Summary of Magic: Modular Auto-encoder For Generalisable Model Inversion with Bias Corrections, by Yihang She et al.
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Correctionsby Yihang She, Clement Atzberger, Andrew…
Summary of Monde: Mixture Of Near-data Experts For Large-scale Sparse Models, by Taehyun Kim et al.
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Modelsby Taehyun Kim, Kwanseok Choi, Youngmock Cho,…
Summary of Finercut: Finer-grained Interpretable Layer Pruning For Large Language Models, by Yang Zhang et al.
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Modelsby Yang Zhang, Yawei Li, Xinpeng Wang,…
Summary of Inversionview: a General-purpose Method For Reading Information From Neural Activations, by Xinting Huang et al.
InversionView: A General-Purpose Method for Reading Information from Neural Activationsby Xinting Huang, Madhur Panwar, Navin…
Summary of Litevae: Lightweight and Efficient Variational Autoencoders For Latent Diffusion Models, by Seyedmorteza Sadat et al.
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Modelsby Seyedmorteza Sadat, Jakob Buhmann, Derek…
Summary of Scaling-laws For Large Time-series Models, by Thomas D. P. Edwards et al.
Scaling-laws for Large Time-series Modelsby Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H.…
Summary of Next-token Prediction Capacity: General Upper Bounds and a Lower Bound For Transformers, by Liam Madden et al.
Next-token prediction capacity: general upper bounds and a lower bound for transformersby Liam Madden, Curtis…
Summary of Cg-fedllm: How to Compress Gradients in Federated Fune-tuning For Large Language Models, by Huiwen Wu et al.
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Modelsby Huiwen Wu, Xiaohan…
Summary of Task-agnostic Decision Transformer For Multi-type Agent Control with Federated Split Training, by Zhiyuan Wang et al.
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Trainingby Zhiyuan Wang, Bokui Chen,…
Summary of How to Trace Latent Generative Model Generated Images Without Artificial Watermark?, by Zhenting Wang et al.
How to Trace Latent Generative Model Generated Images without Artificial Watermark?by Zhenting Wang, Vikash Sehwag,…