Neuroevolution of self-interpretable agents
Inattentional blindness is the psychological phenomenon that causes one to miss things in
plain sight. It is a consequence of the selective attention in perception that lets us remain …
plain sight. It is a consequence of the selective attention in perception that lets us remain …
Transforlearn: Interactive visual tutorial for the transformer model
The widespread adoption of Transformers in deep learning, serving as the core framework
for numerous large-scale language models, has sparked significant interest in …
for numerous large-scale language models, has sparked significant interest in …
Marmot: A deep learning framework for constructing multimodal representations for vision-and-language tasks
PY Wu, WR Mebane Jr - Computational Communication Research, 2022 - aup-online.com
Political activity on social media presents a data-rich window into political behavior, but the
vast amount of data means that almost all content analyses of social media require a data …
vast amount of data means that almost all content analyses of social media require a data …
Uncovering the Origins of Instability in Dynamical Systems: How Can the Attention Mechanism Help?
The behavior of the network and its stability are governed by both dynamics of the individual
nodes, as well as their topological interconnections. The attention mechanism as an integral …
nodes, as well as their topological interconnections. The attention mechanism as an integral …
[PDF][PDF] OS Pre-trained Transformer: Predicting Query Latencies across Changing System Contexts
Current approaches to instant specialized ML models can learn strong query latency
predictors for a database in one system context (eg, AWS instance type with a particular …
predictors for a database in one system context (eg, AWS instance type with a particular …
Automatic fact-checking with document-level annotations using bert and multiple instance learning
Automatic fact-checking is crucial for recognizing misinformation spreading on the internet.
Most existing fact-checkers break down the process into several subtasks, one of which …
Most existing fact-checkers break down the process into several subtasks, one of which …
[KÖNYV][B] Knowledge Science–Grundlagen
C Lanquillon, S Schacht - 2023 - Springer
Sie fragen sich sicherlich, warum noch ein Buch über Künstliche Intelligenz (KI)? Das
Thema Künstliche Intelligenz unterliegt aktuell einem großen Hype und KI-Technologien …
Thema Künstliche Intelligenz unterliegt aktuell einem großen Hype und KI-Technologien …
Machine Learning for Out of Distribution Database Workloads
P Negi - 2024 - dspace.mit.edu
DBMS query optimizers are designed using several heuristics to make decisions, such as
simplifying assumptions in cardinality estimation, or cost model assumptions for predicting …
simplifying assumptions in cardinality estimation, or cost model assumptions for predicting …
Uncovering the Origins of Instability in Dynamical Systems: How Attention Mechanism Can Help?
The behavior of the network and its stability are governed by both dynamics of individual
nodes as well as their topological interconnections. Attention mechanism as an integral part …
nodes as well as their topological interconnections. Attention mechanism as an integral part …
[PDF][PDF] POSGRADO EN CIENCIA E INGENIERÍA EN COMPUTACIÓN
AU Trejo - 2024 - ru.dgb.unam.mx
La tecnología celular ha mantenido un ritmo de evolución de aproximadamente una década
entre una generación a la siguiente con cambios de una tecnología analógica a digital o …
entre una generación a la siguiente con cambios de una tecnología analógica a digital o …