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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/paarthneekhara/multimodal_rerprogramming

공식 코드

Cross-modal Adversarial Reprogramming

https://github.com/paarthneekhara/rnn_adversarial_reprogramming

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Adversarial Reprogramming of Text Classification Neural Networks

https://github.com/palash1992/DynamicGEM

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DynamicGEM: A Library for Dynamic Graph Embedding Methods

https://github.com/papart/res-recsyst

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Meta-Learning for Resampling Recommendation Systems

https://github.com/papermsucode/mutual-modality-learning

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Mutual Modality Learning for Video Action Classification

https://github.com/paramansh/propaganda_detection

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newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification

https://github.com/parham-ap/cytology_dataset

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A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection

https://github.com/parisots/population-gcn

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Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

https://github.com/pascal20100/factored_output_layer

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The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family

https://github.com/pashew94/StrongTree

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Strong Optimal Classification Trees

https://github.com/passalis/cbof

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Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks

https://github.com/patientzero/timage-icann2019

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Timage -- A Robust Time Series Classification Pipeline

https://github.com/patrickzib/SFA

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Multivariate Time Series Classification with WEASEL+MUSE

https://github.com/pauchingyap/boml

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Addressing Catastrophic Forgetting in Few-Shot Problems

https://github.com/paul-rottger/temporal-adaptation

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Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media

https://github.com/paulohubert/babool

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Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates

https://github.com/pbashivan/EEGLearn

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Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification

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Signal2Image Modules in Deep Neural Networks for EEG Classification

https://github.com/pedro-morgado/score-zeroshot

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Semantically Consistent Regularization for Zero-Shot Recognition

https://github.com/pedrodiamel/ferattention

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FERAtt: Facial Expression Recognition with Attention Net

https://github.com/pedrolarben/ADLStream

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On the performance of deep learning models for time series classification in streaming

https://github.com/peiranli/ARYA

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User-Guided Aspect Classification for Domain-Specific Texts

https://github.com/peterbhase/interpretable-image

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Interpretable Image Recognition with Hierarchical Prototypes

https://github.com/peterbillhu/TDA_for_SleepWake_Classifications

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A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification

https://github.com/pfnet-research/contextual_augmentation

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Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

https://github.com/phbraga/SS-SOM

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A Semi-Supervised Self-Organizing Map for Clustering and Classification

https://github.com/phbraga/alt-sssom

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A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds

https://github.com/phelber/EuroSAT

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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

https://github.com/phiandark/DynHingeLoss

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An analytic theory of shallow networks dynamics for hinge loss classification

https://github.com/phosseini/LexiPers

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LexiPers: An ontology based sentiment lexicon for Persian

https://github.com/pi224/banditboosting

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Online Multiclass Boosting with Bandit Feedback

https://github.com/picekl/DanishFungiDataset

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Danish Fungi 2020 -- Not Just Another Image Recognition Dataset

https://github.com/piergiaj/mlb-youtube

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Fine-grained Activity Recognition in Baseball Videos

https://github.com/pietrobarbiero/meco

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Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms

https://github.com/pilehvar/sensecnn

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Towards a Seamless Integration of Word Senses into Downstream NLP Applications

https://github.com/pkiourti/rl_backdoor

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TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents

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