Manifold Learning, Geometric Deep Learning, Curvature Analysis, Differential Geometry
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.orgยท12h
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
Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks
arxiv.orgยท12h
The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
arxiv.orgยท1d
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