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 2
March 28, 2025
Data-driven worker activity recognition and picking efficiency estimation in manual strawberry harvesting
Uddhav Bhattarai, Rajkishan Arikapudi, Steven A. Fennimore, Frank N Martin, Stavros G. VougioukasDavis●U.S. Department of Agriculture Agricultural Research ServiceMitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy Prediction
Seokha Moon, Janghyun Baek, Giseop Kim, Jinkyu Kim, Sunwook ChoiKorea University●NA VER LABS●DGIST
March 26, 2025
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework
Soham SaneCollins AerospaceEfficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi ChenGraph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control
Eloy Anguiano Batanero, Ángela Fernández, Álvaro BarberoInstituto de Ingenier´ ıa del Conocimiento●Universidad Aut´ onoma de MadridSiformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition
Muxin Pu, Mei Kuan Lim, Chun Yong ChongMonash University MalaysiaEVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi LiaoZhejiang University●Huawei Noah’s Ark Lab●University of T¨ubingen●T¨ubingen AI Center
March 24, 2025
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady PekhimenkoUniversity of Toronto●Vector Institute●CentML●SigIQ.aiEfficient and Accurate Scene Text Recognition with Cascaded-Transformers
Savas Ozkan, Andrea Maracani, Hyowon Kim, Sijun Cho, Eunchung Noh, Jeongwon Min, Jung Min Cho, Mete OzaySamsung Research●Samsung ElectronicsEfficient Self-Supervised Adaptation for Medical Image Analysis
Moein Sorkhei, Emir Konuk, Jingyu Guo, Christos Matsoukas, Kevin SmithKTH Royal Institute of Technology●Science for Life LaboratoryPP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition
Hongen Liu, Cheng Cui, Yuning Du, Yi Liu, Gang PanBaidu Inc.●Tianjin University
March 21, 2025
ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes
Zhengqing Gao, Dongting Hu, Jia-Wang Bian, Huan Fu, Yan Li, Tongliang Liu, Mingming Gong, Kun ZhangMBZUAI●University of Melbourne●Alibaba GroupEfficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
Reem Gody, Mohamed Abdelghaffar, Mohammed Jabreel, Ahmed TawfikMicrosoft AI