Summary of Hdl-gpt: High-quality Hdl Is All You Need, by Bhuvnesh Kumar et al.
HDL-GPT: High-Quality HDL is All You Needby Bhuvnesh Kumar, Saurav Nanda, Ganapathy Parthasarathy, Pawan Patil,…
Summary of Unlocking Tokens As Data Points For Generalization Bounds on Larger Language Models, by Sanae Lotfi et al.
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Modelsby Sanae Lotfi, Yilun…
Summary of Relating the Seemingly Unrelated: Principled Understanding Of Generalization For Generative Models in Arithmetic Reasoning Tasks, by Xingcheng Xu et al.
Relating the Seemingly Unrelated: Principled Understanding of Generalization for Generative Models in Arithmetic Reasoning Tasksby…
Summary of Dualfed: Enjoying Both Generalization and Personalization in Federated Learning Via Hierachical Representations, by Guogang Zhu et al.
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representationsby Guogang Zhu, Xuefeng…
Summary of Generalization Bounds Of Surrogate Policies For Combinatorial Optimization Problems, by Pierre-cyril Aubin-frankowski and Yohann De Castro and Axel Parmentier and Alessandro Rudi
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problemsby Pierre-Cyril Aubin-Frankowski, Yohann De Castro, Axel…
Summary of Channel-aware Low-rank Adaptation in Time Series Forecasting, by Tong Nie et al.
Channel-Aware Low-Rank Adaptation in Time Series Forecastingby Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun,…
Summary of Gradient-based Inference Of Abstract Task Representations For Generalization in Neural Networks, by Ali Hummos et al.
Gradient-based inference of abstract task representations for generalization in neural networksby Ali Hummos, Felipe del…
Summary of Towards Robust Knowledge Tracing Models Via K-sparse Attention, by Shuyan Huang et al.
Towards Robust Knowledge Tracing Models via k-Sparse Attentionby Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi…
Summary of Distribution-aware Robust Learning From Long-tailed Data with Noisy Labels, by Jae Soon Baik et al.
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labelsby Jae Soon Baik, In Young Yoon,…
Summary of Adaptive Gradient Regularization: a Faster and Generalizable Optimization Technique For Deep Neural Networks, by Huixiu Jiang et al.
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networksby Huixiu Jiang,…