Deep Learning
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
We conducted extensive experiments on the Waymo Open and nuScenes datasets.
Fine-Tuning Language Models with Just Forward Passes Sadhika Malladi Tianyu Gao
In this work, we propose a memory-efficient zeroth-order optimizer ( MeZO), adapting the classical ZO-SGD method to operate in-place, thereby fine-tuning LMs with the same memory footprint as inference .
IEBins: Iterative Elastic Bins for Monocular Depth Estimation
NYU-Depth-v2 and SUN RGB-D datasets demonstrate that the proposed method surpasses prior state-of-the-art competitors.
Harnessing Hard Mixed Samples with Decoupled Regularizer
CAM of top-2 predicted classes using mixup cross-entropy (MCE) and decoupled mixup (DM) loss.
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein
MD is often used to compute equilibrium properties, which requires sampling from an equilibrium distribution such as the Boltzmann distribution.
