SOTAVerified

Classification

Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.

Papers

Showing 66016650 of 12815 papers

TitleStatusHype
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism ClassificationCode0
Regularized Graph Convolutional Networks for Short Text Classification0
Two-level classification for dialogue act recognition in task-oriented dialogues0
New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT?0
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning0
Attentively Embracing Noise for Robust Latent Representation in BERTCode0
Emotion Classification by Jointly Learning to Lexiconize and Classify0
Model-agnostic Methods for Text Classification with Inherent Noise0
Multilingual Epidemiological Text Classification: A Comparative Study0
Data Augmentation for Multiclass Utterance Classification -- A Systematic Study0
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification0
Exploiting a lexical resource for discourse connective disambiguation in German0
Meta-Information Guided Meta-Learning for Few-Shot Relation ClassificationCode0
Effective Few-Shot Classification with Transfer Learning0
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification0
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction0
Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification0
Multi-view Classification Model for Knowledge Graph Completion0
Two-Step Classification using Recasted Data for Low Resource SettingsCode1
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++Code0
Label Representations in Modeling Classification as Text Generation0
Automatic Classification of Students on Twitter Using Simple Profile InformationCode0
BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles0
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet MemesCode0
ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora0
Gorynych Transformer at SemEval-2020 Task 6: Multi-task Learning for Definition Extraction0
NLP\_UIOWA at SemEval-2020 Task 8: You're Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis0
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis0
Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An Ensemble ofOffensive Language Classifiers0
Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating0
Interpretable Phase Detection and Classification with Persistent Homology0
Neural language models for text classification in evidence-based medicine0
Uncertainty-aware Self-training for Few-shot Text Classification0
Graph Stochastic Neural Networks for Semi-supervised LearningCode1
Deep Diffusion-Invariant Wasserstein Distributional Classification0
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability0
Generalized Boosting0
Fairness with Overlapping Groups; a Probabilistic Perspective0
Statistical Guarantees of Distributed Nearest Neighbor Classification0
Towards Convergence Rate Analysis of Random Forests for Classification0
Procode: the Swiss Multilingual Solution for Automatic Coding and Recoding of Occupations and Economic Activities0
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case0
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts0
Dynamic Image for 3D MRI Image Alzheimer's Disease ClassificationCode1
Coarse-to-Fine Memory Matching for Joint Retrieval and ClassificationCode0
FROCC: Fast Random projection-based One-Class Classification0
Deeper or Wider Networks of Point Clouds with Self-attention?Code1
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity DiscoveryCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ConvNextAverage Recall93.47Unverified
2VGG16Average Recall92.86Unverified
3DenseNet201Average Recall90.99Unverified
