Education
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies Wei Fang
To avoid the use of future inputs for step-by-step inference, the weights of the PSN can be masked, resulting in the masked PSN.
A Benchmark Task Details
In the United States, health insurance is a critical component of individuals' ability to access health care.
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein
MD is often used to compute equilibrium properties, which requires sampling from an equilibrium distribution such as the Boltzmann distribution.
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset
The results show that GPT -4 had the best accuracy of 61.6% and a weighted F1
A Cooperative Role Playing The Good Mind
For each (topic, subtopic) pair, we generate and solve 80 problems using GPT4.
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm
However, the typical bilevel formulation for coreset selection explicitly performs optimization over discrete decision variables with greedy search, which is computationally expensive.
Language models are weak learners
A central notion in practical and theoretical machine learning is that of a weak learner, classifiers that achieve better-than-random performance (on any given distribution over data), even by a small margin. Such weak learners form the practical basis for canonical machine learning methods such as boosting.