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20232026
most citedRevisiting Neural Networks for Continual Learning: An Architectural Perspective

2 citations · 6 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

UP-MOPD: Update Projection in Multi-Teacher On-Policy Distillation

Taojie Zhu, Jing Jin, Yuan Xia +8

On-policy distillation from multiple teachers combines expertise from different domains in a single student, but conflicting gradients can hinder this integration. Gradient correct…

cs.CV2026

GUI-AC: Enhancing Continual Learning in GUI Agents

Can Lin, Tao Feng, Hangjie Yuan +3

Graphical User Interfaces (GUIs) serve as the dominant medium for human-computer interaction, yet building GUI agents that generalize across the vast diversity of real-world interf…

cs.CV2026

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning

Yifan Zhu, Can Lin, Hangjie Yuan +4

Parameter-Efficient Fine-Tuning (PEFT) methods provide a streamlined and efficient tool for adapting large models to domain-specific multimodal downstream tasks. Although these met…

cs.CV2025

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think

Tao Feng, Wei Li, Didi Zhu +4

Backpropagation provides a generalized configuration for overcoming catastrophic forgetting. Optimizers such as SGD and Adam are commonly used for weight updates in continual learn…

cs.CV2023★ 1 cited

InstructVideo: Instructing Video Diffusion Models with Human Feedback

Hangjie Yuan, Shiwei Zhang, Xiang Wang +7

Diffusion models have emerged as the de facto paradigm for video generation. However, their reliance on web-scale data of varied quality often yields results that are visually unap…