maml

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Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition

https://github.com/anuraganands/Non-image-data-classification-with-CNN

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Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis

https://github.com/apayani/ILP

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Inductive Logic Programming via Differentiable Deep Neural Logic Networks

https://github.com/apmoore1/language-model

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Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification

https://github.com/apple/ml-afv

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Adversarial Fisher Vectors for Unsupervised Representation Learning

https://github.com/apple/ml-ncg

공식 코드

Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training

https://github.com/aquemy/HCBR

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Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning

https://github.com/aramis-lab/AD-DL

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Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

https://github.com/aramis-lab/AD-ML

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Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease

https://github.com/arangesh/Forced-Spatial-Attention

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Forced Spatial Attention for Driver Foot Activity Classification

https://github.com/arasmus/ladder

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Semi-Supervised Learning with Ladder Networks

https://github.com/araujoalexandre/youtube8m-circulant

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Training compact deep learning models for video classification using circulant matrices

https://github.com/aravindsankar28/DySAT

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Dynamic Graph Representation Learning via Self-Attention Networks

https://github.com/aravindsankar28/Meta-GNN

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Motif-based Convolutional Neural Network on Graphs

https://github.com/arayabrain/ClassifierGenerators

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Learning to generate classifiers

https://github.com/areeberg/FBTSVM

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Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine

https://github.com/arjish/PreTrainedFullLibrary_FewShot

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Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier

https://github.com/arjish/meta-meta-classification

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Meta-Meta Classification for One-Shot Learning

https://github.com/arjung128/mi_detection

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Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms

https://github.com/arogozhnikov/infiniteboost

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InfiniteBoost: building infinite ensembles with gradient descent

https://github.com/artelab/Multi-modal-classification

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Image and Encoded Text Fusion for Multi-Modal Classification

https://github.com/arthurhero/PC-IGOS

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Visualizing Point Cloud Classifiers by Curvature Smoothing

https://github.com/artitw/text2class

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Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models

https://github.com/arturjordao/IncrementalDimensionalityReduction

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Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

https://github.com/arturluis/diffranet

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DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning

https://github.com/asappresearch/dynamic-classification

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Metric Learning for Dynamic Text Classification

https://github.com/asappresearch/interactive-classification

공식 코드

Interactive Classification by Asking Informative Questions

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