Manifold Learning, Geometric Deep Learning, Curvature Analysis, Differential Geometry
The Power of Building from Scratch
towardsdatascience.comยท12h
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.orgยท1d
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
arxiv.orgยท3d
Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift
arxiv.orgยท2d
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
arxiv.orgยท1d
The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
arxiv.orgยท1d
Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition
arxiv.orgยท1d
Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
arxiv.orgยท2d
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
arxiv.orgยท1d
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise
arxiv.orgยท1d
Data Depth as a Risk
arxiv.orgยท3d
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