High Efficiency
High efficiency in various computational domains is a central research theme, aiming to minimize resource consumption (time, memory, energy) while maintaining or improving performance. Current efforts focus on developing novel algorithms and architectures, such as optimized Thompson sampling for reinforcement learning, sparse attention mechanisms for transformers, and efficient model compression techniques, to achieve this goal across diverse applications including natural language processing, computer vision, and robotics. These advancements are crucial for deploying complex AI models on resource-constrained devices and for accelerating scientific discovery in data-intensive fields.
789papers
Papers - Page 15
November 7, 2024
November 6, 2024
November 4, 2024
November 3, 2024
November 1, 2024
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations
Empower Vision Applications with LoRA LMM
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems
October 31, 2024
October 30, 2024
October 29, 2024
October 28, 2024