SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5001–5025 of 14581 papers

TitleStatusHype
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification—0
EPP: interpretable score of model predictive powerCode0
Deriving a Quantitative Relationship Between Resolution and Human Classification Error—0
Consistent Classification with Generalized Metrics—0
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning—0
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity—0
Lukthung Classification Using Neural Networks on Lyrics and Audios—0
Pareto-optimal data compression for binary classification tasksCode0
Preventing the Generation of Inconsistent Sets of Classification Rules—0
Parity Partition Coding for Sharp Multi-Label Classification—0
Saliency Methods for Explaining Adversarial Attacks—0
Multiple instance dense connected convolution neural network for aerial image scene classification—0
Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper—0
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos—0
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationCode0
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans—0
A CNN toolbox for skin cancer classification—0
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial ExamplesCode0
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification—0
Transferability and Hardness of Supervised Classification Tasks—0
An efficient hybrid deep learning approach for internet security—0
AI for Earth: Rainforest Conservation by Acoustic Surveillance—0
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networksCode0
Non-negative Sparse and Collaborative Representation for Pattern Classification—0
Discriminative Topic Mining via Category-Name Guided Text EmbeddingCode0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

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