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20202026
most citedMultimodal Federated Learning via Contrastive Representation Ensemble

36 citations · 49 across the 18 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023★ 1 cited

Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards

Bo Xue, Yimu Wang, Yuanyu Wan +2

This paper investigates the problem of generalized linear bandits with heavy-tailed rewards, whose -th moment is bounded for some . Although there exist methods…

cs.CV2023★ 1 cited

InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution

Xiangru Jian, Yimu Wang

Over recent decades, significant advancements in cross-modal retrieval are mainly driven by breakthroughs in visual and linguistic modeling. However, a recent study shows that mult…

cs.LG2023★ 1 cited

Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks

Yimu Wang, Xiangru Jian, Bo Xue

In this work, we present a post-processing solution to address the hubness problem in cross-modal retrieval, a phenomenon where a small number of gallery data points are frequently…

cs.CV2023★ 3 cited

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning

Taehoon Kim, Pyunghwan Ahn, Sangyun Kim +39

In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed t…

cs.AI2023

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets

Yimu Wang, Dinghuai Zhang, Yihan Wu +2

Despite incredible advances, deep learning has been shown to be susceptible to adversarial attacks. Numerous approaches have been proposed to train robust networks both empirically…

cs.CV2023★ 2 cited

Video-Text Retrieval by Supervised Sparse Multi-Grained Learning

Yimu Wang, Peng Shi

While recent progress in video-text retrieval has been advanced by the exploration of better representation learning, in this paper, we present a novel multi-grained sparse learnin…

cs.LG2023★ 36 cited

Multimodal Federated Learning via Contrastive Representation Ensemble

Qiying Yu, Yang Liu, Yimu Wang +2

With the increasing amount of multimedia data on modern mobile systems and IoT infrastructures, harnessing these rich multimodal data without breaching user privacy becomes a criti…