AIMC Topic: Generalization, Psychological

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Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2023
We prove new generalization bounds for stochastic gradient descent when training classifiers with invariances. Our analysis is based on the stability framework and covers both the convex case of linear classifiers and the non-convex case of homogeneo...
Neural Networks, Computer Learning Generalization, Psychological
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UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection.

Neural networks : the official journal of the International Neural Network Society Feb 15, 2023
Dimensional reduction (DR) maps high-dimensional data into a lower dimensions latent space with minimized defined optimization objectives. The two independent branches of DR are feature selection (FS) and feature projection (FP). FS focuses on select...
Neural Networks, Computer Learning Generalization, Psychological
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The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2023
Convolutional neural networks (CNNs) are often described as promising models of human vision, yet they show many differences from human abilities. We focus on a superhuman capacity of top-performing CNNs, namely, their ability to learn very large dat...
Humans Neural Networks, Computer Learning Generalization, Psychological
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Multi-relational graph convolutional networks: Generalization guarantees and experiments.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2023
The class of multi-relational graph convolutional networks (MRGCNs) is a recent extension of standard graph convolutional networks (GCNs) to handle heterogenous graphs with multiple types of relationships. MRGCNs have been shown to yield results supe...
Machine Learning Generalization, Psychological
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Learning matrix factorization with scalable distance metric and regularizer.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2023
Matrix factorization has always been an encouraging field, which attempts to extract discriminative features from high-dimensional data. However, it suffers from negative generalization ability and high computational complexity when handling large-sc...
Neural Networks, Computer Algorithms Forecasting Learning Generalization, Psychological
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CrimeNet: Neural Structured Learning using Vision Transformer for violence detection.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2023
The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it is still below 90% of average precision in the most complex datasets, which may pose a problem of frequent false alarms in video ...
Neural Networks, Computer Artificial Intelligence Violence Generalization, Psychological
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VISAL-A novel learning strategy to address class imbalance.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2023
In the imbalance data scenarios, Deep Neural Networks (DNNs) fail to generalize well on minority classes. In this letter, we propose a simple and effective learning function i.e, Visually Interpretable Space Adjustment Learning (VISAL) to handle the ...
Neural Networks, Computer Machine Learning Algorithms Learning Generalization, Psychological
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SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2022
Recurrent Neural Network (RNN) models have been applied in different domains, producing high accuracies on time-dependent data. However, RNNs have long suffered from exploding gradients during training, mainly due to their recurrent process. In this ...
Neural Networks, Computer Language Generalization, Psychological
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Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2022
We consider synchronous data-parallel neural network training with a fixed large batch size. While the large batch size provides a high degree of parallelism, it degrades the generalization performance due to the low gradient noise scale. We propose ...
Neural Networks, Computer Learning Heuristics Generalization, Psychological
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Contrastive language and vision learning of general fashion concepts.

Scientific reports Nov 8, 2022
The steady rise of online shopping goes hand in hand with the development of increasingly complex ML and NLP models. While most use cases are cast as specialized supervised learning problems, we argue that practitioners would greatly benefit from gen...
Language Natural Language Processing Generalization, Psychological Spatial Learning
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