4Inception ResNet V2Average Recall90.27Unverified
5XceptionAverage Recall89.81Unverified
6NASNetLargeAverage Recall89.52Unverified
7Darknet53Average Recall88.53Unverified
8ResNetV2_50Average Recall88.08Unverified
9MobileNetV3Average Recall84.28Unverified
#ModelMetricClaimedVerifiedStatus
1MoCo-v2 (ResNet-50)Accuracy88.03Unverified
2MoCo-v2 (ResNet-50)Accuracy85.88Unverified
3Barlow Twins (ResNet-50)Accuracy84.03Unverified
4SwAV (ResNet-50)Accuracy83.21Unverified
5Supervised (ViT-S/16)Accuracy81.68Unverified
6Barlow Rwins (ResNet-50)Accuracy81.27Unverified
7DINO (ViT-S/16)Accuracy79.43Unverified
8Supervised (ResNet-50)Accuracy78.92Unverified
9SwAV (ResNet-50)Accuracy77.99Unverified
#ModelMetricClaimedVerifiedStatus
1Event Spike TensorAccuracy (%)48.93Unverified
2DiSTAccuracy (%)48.43Unverified
3Sorted Time SurfaceAccuracy (%)47.9Unverified
4Event HistogramAccuracy (%)47.73Unverified
5HATSAccuracy (%)47.14Unverified
6Binary Event ImageAccuracy (%)46.36Unverified
7Timestamp ImageAccuracy (%)45.86Unverified
8Event ImageAccuracy (%)45.77Unverified
9Time SurfaceAccuracy (%)44.32Unverified
#ModelMetricClaimedVerifiedStatus
1DenseNet121 DistillerAccuracy81.84Unverified
2ResNet101V2 DistillerAccuracy80.29Unverified
3ResNet50V2 DistillerAccuracy79.03Unverified
4MobileNet DistillerAccuracy78.26Unverified
5MobileNetV3Small DistillerAccuracy78.04Unverified
6MobileNetV3Large DistillerAccuracy77.88Unverified
7NASNetMobile DistillerAccuracy77.75Unverified
8MobileNetV2 DistillerAccuracy77.53Unverified
9ResNet50 DistillerAccuracy77.45Unverified
#ModelMetricClaimedVerifiedStatus
1PoseFormerV2F1-score (weighted)0.59Unverified
2PD STGCNF1-score (weighted)0.48Unverified
3MotionBERTF1-score (weighted)0.47Unverified
4Pose Transformers (POTR)F1-score (weighted)0.46Unverified
5MotionBERT-LITEF1-score (weighted)0.43Unverified
6MotionAGFormerF1-score (weighted)0.42Unverified
7MixsteF1-score (weighted)0.41Unverified
#ModelMetricClaimedVerifiedStatus
1Swin Transformer Base (Patch 4 Window 12)F1 score0.89Unverified
2CASSF1 score0.89Unverified
3CASSF1 score0.87Unverified
4DINOF1 score0.86Unverified
5DINOF1 score0.84Unverified
6VANBUREN et allF1 score0.63Unverified
#ModelMetricClaimedVerifiedStatus
1MEMAccuracy (%)98.55Unverified
2GETAccuracy (%)96.7Unverified
3ResNet34 + ESTAccuracy (%)92.5Unverified
4Spiking VGG-11Accuracy (%)92.4Unverified
5Spiking MobileNet-64Accuracy (%)91.7Unverified
6Spiking DenseNet121-24Accuracy (%)90.4Unverified
#ModelMetricClaimedVerifiedStatus
1Event ImgeAccuracy (%)61.42Unverified
2Event HistogramAccuracy (%)61.02Unverified
3Timestamp ImageAccuracy (%)60.46Unverified
4DiSTAccuracy (%)59.74Unverified
5Sorted Time SurfaceAccuracy (%)58.38Unverified
6Binary Event ImageAccuracy (%)53.52Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-L/32-384 with Max-logitDetection AUROC (severity 0)1Unverified
2ViT-L/32-384 with ODINDetection AUROC (severity 0)1Unverified
3ViT-L/32-384 with EntropyDetection AUROC (severity 0)0.99Unverified
4ViT-L/32-384 with MC DropoutDetection AUROC (severity 0)0.99Unverified
5ViT-L/32-384 with SoftmaxDetection AUROC (severity 0)0.99Unverified
#ModelMetricClaimedVerifiedStatus
1MixMamba-Fewshot10 fold Cross validation99.93Unverified
2Few-shot Transformer Covariance10 fold Cross validation99.86Unverified
3MCNN-LSTM10 fold Cross validation98.46Unverified
4CNN10 fold Cross validation7Unverified
#ModelMetricClaimedVerifiedStatus
170_divisionsprecision93.2Unverified
260_divisionsprecision93.2Unverified
380_divisionsprecision93.2Unverified
#ModelMetricClaimedVerifiedStatus
1MINTIME-XCAUC94.25Unverified
2SlowFast R-50AUC90.86Unverified
3MINTIME-EFAUC90.45Unverified
#ModelMetricClaimedVerifiedStatus
