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Dong Gong

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling

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Dec 03, 2024
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Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA

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Dec 03, 2024
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Learning Mamba as a Continual Learner

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Dec 01, 2024
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Tokens on Demand: Token Condensation as Training-free Test-time Adaptation

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Oct 16, 2024
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Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models

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Oct 02, 2024
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UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation

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Sep 30, 2024
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Highway Graph to Accelerate Reinforcement Learning

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May 20, 2024
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CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

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Mar 28, 2024
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Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

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Mar 27, 2024
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Identifiable Latent Neural Causal Models

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Mar 23, 2024
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