DiJiang: Efficient Large Language Models through Compact Kernelization
【DL輪読会】DiJiang: Efficient Large Language Models through Compact Kernelization by @Dee more
カテゴリー: dls-2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
【DL輪読会】Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced more
In-Context Unlearning: Language Models as Few Shot Unlearners
【DL輪読会】In-Context Unlearning: Language Models as Few Shot Unlearners by @DeepLearning more
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability (ICML2024)
【DL輪読会】COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability (ICML2024 more
Deep metabolome: Applications of deep learning in metabolomics
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KTO: Model Alignment as Prospect Theoretic Optimization （ICML2024 ）
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Data Level Lottery Ticket Hypothesis
Data Level Lottery Ticket Hypothesis by @DeepLearning2023
“C-NERF: Representing Scene Changes asDirectional Consistency Difference-based NeRF”
“C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF” more
Neural Redshift: Random Networks are not Random Functions
Neural Redshift: Random Networks are not Random Functions by @DeepLearning2023