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Binary Classification

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Showing 1626–1650 of 2574 papers

TitleStatusHype
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets—0
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages—0
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution—0
Image Aesthetic Assessment: An Experimental Survey—0
Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization—0
Image-based material analysis of ancient historical documents—0
Image Retrieval for Structure-from-Motion via Graph Convolutional Network—0
Image Retrieval Methods in the Dissimilarity Space—0
Imbalanced classification: a paradigm-based review—0
Imbalanced Classification via a Tabular Translation GAN—0
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks—0
Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring—0
Implementation of Supervised Training Approaches for Monolingual Word Sense Alignment: ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020—0
Implicit Bias and Fast Convergence Rates for Self-attention—0
Implicit bias of deep linear networks in the large learning rate phase—0
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data—0
Implicit Hypersurface Approximation Capacity in Deep ReLU Networks—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Improve Cost Efficiency of Active Learning over Noisy Dataset—0
Improved Algorithms for Agnostic Pool-based Active Classification—0
Improved Generalization Bounds for Adversarially Robust Learning—0
Improved Text Classification via Test-Time Augmentation—0
Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty—0
Improving AMD diagnosis by the simultaneous identification of associated retinal lesions—0
Improving group robustness under noisy labels using predictive uncertainty—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified