research
∙
03/02/2023
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
Recently, finetuning pretrained vision-language models (VLMs) has become...
share
research
∙
12/18/2022
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Reinforcement learning-based (RL-based) energy management strategy (EMS)...
research
∙
11/18/2022
Potential Auto-driving Threat: Universal Rain-removal Attack
The problem of robustness in adverse weather conditions is considered a ...
research
∙
11/08/2022
Progress and summary of reinforcement learning on energy management of MPS-EV
The high emission and low energy efficiency caused by internal combustio...
research
∙
09/14/2022
Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering
Benefiting from large-scale Pretrained Vision-Language Models (VL-PMs), ...
research
∙
09/12/2022
A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles
The multi-source electromechanical coupling makes the energy management ...
research
∙
11/29/2021
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering
Video Question Answering (VideoQA), aiming to correctly answer the given...
research
∙
10/27/2020
