research
∙
08/10/2023
Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length
The Reinforcement Learning from Human Feedback (RLHF) plays a pivotal ro...
share
research
∙
03/27/2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
In the field of 3D object detection for autonomous driving, the sensor p...
research
∙
02/27/2023
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
3D Semantic Scene Completion (SSC) can provide dense geometric and seman...
research
∙
12/17/2022
Toward Data Heterogeneity of Federated Learning
Federated learning is a popular paradigm for machine learning. Ideally, ...
research
∙
07/12/2022
Collaborative Neural Rendering using Anime Character Sheets
Drawing images of characters at desired poses is an essential but labori...
research
∙
09/26/2021
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
Image reconstruction from undersampled k-space data plays an important r...
research
∙
06/24/2021
Regression Trees and Ensembles for Cumulative Incidence Functions
The use of cumulative incidence functions for characterizing the risk of...
research
∙
11/13/2020
Regression Trees for Cumulative Incidence Functions
The use of cumulative incidence functions for characterizing the risk of...
research
∙
05/30/2020
The global information for land cover classification by dual-branch deep learning
Land cover classification has played an important role in remote sensing...
research
∙
10/28/2019
Knowledge-Aided Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems
Millimeter-wave massive multiple-input multiple-output (MIMO) can use a ...
research
∙
08/09/2019
Analysis of regression discontinuity designs using censored data
In medical settings, treatment assignment may be determined by a clinica...
research
∙
07/25/2017