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General Classification

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보존된 평가 기록

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코드

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

https://github.com/ilhamfp/indonesian-text-classification-multilingual

공식 코드

Improving Indonesian Text Classification Using Multilingual Language Model

https://github.com/iliaschalkidis/lmtc-eurlex57k

공식 코드

Large-Scale Multi-Label Text Classification on EU Legislation

https://github.com/ilyakava/pyfst

공식 코드

Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images

https://github.com/ilyakava/tfST

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Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images

https://github.com/imatge-upc/salgan

공식 코드

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

https://github.com/implus/GFocal

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Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

https://github.com/indy-lab/ProtoTransfer

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Self-Supervised Prototypical Transfer Learning for Few-Shot Classification

https://github.com/insperatum/vhe

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The Variational Homoencoder: Learning to learn high capacity generative models from few examples

https://github.com/inspire-group/robustness-via-transport

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Lower Bounds on Adversarial Robustness from Optimal Transport

https://github.com/interpreting-video-features/interpreting-video-features/tree/master/video_features_tf

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Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks

https://github.com/intra3d2019/IntrA

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IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

https://github.com/iobt-vistec/min2net

공식 코드

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

https://github.com/iremeyiokur/multipie_extended_ear_dataset

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Multimodal Age and Gender Classification Using Ear and Profile Face Images

https://github.com/irfanICMLL/structure_knowledge_distillation

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Structured Knowledge Distillation for Dense Prediction

https://github.com/irinagain/DAP

공식 코드

Sparse quadratic classification rules via linear dimension reduction

https://github.com/irwinherrmann/stochastic-gates

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Channel selection using Gumbel Softmax

https://github.com/isakkarlsson/tsexplain

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Explainable time series tweaking via irreversible and reversible temporal transformations

https://github.com/isarth/SemEval9_MIDAS

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Suggestion Mining from Online Reviews using ULMFiT

https://github.com/ispras-texterra/word-embeddings-eval-hy

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Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation

https://github.com/itsmeafra/Sublevel-Set-TDA

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Topological Descriptors for Parkinson's Disease Classification and Regression Analysis

https://github.com/ituamg/super-klust

공식 코드

Super-klust: Another Way of Piecewise Linear Classification

https://github.com/ivan-chai/exact

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EXACT: How to Train Your Accuracy

https://github.com/j-zarka/SparseScatNet

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Deep Network Classification by Scattering and Homotopy Dictionary Learning

https://github.com/j-zarka/separation_concentration_deepnets

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Separation and Concentration in Deep Networks

https://github.com/j201/keras-ste-layers

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Regularizing Neural Networks by Stochastically Training Layer Ensembles

https://github.com/j6mes/eacl2021-debias-finetuning

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Elastic weight consolidation for better bias inoculation

https://github.com/jabalazs/implicit_emotion

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IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations

https://github.com/jabalazs/repeval_rivercorners

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Refining Raw Sentence Representations for Textual Entailment Recognition via Attention

https://github.com/jacobeisenstein/probabilistic-lexicon-classification

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Unsupervised Learning for Lexicon-Based Classification

https://github.com/jacobmontiel/AdaptiveXGBoostClassifier

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Adaptive XGBoost for Evolving Data Streams

https://github.com/jaeill/CVPR23-VNE

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VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

https://github.com/jahuerta92/cnn-prob-ensemble

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Fusing CNNs and statistical indicators to improve image classification

https://github.com/jakesnell/ove-polya-gamma-gp

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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes

https://github.com/jakesnell/prototypical-networks

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Prototypical Networks for Few-shot Learning

https://github.com/jamiehadd/ssnmf

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Semi-supervised NMF Models for Topic Modeling in Learning Tasks

https://github.com/jantrienes/ecir2019-qac

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Identifying Unclear Questions in Community Question Answering Websites

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