Towards an active-learning approach to resource allocation for population-based damage prognosisby George Tsialiamanis, Keith Worden,…
Using Deep Autoregressive Models as Causal Inference Enginesby Daniel Jiwoong Im, Kevin Zhang, Nakul Verma,…
How green is continual learning, really? Analyzing the energy consumption in continual training of vision…
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecastingby Shuowei Cai, Hao LiuFirst submitted…
SOAR: Self-supervision Optimized UAV Action Recognition with Efficient Object-Aware Pretrainingby Ruiqi Xian, Xiyang Wu, Tianrui…
Local Prediction-Powered Inferenceby Yanwu Gu, Dong XiaFirst submitted to arxiv on: 26 Sep 2024CategoriesMain: Machine…
Embed and Emulate: Contrastive representations for simulation-based inferenceby Ruoxi Jiang, Peter Y. Lu, Rebecca WillettFirst…
MALPOLON: A Framework for Deep Species Distribution Modelingby Theo Larcher, Lukas Picek, Benjamin Deneu, Titouan…
Decomposable Transformer Point Processesby Aristeidis PanosFirst submitted to arxiv on: 26 Sep 2024CategoriesMain: Machine Learning…
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Coresby Shaobo Ma, Chao…