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Adam Byerly
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2020 – today
- 2024
- [c8]Muhan Gao, Taiming Lu, Kuai Yu, Adam Byerly, Daniel Khashabi:
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell. EMNLP (Findings) 2024: 7611-7625 - [i8]Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi:
Tur[k]ingBench: A Challenge Benchmark for Web Agents. CoRR abs/2403.11905 (2024) - [i7]Taiming Lu, Muhan Gao, Kuai Yu, Adam Byerly, Daniel Khashabi:
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell. CoRR abs/2406.14673 (2024) - [i6]Adam Byerly, Daniel Khashabi:
How Effective Is Self-Consistency for Long-Context Problems? CoRR abs/2411.01101 (2024) - 2023
- [j7]Adam Byerly
, Tatiana Kalganova:
Towards an Analytical Definition of Sufficient Data. SN Comput. Sci. 4(2): 144 (2023) - 2022
- [c7]Adam Byerly
The Current State of the Art in Deep Learning for Image Classification: A Review. SAI (2) 2022: 88-105 - [i5]Adam Byerly, Tatiana Kalganova:
Towards an Analytical Definition of Sufficient Data. CoRR abs/2202.03238 (2022) - [i4]Adam Byerly, Tatiana Kalganova:
Class Density and Dataset Quality in High-Dimensional, Unstructured Data. CoRR abs/2202.03856 (2022) - 2021
- [j6]Adam Byerly
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. IEEE Access 9: 48519-48530 (2021) - [j5]Adam Byerly
No routing needed between capsules. Neurocomputing 463: 545-553 (2021) - [c6]Adam Byerly
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of Micro-PCBs. KES-IDT 2021: 209-219 - [i3]Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik:
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs. CoRR abs/2101.11164 (2021) - 2020
- [c5]Chris Alvin, Adam Byerly:
Analysis of Region-Based Integral Calculus Problems. FLAIRS 2020: 461-465 - [i2]Adam Byerly, Tatiana Kalganova
A Branching and Merging Convolutional Network with Homogeneous Filter Capsules. CoRR abs/2001.09136 (2020)
2010 – 2019
- 2019
- [c4]Vladimir L. Uskov, Jeffrey P. Bakken, Adam Byerly
Machine Learning-based Predictive Analytics of Student Academic Performance in STEM Education. EDUCON 2019: 1370-1376 - [i1]Adam Byerly, Tatiana Kalganova
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. CoRR abs/1906.08676 (2019) - 2016
- [j4]Adam Byerly, Alexander Uskov:
A New Method of Exploring a Range of Genetic Parameters During the Execution of a Genetic Algorithm. Int. J. Comput. Sci. Appl. 13(2): 16-28 (2016) - [j3]Alexander Uskov, Adam Byerly, Colleen Heinemann:
Advanced Encryption Standard Analysis with Multimedia Data on Intel® AES-NI Architecture. Int. J. Comput. Sci. Appl. 13(2): 89-105 (2016) - [j2]Adam Byerly
A novel approach to avoiding early stagnation in Ant Colony Optimization algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 20(2): 113-121 (2016) - [j1]Alexander Uskov, Nataliya Serdyukova, Vladimir I. Serdyukov, Colleen Heinemann, Adam Byerly
Multi objective optimization of VPN design by linear programming with risks models. Int. J. Knowl. Based Intell. Eng. Syst. 20(3): 175-188 (2016) - [c3]Adam Byerly
A new parameter adaptation method for Genetic Algorithms and Ant Colony Optimization algorithms. EIT 2016: 668-673 - [c2]Colleen Heinemann, Sai Shankar Chaduvu, Adam Byerly
OpenCL and CUDA software implementations of encryption/decryption algorithms for IPsec VPNs. EIT 2016: 765-770 - [c1]Alexander V. Uskov, Natalia A. Serdyukova, Vladimir I. Serdyukov, Adam Byerly
Optimal Design of IPsec-Based Mobile Virtual Private Networks for Secure Transfer of Multimedia Data. IIMSS 2016: 51-62
Coauthor Index
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last updated on 2024-12-12 21:58 CET by the dblp team
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