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Found 6 papers, 0 papers with code
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
In response to this, inspired by the idea that the functions of the brain are shaped by its geometric structure, this paper integrates this idea into LoRA technology and proposes a new matrix transformation-based reparameterization method for efficient fine-tuning, named Matrix-Transformation based Low-Rank Adaptation (MTLoRA).
STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models
This paper presents Social data and knowledge collective intelligence platform for TRaining Ethical AI Models (STREAM) to address the challenge of aligning AI models with human moral values, and to provide ethics datasets and knowledge bases to help promote AI models "follow good advice as naturally as a stream follows its course".
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning
The current learning process of deep learning, regardless of any deep neural network (DNN) architecture and/or learning algorithm used, is essentially a single resolution training.
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
Reasoning and question answering as a basic cognitive function for humans, is nevertheless a great challenge for current artificial intelligence.
Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning
For the fields of neuroscience and cognitive science, the work in this paper provided the foundation of computational modeling for further exploration of the way the human brain represents commonsense knowledge.
Selection of multiple donor gauges via Graphical Lasso for estimation of daily streamflow time series
A fundamental challenge in estimations of daily streamflow time series at sites with incomplete records is how to effectively and efficiently select reference or donor gauges from an existing gauge network to infer the missing data.
Time Series Analysis
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