research
∙
05/20/2023
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
Whenever applicable, the Stochastic Gradient Descent (SGD) has shown its...
share
research
∙
04/20/2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search
Modern machine learning (ML) models are capable of impressive performanc...
research
∙
04/18/2023
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs
The self-attention revolution allowed generative language models to scal...
research
∙
03/21/2023
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Generative Language Models gained significant attention in late 2022 / e...
research
∙
06/01/2022
Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale
The advent of the internet, followed shortly by the social media made it...
research
∙
08/26/2021
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?
In this paper we address the problem of fine-tuned text generation with ...
research
∙
05/22/2020
