Adam Byerly

According to our database, Adam Byerly authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Effective Is Self-Consistency for Long-Context Problems?

Adam Byerly, Daniel Khashabi

CoRR, 2024

Tur[k]ingBench: A Challenge Benchmark for Web Agents.

Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi

CoRR, 2024

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell.

Muhan Gao, Taiming Lu, Kuai Yu, Adam Byerly, Daniel Khashabi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Towards an Analytical Definition of Sufficient Data.

Adam Byerly, Tatiana Kalganova

SN Comput. Sci., March, 2023

2022

Class Density and Dataset Quality in High-Dimensional, Unstructured Data.

Adam Byerly, Tatiana Kalganova

CoRR, 2022

The Current State of the Art in Deep Learning for Image Classification: A Review.

Adam Byerly, Tatiana Kalganova, Richard Ott

Proceedings of the Intelligent Computing, 2022

2021

No routing needed between capsules.

Adam Byerly, Tatiana Kalganova, Ian Dear

Neurocomputing, 2021

Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks.

Adam Byerly, Tatiana Kalganova

IEEE Access, 2021

On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of Micro-PCBs.

Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik

Proceedings of the Intelligent Decision Technologies, 2021

2020

A Branching and Merging Convolutional Network with Homogeneous Filter Capsules.

Adam Byerly, Tatiana Kalganova, Ian Dear

CoRR, 2020

Analysis of Region-Based Integral Calculus Problems.

Chris Alvin, Adam Byerly

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

Machine Learning-based Predictive Analytics of Student Academic Performance in STEM Education.

Vladimir L. Uskov, Jeffrey P. Bakken, Adam Byerly, Ashok Shah

Proceedings of the IEEE Global Engineering Education Conference, 2019

2016

Multi objective optimization of VPN design by linear programming with risks models.

Alexander Uskov, Nataliya Serdyukova, Vladimir I. Serdyukov, Colleen Heinemann, Adam Byerly

Int. J. Knowl. Based Intell. Eng. Syst., 2016

A novel approach to avoiding early stagnation in Ant Colony Optimization algorithms.

Adam Byerly, Alexander Uskov

Int. J. Knowl. Based Intell. Eng. Syst., 2016

Advanced Encryption Standard Analysis with Multimedia Data on Intel® AES-NI Architecture.

Alexander Uskov, Adam Byerly, Colleen Heinemann

Int. J. Comput. Sci. Appl., 2016

A New Method of Exploring a Range of Genetic Parameters During the Execution of a Genetic Algorithm.

Adam Byerly, Alexander Uskov

Int. J. Comput. Sci. Appl., 2016

Optimal Design of IPsec-Based Mobile Virtual Private Networks for Secure Transfer of Multimedia Data.

Alexander V. Uskov, Natalia A. Serdyukova, Vladimir I. Serdyukov, Adam Byerly, Colleen Heinemann

Proceedings of the Intelligent Interactive Multimedia Systems and Services 2016, 2016

OpenCL and CUDA software implementations of encryption/decryption algorithms for IPsec VPNs.

Colleen Heinemann, Sai Shankar Chaduvu, Adam Byerly, Alexander Uskov

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

A new parameter adaptation method for Genetic Algorithms and Ant Colony Optimization algorithms.

Adam Byerly, Alexander Uskov

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016