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20222024
most citedLearning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos

7 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL20241 cited

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework

Peng Xing, Yinghui Li, Shirong Ma +6

Chinese Spelling Correction (CSC) aims to detect and correct spelling errors in given sentences. Recently, multi-domain CSC has gradually attracted the attention of researchers bec…

cs.LG2024

Few-Shot Class-Incremental Learning with Prior Knowledge

Wenhao Jiang, Duo Li, Menghan Hu +3

To tackle the issues of catastrophic forgetting and overfitting in few-shot class-incremental learning (FSCIL), previous work has primarily concentrated on preserving the memory of…

cs.LG2023

RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning

Ziyu Wang, Wenhao Jiang, Zixuan Zhang +2

Sequential processes in real-world often carry a combination of simple subsystems that interact with each other in certain forms. Learning such a modular structure can often improv…

cs.CL20231 cited

Prefix-Tuning Based Unsupervised Text Style Transfer

Huiyu Mai, Wenhao Jiang, Zhihong Deng

Unsupervised text style transfer aims at training a generative model that can alter the style of the input sentence while preserving its content without using any parallel data. In…

cs.LG20232 cited

Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?

Yihan Zhang, Wenhao Jiang, Feng Zheng +3

Decentralized minimax optimization has been actively studied in the past few years due to its application in a wide range of machine learning models. However, the current theoretic…

cs.CV20237 cited

Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos

Teng Wang, Jinrui Zhang, Feng Zheng +3

Joint video-language learning has received increasing attention in recent years. However, existing works mainly focus on single or multiple trimmed video clips (events), which make…