4 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Temporal Preference Concepts and their Functions in a Large Language Model
Ian Rios-Sialer, Shantanu Darveshi, Shuai Jiang +4
Large Language Models (LLMs) are increasingly being deployed to make decisions that require trading off near-term gains against long-term consequences, yet little is known about ho…
Size Matters
Mats L. Richter, Wolf Byttner, Ulf Krumnack +2
Fully convolutional neural networks can process input of arbitrary size by applying a combination of downsampling and pooling. However, we find that fully convolutional image class…
Feature Space Saturation during Training
Mats L. Richter, Justin Shenk, Wolf Byttner +2
We propose layer saturation - a simple, online-computable method for analyzing the information processing in neural networks. First, we show that a layer's output can be restricted…
Spectral Analysis of Latent Representations
Justin Shenk, Mats L. Richter, Anders Arpteg +1
We propose a metric, Layer Saturation, defined as the proportion of the number of eigenvalues needed to explain 99% of the variance of the latent representations, for analyzing the…