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General Classification

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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/longxiang92/Flash-MNIST

공식 코드

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

https://github.com/lorenzodallamico/NishimoriBetheHessian

공식 코드

Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs

https://github.com/louzounlab/graph-al

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Regional based query in graph active learning

https://github.com/lpfann/squamish

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Sequential Feature Classification in the Context of Redundancies

https://github.com/lpfann/squamish_experiments

공식 코드

Sequential Feature Classification in the Context of Redundancies

https://github.com/lpfgarcia/ECoL

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How Complex is your classification problem? A survey on measuring classification complexity

https://github.com/lsgos/uncertainty-adversarial-paper

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Understanding Measures of Uncertainty for Adversarial Example Detection

https://github.com/ltgoslo/assessing_and_probing_sentiment

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Sentiment analysis is not solved! Assessing and probing sentiment classification

https://github.com/ltgoslo/fun-nom

공식 코드

Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation

https://github.com/ltorgo/performanceEstimation

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An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R

https://github.com/luca-parisi/hyper-sinh_TensorFlow_Keras

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hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras

https://github.com/luca-parisi/m-arcsinh_scikit-learn_TensorFlow_Keras

공식 코드

m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn

https://github.com/lucaoneto/NIPS2019_Fairness

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Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

https://github.com/lucasponteslpa/QOCClassifier

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Quantum One-class Classification With a Distance-based Classifier

https://github.com/luiscarlosgph/ipcl

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Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology

https://github.com/luisfredgs/cnn-hierarchical-network-for-document-classification

공식 코드

Hierarchical Attentional Hybrid Neural Networks for Document Classification

https://github.com/lukasliebel/MultiDepth

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MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification

https://github.com/lukecq1231/generalized-pooling

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Enhancing Sentence Embedding with Generalized Pooling

https://github.com/luuf/understanding-STNs

공식 코드

Understanding when spatial transformer networks do not support invariance, and what to do about it

https://github.com/luxiangju-PersonAI/iCartoonFace

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Cartoon Face Recognition: A Benchmark Dataset

https://github.com/luyongxi/deep_share

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Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

https://github.com/lvapeab/nmt-keras

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NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

https://github.com/lvapeab/sentence-selectioNN

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Neural Networks Classifier for Data Selection in Statistical Machine Translation

https://github.com/lxuniverse/NICE

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Neural Image Compression and Explanation

https://github.com/lzzcd001/OSLSM

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One-Shot Learning for Semantic Segmentation

https://github.com/m-hahn/sensitivity

공식 코드

Sensitivity as a Complexity Measure for Sequence Classification Tasks

https://github.com/m-hildebrandt/R2D2

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Reasoning on Knowledge Graphs with Debate Dynamics

https://github.com/mabdelhack/hyperspectral_image_generator

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An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow

https://github.com/mace19/MACE

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MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks

https://github.com/machine-listeners-valencia/fsl_osr_dataset_baseline

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An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments

https://github.com/machine-reasoning-ufrgs/spixel-gat

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Superpixel Image Classification with Graph Attention Networks

https://github.com/madbix/bnlearn-clone-3.4

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A hybrid algorithm for Bayesian network structure learning with application to multi-label learning

https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification

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A Graph-CNN for 3D Point Cloud Classification

https://github.com/mahdiabavisani/DSRC

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Deep Sparse Representation-based Classification

https://github.com/mahmad00/A-Fast-3D-CNN-for-HSIC

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A Fast 3D CNN for Hyperspectral Image Classification

https://github.com/mahmad00/Artifacts-of-DR-on-Hybrid-CNN-for-HSIC/blob/main/Artifacts_of_DR_on_Hybrid_CNN_for_HSIC.ipynb

공식 코드

Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN

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