Papers with Code 아카이브

General Classification

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평가표

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보존된 평가 기록

19

코드

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

https://github.com/LeiWangR/LSFNet

공식 코드

Loss Switching Fusion with Similarity Search for Video Classification

https://github.com/Leo-Simpson/c-lasso

공식 코드

c-lasso -- a Python package for constrained sparse and robust regression and classification

https://github.com/LeoYu/neural-tangent-kernel-UCI

공식 코드

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks

https://github.com/LeyuChen/L0-ERM

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High Dimensional Classification through $\ell_0$-Penalized Empirical Risk Minimization

https://github.com/LiQiufu/WaveCNet

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Wavelet Integrated CNNs for Noise-Robust Image Classification

https://github.com/LingxiaoShawn/GLOD-Issues

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On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights

https://github.com/LingxiaoShawn/PG-Learn

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A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification

https://github.com/LinusWu/TENET_Training

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Group-wise Inhibition based Feature Regularization for Robust Classification

https://github.com/LiuHaiTao01/GPCnoise

공식 코드

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods

https://github.com/Louis-udm/VGCN-BERT

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VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

https://github.com/LuisPB7/fnc-msc

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Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

https://github.com/Lyleregenwetter/BIKED

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BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks

https://github.com/M-Nauta/Explaining_Prototypes

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This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition

https://github.com/MFajcik/RumourEval2019

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BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers

https://github.com/MIC-DKFZ/DetectionAndRegression

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Reg R-CNN: Lesion Detection and Grading under Noisy Labels

https://github.com/MIC-DKFZ/RegRCNN

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Reg R-CNN: Lesion Detection and Grading under Noisy Labels

https://github.com/MIDA-group/OralScreen

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A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

https://github.com/MIR-MU/regularized-embeddings

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Text classification with word embedding regularization and soft similarity measure

https://github.com/MRegina/connectome_conv_net

공식 코드

Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture

https://github.com/MStamatis/ALReLU

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ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance

https://github.com/MachineLearningBCAM/Minimax-risk-classifiers-NeurIPS-2020

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Minimax Classification with 0-1 Loss and Performance Guarantees

https://github.com/MachineLearningUniandes/MANTRA

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MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition

https://github.com/MadryLab/ImageNetMultiLabel

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From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

https://github.com/MahyarNajibi/SNIPER

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R-FCN-3000 at 30fps: Decoupling Detection and Classification

https://github.com/Mak-Sim/Minsk2020_ALS_database

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Classification of ALS patients based on acoustic analysis of sustained vowel phonations

https://github.com/Makwen1995/MusicGenre

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Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

https://github.com/ManSoSec/Microsoft-Malware-Challenge

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Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

https://github.com/Mark12Ding/GNN-Practical-Attack

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Towards More Practical Adversarial Attacks on Graph Neural Networks

https://github.com/MarvinTeichmann/MultiNet

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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

https://github.com/MarziEd/SubSpace-Capsule-Network

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Subspace Capsule Network

https://github.com/MatthewSZhang/fs_ols

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Orthogonal Least Squares Based Fast Feature Selection for Linear Classification

https://github.com/MatthewWilletts/GM-DGM

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Semi-unsupervised Learning of Human Activity using Deep Generative Models

https://github.com/Mayachitra-Inc/MaleX

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Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning

https://github.com/MedMNIST/MedMNIST

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MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

https://github.com/Media-Smart/vedastr

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Revisiting Classification Perspective on Scene Text Recognition

https://github.com/Megatvini/DeepFaceForgeryDetection

공식 코드

Deep Face Forgery Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.