Summary of Pathformer: Multi-scale Transformers with Adaptive Pathways For Time Series Forecasting, by Peng Chen et al.
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecastingby Peng Chen, Yingying Zhang, Yunyao…
Summary of Phase-driven Domain Generalizable Learning For Nonstationary Time Series, by Payal Mohapatra et al.
Phase-driven Domain Generalizable Learning for Nonstationary Time Seriesby Payal Mohapatra, Lixu Wang, Qi ZhuFirst submitted…
Summary of Geneft: Understanding Statics and Dynamics Of Model Generalization Via Effective Theory, by David D. Baek et al.
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theoryby David D. Baek, Ziming…
Summary of Learning to Route Among Specialized Experts For Zero-shot Generalization, by Mohammed Muqeeth et al.
Learning to Route Among Specialized Experts for Zero-Shot Generalizationby Mohammed Muqeeth, Haokun Liu, Yufan Liu,…
Summary of Rethinking Propagation For Unsupervised Graph Domain Adaptation, by Meihan Liu et al.
Rethinking Propagation for Unsupervised Graph Domain Adaptationby Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu,…
Summary of A High Dimensional Statistical Model For Adversarial Training: Geometry and Trade-offs, by Kasimir Tanner et al.
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offsby Kasimir Tanner, Matteo Vilucchio,…
Summary of Tighter Learning Guarantees on Digital Computers Via Concentration Of Measure on Finite Spaces, by Anastasis Kratsios et al.
Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spacesby Anastasis Kratsios,…
Summary of Investigating Generalization Behaviours Of Generative Flow Networks, by Lazar Atanackovic et al.
Investigating Generalization Behaviours of Generative Flow Networksby Lazar Atanackovic, Emmanuel BengioFirst submitted to arxiv on:…
Summary of Revisiting Early-learning Regularization When Federated Learning Meets Noisy Labels, by Taehyeon Kim et al.
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labelsby Taehyeon Kim, Donggyu Kim, Se-Young YunFirst…
Summary of Tag-llm: Repurposing General-purpose Llms For Specialized Domains, by Junhong Shen et al.
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domainsby Junhong Shen, Neil Tenenholtz, James Brian Hall, David…