1DenseNet121Robustness Score0.91Unverified
2ResNet 50Robustness Score0.9Unverified
3VGG-16Robustness Score0.88Unverified
#ModelMetricClaimedVerifiedStatus
1BIOSCAN_1M_order_classifierMacro F192.65Unverified
2BIOSCAN_1M_family_classifierMacro F191.45Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy62.5Unverified
2OPT-125MTest Accuracy61.6Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy75.71Unverified
2OPT-125MTest Accuracy75Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-41 shot Micro-F196.86Unverified
2BiLSTM-CRF1 shot Micro-F182.2Unverified
#ModelMetricClaimedVerifiedStatus
1SVMF1-score (Weighted)86.19Unverified
2RoBERTaF1-score (Weighted)78.13Unverified
#ModelMetricClaimedVerifiedStatus
1GLNet1:1 Accuracy95.07Unverified
2CPM1:1 Accuracy50Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy60.89Unverified
2OPT-125MTest Accuracy57.05Unverified
#ModelMetricClaimedVerifiedStatus
1ELM NeuronAccuracy (%)82Unverified
2LSTMAccuracy (%)10Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy90.78Unverified
2OPT-125MTest Accuracy85.08Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy56.14Unverified
2OPT-125MTest Accuracy53.38Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy64.16Unverified
2OPT-125MTest Accuracy59.59Unverified
#ModelMetricClaimedVerifiedStatus
1MambaNetAUROC0.91Unverified
#ModelMetricClaimedVerifiedStatus
1RandomForestClassifierAccuracy82Unverified
#ModelMetricClaimedVerifiedStatus
1CNN + Attention + LSTM + CNNAccuracy (%)86.91Unverified
#ModelMetricClaimedVerifiedStatus
1WeaSEL1:1 Accuracy86Unverified
#ModelMetricClaimedVerifiedStatus
1DINOF1 score0.99Unverified
#ModelMetricClaimedVerifiedStatus
1AAPSO-Deep Feature SelectionAccuracy98.41Unverified
#ModelMetricClaimedVerifiedStatus
1CNNValidation Accuracy93.55Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet8×4Accuracy77.5Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-L/16 (Background)Accuracy on Brightness Corrupted Images99.03Unverified
#ModelMetricClaimedVerifiedStatus
1Random ForestAUC0.97Unverified
#ModelMetricClaimedVerifiedStatus
1lstmAccuracy0.72Unverified
#ModelMetricClaimedVerifiedStatus
1MSTPAccuracy95.11Unverified
#ModelMetricClaimedVerifiedStatus
1RECALLOverall accuracy after last sequence57.83Unverified
#ModelMetricClaimedVerifiedStatus
1RECALLOverall accuracy after last sequence4,065Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.98Unverified
#ModelMetricClaimedVerifiedStatus
1TD-CNN- AttentionF1 score99.71Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-RN50x641-of-100 Accuracy61Unverified
#ModelMetricClaimedVerifiedStatus
1SVMF1 (%)97.72Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.95Unverified
#ModelMetricClaimedVerifiedStatus
1HSQformerAUC83.83Unverified
#ModelMetricClaimedVerifiedStatus
1WaferSegClassNetAccuracy0.98Unverified
#ModelMetricClaimedVerifiedStatus
1C-Tran, preprocessing, augmentationML F10.57Unverified
#ModelMetricClaimedVerifiedStatus
1μ RadNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet 50Accuracy (% )92.5Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.97Unverified
#ModelMetricClaimedVerifiedStatus
1pFedBreD_ns_mgAccuracy73.81Unverified
#ModelMetricClaimedVerifiedStatus
1SGD_ssF1 (Seqeval)2,020Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasFrame Level Accuracy0.89Unverified
#ModelMetricClaimedVerifiedStatus
11DCNN-ResNetmacro f1 score (A(100), B(100), C(100) Avg.)0.99Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy25.6Unverified
#ModelMetricClaimedVerifiedStatus
1MSI-H TransformerAUPRC0.58Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy42.2Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy36.2Unverified