Computer Vision and Pattern Recognition · Computer Science
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
Henry Herzog, Favyen Bastani, Yawen Zhang, Gabriel Tseng +22
2025-11-18
Computer Vision and Pattern Recognition · Computer Science
SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation
Víctor Barreiro, Johannes Jakubik, Francisco Argüello, Dora B. Heras
2026-03-23
Machine Learning · Computer Science
A Survey on Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He +2
2023-05-05
Distributed, Parallel, and Cluster Computing · Computer Science
Designing Large Foundation Models for Efficient Training and Inference: A Survey
Dong Liu, Yanxuan Yu, Yite Wang, Jing Wu +4
2025-04-15
Computational Engineering, Finance, and Science · Computer Science
Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems
Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang +1
2024-11-26
Machine Learning · Computer Science
Preparing Lessons for Progressive Training on Language Models
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi +5
2024-02-13
Machine Learning · Computer Science
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu
2020-07-08
Computer Vision and Pattern Recognition · Computer Science
MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training
Lucia Gordon, Serge Belongie, Christian Igel, Nico Lang
2026-02-09
Distributed, Parallel, and Cluster Computing · Computer Science
EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
Hasibul Jamil, MD S Q Zulkar Nine, Tevfik Kosar
2025-08-18
Computer Vision and Pattern Recognition · Computer Science
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
2021-04-27
Computer Vision and Pattern Recognition · Computer Science
Neural Architecture Design for GPU-Efficient Networks
Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian +2
2020-08-13
Machine Learning · Computer Science
Refining embeddings with fill-tuning: data-efficient generalised performance improvements for materials foundation models
Matthew P. Wilson, Edward O. Pyzer-Knapp, Nicolas Galichet, Luke Dicks
2025-02-20
Computation and Language · Computer Science
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton +7
2024-05-03
Machine Learning · Computer Science
PDE foundation models are skillful AI weather emulators for the Martian atmosphere
Johannes Schmude, Sujit Roy, Liping Wang, Theodore van Kessel +9
2026-02-17
Distributed, Parallel, and Cluster Computing · Computer Science
Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training
Mingyu Liang, Hiwot Tadese Kassa, Wenyin Fu, Brian Coutinho +2
2025-04-15
Computation and Language · Computer Science
Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang
2024-12-09
Machine Learning · Computer Science
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu +3
2019-12-09
Computation and Language · Computer Science
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin +4
2023-10-20
Machine Learning · Computer Science
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang +1
2020-05-01
Computation and Language · Computer Science
CPM-2: Large-scale Cost-effective Pre-trained Language Models
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen +15
2021-06-25
Computation and Language · Computer Science
ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs
HanGyeol Yoo, ChangSu Choi, Minjun Kim, Seohyun Song +5
2026-01-21
Computation and Language · Computer Science
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang +4
2022-06-17
Machine Learning · Computer Science
FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
Yiming Yao, Fei Liu, Liang Zhao, Xi Lin +2
2026-02-03