Summary of Learning to Grok: Emergence Of In-context Learning and Skill Composition in Modular Arithmetic Tasks, by Tianyu He et al.
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksby Tianyu…
Summary of Pretrained Mobility Transformer: a Foundation Model For Human Mobility, by Xinhua Wu et al.
Pretrained Mobility Transformer: A Foundation Model for Human Mobilityby Xinhua Wu, Haoyu He, Yanchao Wang,…
Summary of Landscape-aware Growing: the Power Of a Little Lag, by Stefani Karp et al.
Landscape-Aware Growing: The Power of a Little LAGby Stefani Karp, Nikunj Saunshi, Sobhan Miryoosefi, Sashank…
Summary of A Survey Of Transformer Enabled Time Series Synthesis, by Alexander Sommers et al.
A Survey of Transformer Enabled Time Series Synthesisby Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram…
Summary of Aroma: Preserving Spatial Structure For Latent Pde Modeling with Local Neural Fields, by Louis Serrano et al.
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fieldsby Louis Serrano, Thomas…
Summary of Mamba As Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning, by Jiahang Cao et al.
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learningby Jiahang Cao, Qiang…
Summary of Explicitly Encoding Structural Symmetry Is Key to Length Generalization in Arithmetic Tasks, by Mahdi Sabbaghi et al.
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasksby Mahdi Sabbaghi, George…
Summary of Learning-to-cache: Accelerating Diffusion Transformer Via Layer Caching, by Xinyin Ma et al.
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Cachingby Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao…
Summary of Ce-nas: An End-to-end Carbon-efficient Neural Architecture Search Framework, by Yiyang Zhao et al.
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Frameworkby Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian…
Summary of Universal In-context Approximation by Prompting Fully Recurrent Models, By Aleksandar Petrov et al.
Universal In-Context Approximation By Prompting Fully Recurrent Modelsby Aleksandar Petrov, Tom A. Lamb, Alasdair Paren,…