Wei Chen* — accepted AI-conference papers

2024

BAFFLE: A Baseline of Backpropagation-Free Federated Learning

Haozhe Feng*, Tianyu Pang*, Chao Du, Wei Chen*, Shuicheng Yan, Min Lin

ECCV 2024poster

"Federated learning (FL) is a general principle for decentralized clients to train a server model collectively without sharing local data. FL is a promising framework with practical applications, but its standard training paradigm requires the clients to backpropagate through the model to compute gr…

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2024

Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs

Shi Liu*, Kecheng Zheng*, Wei Chen*

ECCV 2024poster

"Existing Large Vision-Language Models (LVLMs) primarily align image features of vision encoder with Large Language Models (LLMs) to leverage their superior text generation capabilities. However, the scale disparity between vision encoder and language model may led to LLMs assuming a predominant rol…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