Papers with Code 아카이브

Binary Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

14

보존된 평가 기록

14

코드

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

https://github.com/h-tayyarmadabushi/semeval_2022_task2-idiomaticity

공식 코드

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding

https://github.com/hanxudong/systematic_evaluation_of_predictive_fairness

공식 코드

Systematic Evaluation of Predictive Fairness

https://github.com/haotian-liu/maskpoint

공식 코드

Masked Discrimination for Self-Supervised Learning on Point Clouds

https://github.com/harvineet/sample-size-fairness-audits

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A Brief Tutorial on Sample Size Calculations for Fairness Audits

https://github.com/hasancanbiyik/turkish_pets

공식 코드

Turkish Delights: a Dataset on Turkish Euphemisms

https://github.com/hasibzunair/uniformizing-3D

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Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction

https://github.com/heyongxin233/detective

공식 코드

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

https://github.com/hhc1997/mscn

공식 코드

Noisy Correspondence Learning with Meta Similarity Correction

https://github.com/hiddefok/consequences-of-recourse

공식 코드

The Risks of Recourse in Binary Classification

https://github.com/historicalink/ironydetection

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Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish

https://github.com/hkmztrk/DeepDTA

공식 코드

DeepDTA: Deep Drug-Target Binding Affinity Prediction

https://github.com/hkust-nlp/llmeval_sum_factual

공식 코드

Evaluating Factual Consistency of Summaries with Large Language Models

https://github.com/hnematzadeh/dmc-gawar

공식 코드

Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets

https://github.com/hodfernando/2024_asoc_gnn_covid19_forecast

공식 코드

Leveraging graph neural networks and mobility data for COVID-19 forecasting

https://github.com/hoffmangroup/mccf1

공식 코드

The MCC-F1 curve: a performance evaluation technique for binary classification

https://github.com/holistic-ai/THaMES

공식 코드

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models

https://github.com/hradghoukasian/dp_fair_binary

공식 코드

Differentially Private Fair Binary Classifications

https://github.com/hsuvas/hoaxpedia_dataset

공식 코드

Hoaxpedia: A Unified Wikipedia Hoax Articles Dataset

https://github.com/hunterhuan/sphereface2_speaker_verification

공식 코드

Exploring Binary Classification Loss For Speaker Verification

https://github.com/hwazni/qcoref

공식 코드

Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach

https://github.com/hyungrok-do/fair-glm-cvx

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Fair Generalized Linear Models with a Convex Penalty

https://github.com/hzhang0/auc_bias

공식 코드

A Closer Look at AUROC and AUPRC under Class Imbalance

https://github.com/i3-fbk/LLM-PE_Terms_and_Conditions_Contracts

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Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts

https://github.com/iaar-shanghai/mara

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Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models

https://github.com/idu-cvlab/cov19d_4th

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COVID-19 detection using ViT transformer-based approach from Computed Tomography Images

https://github.com/ievron/wltls

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The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study

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

공식 코드

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

https://github.com/inspire-group/patchdemux

공식 코드

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches

https://github.com/intelligence-csd-auth-gr/LionLearn/tree/master/LionForests

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Conclusive Local Interpretation Rules for Random Forests

https://github.com/irhete/stability-predictive-monitoring

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Temporal Stability in Predictive Process Monitoring

https://github.com/is5882/uu-tax

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UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation

https://github.com/isl-mt/SemanticWordReplacement-LREC2018

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Automated Evaluation of Out-of-Context Errors

https://github.com/isotlaboratory/ClassifierCalibration-Code

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Classifier Calibration: with application to threat scores in cybersecurity

https://github.com/ispamm/phbreast

공식 코드

Multi-View Hypercomplex Learning for Breast Cancer Screening

https://github.com/israa-alghanmi/DisKnE

공식 코드

Probing Pre-Trained Language Models for Disease Knowledge

https://github.com/jakob-bach/alternative-feature-selection

공식 코드

Finding Optimal Diverse Feature Sets with Alternative Feature Selection

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