Summary of Long Input Sequence Network For Long Time Series Forecasting, by Chao Ma et al.
Long Input Sequence Network for Long Time Series Forecastingby Chao Ma, Yikai Hou, Xiang Li,…
Summary of Metaaug: Meta-data Augmentation For Post-training Quantization, by Cuong Pham et al.
MetaAug: Meta-Data Augmentation for Post-Training Quantizationby Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung…
Summary of Berter: the Efficient One, by Pradyumna Saligram et al.
BERTer: The Efficient Oneby Pradyumna Saligram, Andrew LanpouthakounFirst submitted to arxiv on: 19 Jul 2024CategoriesMain:…
Summary of Correcting the Mythos Of Kl-regularization: Direct Alignment Without Overoptimization Via Chi-squared Preference Optimization, by Audrey Huang et al.
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimizationby Audrey Huang,…
Summary of Preventing Catastrophic Overfitting in Fast Adversarial Training: a Bi-level Optimization Perspective, by Zhaoxin Wang et al.
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspectiveby Zhaoxin Wang, Handing Wang,…
Summary of Why Do You Grok? a Theoretical Analysis Of Grokking Modular Addition, by Mohamad Amin Mohamadi et al.
Why Do You Grok? A Theoretical Analysis of Grokking Modular Additionby Mohamad Amin Mohamadi, Zhiyuan…
Summary of Enhancing Parameter Efficiency and Generalization in Large-scale Models: a Regularized and Masked Low-rank Adaptation Approach, by Yuzhu Mao et al.
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approachby…
Summary of Subject-driven Text-to-image Generation Via Preference-based Reinforcement Learning, by Yanting Miao et al.
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learningby Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart,…
Summary of Understanding Transformers Via N-gram Statistics, by Timothy Nguyen
Understanding Transformers via N-gram Statisticsby Timothy NguyenFirst submitted to arxiv on: 30 Jun 2024CategoriesMain: Computation…
Summary of Residual Resampling-based Physics-informed Neural Network For Neutron Diffusion Equations, by Heng Zhang et al.
Residual resampling-based physics-informed neural network for neutron diffusion equationsby Heng Zhang, Yun-Ling He, Dong Liu,…