Neuroevolution of self-interpretable agents

Y Tang, D Nguyen, D Ha - Proceedings of the 2020 Genetic and …, 2020 - dl.acm.org
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 …

Transforlearn: Interactive visual tutorial for the transformer model

L Gao, Z Shao, Z Luo, H Hu, C Turkay… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The widespread adoption of Transformers in deep learning, serving as the core framework
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 …

Uncovering the Origins of Instability in Dynamical Systems: How Can the Attention Mechanism Help?

N Bahador, M Lankarany - Dynamics, 2023 - mdpi.com
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 …

[PDF][PDF] OS Pre-trained Transformer: Predicting Query Latencies across Changing System Contexts

P Negi, Z Wu, A Nasr-Esfahany, H Sharma, M Alizadeh… - 2024 - people.csail.mit.edu
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 …

Automatic fact-checking with document-level annotations using bert and multiple instance learning

A Sathe, J Park - Proceedings of the Fourth Workshop on Fact …, 2021 - aclanthology.org
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 …

[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 …

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 …

Uncovering the Origins of Instability in Dynamical Systems: How Attention Mechanism Can Help?

N Bahador, M Lankarany - arxiv preprint arxiv:2212.09641, 2022 - arxiv.org
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 …

[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 …