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General Classification

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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/alipsgh/data_streams

공식 코드

McDiarmid Drift Detection Methods for Evolving Data Streams

https://github.com/alireza-nasiri/SoundCLR

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SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification

https://github.com/alldbi/SuperMix

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SuperMix: Supervising the Mixing Data Augmentation

https://github.com/allenai/elastic

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ELASTIC: Improving CNNs with Dynamic Scaling Policies

https://github.com/allenai/scibert

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SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/allenai/scicite

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Structural Scaffolds for Citation Intent Classification in Scientific Publications

https://github.com/allenai/scidocs

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SPECTER: Document-level Representation Learning using Citation-informed Transformers

https://github.com/allenai/sdi-detection

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SUPP.AI: Finding Evidence for Supplement-Drug Interactions

https://github.com/allenai/sequential_sentence_classification

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Pretrained Language Models for Sequential Sentence Classification

https://github.com/allenai/specter

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SPECTER: Document-level Representation Learning using Citation-informed Transformers

https://github.com/allenai/vampire

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Variational Pretraining for Semi-supervised Text Classification

https://github.com/allenschmaltz/memory_matching

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Coarse-to-Fine Memory Matching for Joint Retrieval and Classification

https://github.com/alvinchangw/CARA_EMNLP2020

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Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder

https://github.com/alyelgamal/AMBER

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Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination

https://github.com/amacaluso/Quantum-Ensemble-for-Classification

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Quantum Ensemble for Classification

https://github.com/amaiya/ktrain

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ktrain: A Low-Code Library for Augmented Machine Learning

https://github.com/amarallab/synthetic_benchmark_topic_model

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A new evaluation framework for topic modeling algorithms based on synthetic corpora

https://github.com/amartinez2020/COVID_CT

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Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning

https://github.com/amazon-research/stil-mbart-multiatis

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STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++

https://github.com/amazon-science/few-shot-baseline

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A Baseline for Few-Shot Image Classification

https://github.com/ameliajimenez/capsule-networks-medical-data-challenges

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Capsule Networks against Medical Imaging Data Challenges

https://github.com/ameliajimenez/curriculum-learning-prior-uncertainty

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Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty

https://github.com/amina01/ESMIL

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An embarrassingly simple approach to neural multiple instance classification

https://github.com/aminfadaee/culp

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Classification Using Link Prediction

https://github.com/amir-zeldes/RFTokenizer

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A Characterwise Windowed Approach to Hebrew Morphological Segmentation

https://github.com/amoliu/CayleyNet

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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

https://github.com/anasbair/SemEval2020-groups

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DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification

https://github.com/andi611/Self-Supervised-Speech-Pretraining-and-Representation-Learning

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Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

https://github.com/andrade-stats/AdaCOS_public

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Adaptive Covariate Acquisition for Minimizing Total Cost of Classification

https://github.com/andrade-stats/convexCovariateClusteringClassification

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Convex Covariate Clustering for Classification

https://github.com/andreapatane/check-GPclass

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Adversarial Robustness Guarantees for Classification with Gaussian Processes

https://github.com/andrebola/patterns-genres

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On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns

https://github.com/andrewli77/DISC

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Interpretable Sequence Classification via Discrete Optimization

https://github.com/andyweizhao/capsule_text_classification

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Investigating Capsule Networks with Dynamic Routing for Text Classification

https://github.com/angrypudding/hybrid-ds

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A Unified Mammogram Analysis Method via Hybrid Deep Supervision

https://github.com/angus924/minirocket

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MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

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