2 papers
cs.LG2024
Interactions Across Blocks in Post-Training Quantization of Large Language Models
Khasmamad Shabanovi, Lukas Wiest, Vladimir Golkov +2
Post-training quantization is widely employed to reduce the computational demands of neural networks. Typically, individual substructures, such as layers or blocks of layers, are q…
cs.LG2024
How to Choose a Reinforcement-Learning Algorithm
Fabian Bongratz, Vladimir Golkov, Lukas Mautner +5
The field of reinforcement learning offers a large variety of concepts and methods to tackle sequential decision-making problems. This variety has become so large that choosing an…