activity
20092026
most citedDistributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

242 citations · 1.7k across the 67 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.AI2023★ 8 cited

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89

In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…

cs.LG2023★ 11 cited

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

Jean Kossaifi, Nikola Kovachki, Kamyar Azizzadenesheli +1

Memory complexity and data scarcity have so far prohibited learning solution operators of partial differential equations (PDEs) at high resolutions. We address these limitations by…

cs.CV2023★ 6 cited

FB-BEV: BEV Representation from Forward-Backward View Transformations

Zhiqi Li, Zhiding Yu, Wenhai Wang +3

View Transformation Module (VTM), where transformations happen between multi-view image features and Bird-Eye-View (BEV) representation, is a crucial step in camera-based BEV perce…

cs.CV2023★ 5 cited

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

Yilun Chen, Zhiding Yu, Yukang Chen +4

False negatives (FN) in 3D object detection, {\em e.g.}, missing predictions of pedestrians, vehicles, or other obstacles, can lead to potentially dangerous situations in autonomou…

cs.CV2023

Differentially Private Video Activity Recognition

Zelun Luo, Yuliang Zou, Yijin Yang +6

In recent years, differential privacy has seen significant advancements in image classification; however, its application to video activity recognition remains under-explored. This…

cs.CV2023★ 1 cited

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids

Wei Dong, Chris Choy, Charles Loop +3

Indoor scene reconstruction from monocular images has long been sought after by augmented reality and robotics developers. Recent advances in neural field representations and monoc…