SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 9301–9350 of 14581 papers

TitleStatusHype
Gaussian Process Classification with Privileged Information by Soft-to-Hard Labeling Transfer—0
Email Classification into Relevant Category Using Neural Networks—0
Classification from Pairwise Similarity and Unlabeled DataCode0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
Augment and Reduce: Stochastic Inference for Large Categorical DistributionsCode0
Automatic Generation of Language-Independent Features for Cross-Lingual Classification—0
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images—0
Few-Shot Learning with Metric-Agnostic Conditional Embeddings—0
Deep Neural Networks for Bot DetectionCode0
Bridge type classification: supervised learning on a modified NBI dataset—0
Learning a Neural-network-based Representation for Open Set RecognitionCode0
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator—0
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation—0
Lightweight Classification of IoT Malware based on Image Recognition—0
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators—0
Supervised classification of Dermatological diseases by Deep learning—0
Uncharted Forest a Technique for Exploratory Data Analysis—0
TextZoo, a New Benchmark for Reconsidering Text Classification—0
Local Contrast Learning—0
Combinets: Creativity via Recombination of Neural Networks—0
Feature-Distributed SVRG for High-Dimensional Linear Classification—0
Document Classification Using Distributed Machine Learning—0
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Enhanced version of AdaBoostM1 with J48 Tree learning method—0
A Continuation Method for Discrete Optimization and its Application to Nearest Neighbor Classification—0
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land ClassificationCode0
Learning Local Metrics and Influential Regions for Classification—0
Generative ScatterNet Hybrid Deep Learning (G-SHDL) Network with Structural Priors for Semantic Image Segmentation—0
ATPboost: Learning Premise Selection in Binary Setting with ATP FeedbackCode0
Fibres of Failure: Classifying errors in predictive processes—0
Relational Autoencoder for Feature ExtractionCode0
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models—0
Unsupervised Classification of Galaxies. I. ICA feature selection—0
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization—0
Neyman-Pearson classification: parametrics and sample size requirement—0
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images—0
Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text ClassificationCode0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification—0
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System—0
Classification of Things in DBpedia using Deep Neural Networks—0
Efficient Large-Scale Multi-Modal Classification—0
Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier—0
Critical Percolation as a Framework to Analyze the Training of Deep Networks—0
A Survey Of Methods For Explaining Black Box Models—0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders—0
Weakly-supervised Dictionary Learning—0
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained ClassifiersCode0
A Method for Restoring the Training Set Distribution in an Image Classifier—0
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images—0
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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