SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 101–150 of 14581 papers

TitleStatusHype
Active Learning for BERT: An Empirical StudyCode1
Attention Transfer Network for Aspect-level Sentiment ClassificationCode1
A Weakly Supervised Convolutional Network for Change Segmentation and ClassificationCode1
Backdoor Attacks to Graph Neural NetworksCode1
A Survey of Deep Learning Techniques for Weed Detection from ImagesCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
ADADELTA: An Adaptive Learning Rate MethodCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed TextCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
Asymmetric Loss For Multi-Label ClassificationCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes SettingCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationCode1
ViViT: A Video Vision TransformerCode1
Adaptive Threshold for Online Object Recognition and Re-identification TasksCode1
Adaptive XGBoost for Evolving Data StreamsCode1
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge DevicesCode1
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning ClassifiersCode1
Denoised Smoothing: A Provable Defense for Pretrained ClassifiersCode1
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node ClassificationCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
A Structured Self-attentive Sentence EmbeddingCode1
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series ClassificationCode1
A Survey on Text Classification: From Shallow to Deep LearningCode1
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text ClassificationCode1
A Self-supervised Approach for Adversarial RobustnessCode1
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained ClassificationCode1
A Self-Attention Network based Node Embedding ModelCode1
Association Graph Learning for Multi-Task Classification with Category ShiftsCode1
Zero-Shot Semantic SegmentationCode1
A Practioner's Guide to Evaluating Entity Resolution ResultsCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
AP-Loss for Accurate One-Stage Object DetectionCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Anonymous Walk EmbeddingsCode1
Achieving robustness in classification using optimal transport with hinge regularizationCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
A new Backdoor Attack in CNNs by training set corruption without label poisoningCode1
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced ScenariosCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified