Machine Learning · Computer Science
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang +4
2022-02-07
Machine Learning · Statistics
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner +2
2017-09-08
Formal Languages and Automata Theory · Computer Science
A Load-Buffer Semantics for Total Store Ordering
Parosh Aziz Abdulla, Mohamed Faouzi Atig, Ahmed Bouajjani, Tuan Phong Ngo
2023-06-22
Machine Learning · Computer Science
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
JingChuan Guan, Tomoyuki Kubota, Yasuo Kuniyoshi, Kohei Nakajima
2025-10-02
Machine Learning · Computer Science
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management
Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
2022-07-22
Machine Learning · Computer Science
Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures
Parsa Omidi, Xingshuai Huang, Axel Laborieux, Bahareh Nikpour +2
2025-08-19
Machine Learning · Statistics
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Herve Jegou +1
2023-11-08
Machine Learning · Computer Science
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications
Krisvarish V, Priyadarshini T, K P Abhishek Sri Saai, Vaidehi Vijayakumar
2025-01-03
Programming Languages · Computer Science
Weak Memory Models with Matching Axiomatic and Operational Definitions
Sizhuo Zhang, Muralidaran Vijayaraghavan, Dan Lustig, Arvind
2019-04-11
Formal Languages and Automata Theory · Computer Science
Learning EFSM Models with Registers in Guards
Germán Vega, Roland Groz, Catherine Oriat, Michael Foster +2
2024-06-12