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Mar 2
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Jan 30, 2024
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Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Paper • 2303.10512 • Published • 4 -
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Paper • 2205.05638 • Published • 6 -
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Paper • 2303.16199 • Published • 5 -
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Paper • 2108.06098 • Published • 4
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Mar 2
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Dec 8, 2023
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Dec 8, 2023
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Dec 17, 2025
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Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Paper • 2310.06389 • Published • 1 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 49 -
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Paper • 2305.13655 • Published • 7
Collection by Mar 2
Collection by Jan 30, 2024
-
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Paper • 2303.10512 • Published • 4 -
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Paper • 2205.05638 • Published • 6 -
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Paper • 2303.16199 • Published • 5 -
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Paper • 2108.06098 • Published • 4
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Mar 2
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Dec 8, 2023
Collection by Dec 8, 2023
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Dec 10, 2023
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Jun 9
Collection by Dec 17, 2025
-
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Paper • 2310.06389 • Published • 1 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 49 -
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Paper • 2305.13655 • Published • 7