General Classification
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Benchmarks
Shrutime
XOR
iris
Activity
CVE to CWE mapping
CVR
Fashion-MNIST
ISOLET
MNIST
Mice Protein
Wine
Most implemented
Very Deep Convolutional Networks for Large-Scale Image Recognition
YOLO9000: Better, Faster, Stronger
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Convolutional Neural Networks for Sentence Classification
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Papers
Reinforcement Learning for Neural Model Editing
Editing pretrained neural networks requires specialized algorithms tailored to specific objectives. Designing such algorithms is often time-consuming and demands significant effort. We present an exploratory framework th…
Reinforcement LearningGeneral ClassificationImage ClassificationText ClassificationRethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
Weakly supervised anomaly detection (WSAD) has developed in three primary directions: incomplete, inexact, and inaccurate supervision. However, these directions remain isolated, lacking a unified framework to assess whet…
Supervised Anomaly DetectionGeneral ClassificationTrack Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
Track Circuits (TC) are the main signalling devices used to detect the presence of a train on a rail track. It has been used since the 19th century and nowadays there are many types depending on the technology. As a gene…
General ClassificationBridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, including high computational costs and perfo…
Computational EfficiencyGeneral ClassificationImage ClassificationText ClassificationSpecialized text classification: an approach to classifying Open Banking transactions
With the introduction of the PSD2 regulation in the EU which established the Open Banking framework, a new window of opportunities has opened for banks and fintechs to explore and enrich Bank transaction descriptions wit…
General Classificationtext-classificationText ClassificationUniversal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy
This work invokes the notion of $f$-divergence to introduce a novel upper bound on the Bayes error rate of a general classification task. We show that the proposed bound can be computed by sampling from the output of a p…
ClassificationGeneral Classificationtext-classificationText Classification