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Found 4 papers, 1 papers with code
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
The framework of IL consists of three primary components: a neural module, a reasoning engine, and a memory system.
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
We address these issues by reformulating MTSP as a bilevel optimization problem, using the concept of imperative learning (IL).
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is proposed to improve Alzheimer's disease (AD) diagnosis performance.
Interrelate Training and Searching: A Unified Online Clustering Framework for Speaker Diarization
For online speaker diarization, samples arrive incrementally, and the overall distribution of the samples is invisible.
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