SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2050 of 14581 papers

TitleStatusHype
A Two-stage Classification Method for High-dimensional Data and Point Clouds—0
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms—0
A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder—0
Amino acid frequency and domain features serve well for random forest based classification of thermophilic and mesophilic protein; a case study on serine proteases—0
Audio Classification of Bit-Representation Waveform—0
Audio Content Analysis—0
Audio feature ranking for sound-based COVID-19 patient detection—0
Audio Scene Classification with Deep Recurrent Neural Networks—0
A mixture model for aggregation of multiple pre-trained weak classifiers—0
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention—0
A Cross-Topic Method for Supervised Relevance Classification—0
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events—0
Auditing: Active Learning with Outcome-Dependent Query Costs—0
Auditing and Achieving Intersectional Fairness in Classification Problems—0
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network—0
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification—0
A Classification-Based Perspective on GAN Distributions—0
Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data—0
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
Augmented Hard Example Mining for Generalizable Person Re-Identification—0
Augmenting BERT Carefully with Underrepresented Linguistic Features—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
Adaptive Sequential Optimization with Applications to Machine Learning—0
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification—0
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults—0
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification—0
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World—0
Augmenting transferred representations for stock classification—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples—0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning—0
A Unified Framework for Shot Type Classification Based on Subject Centric Lens—0
A Unified Framework for Training Neural Networks—0
A Mood-based Genre Classification of Television Content—0
A Unified Method for First and Third Person Action Recognition—0
A Morphological Analyzer for Japanese Nouns, Verbs and Adjectives—0
A unified theory of adaptive stochastic gradient descent as Bayesian filtering—0
A Unified View of Multi-Label Performance Measures—0
A unifying approach on bias and variance analysis for classification—0
A Universal Approximation Theorem for Mixture of Experts Models—0
A Platform for Event Extraction in Hindi—0
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection—0
A U-statistic estimator for the variance of resampling-based error estimators—0
A Framework for Shape Analysis via Hilbert Space Embedding—0
A Pitfall of Unsupervised Pre-Training—0
A Pitfall of Unsupervised Pre-Training—0
A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks—0
Show:102550
← PrevPage 41 of 292Next →
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