Summary of Optimized Cnns For Rapid 3d Point Cloud Object Recognition, by Tianyi Lyu et al.
Optimized CNNs for Rapid 3D Point Cloud Object Recognitionby Tianyi Lyu, Dian Gu, Peiyuan Chen,…
Summary of Interpretable Generalized Additive Models For Datasets with Missing Values, by Hayden Mctavish et al.
Interpretable Generalized Additive Models for Datasets with Missing Valuesby Hayden McTavish, Jon Donnelly, Margo Seltzer,…
Summary of T-reg: Preference Optimization with Token-level Reward Regularization, by Wenxuan Zhou et al.
T-REG: Preference Optimization with Token-Level Reward Regularizationby Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao MengFirst…
Summary of Effectiveness Of L2 Regularization in Privacy-preserving Machine Learning, by Nikolaos Chandrinos (1) et al.
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learningby Nikolaos Chandrinos, Iliana Loi, Panagiotis Zachos, Ioannis…
Summary of Leveraging Intermediate Neural Collapse with Simplex Etfs For Efficient Deep Neural Networks, by Emily Liu
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networksby Emily LiuFirst submitted…
Summary of Learning Mamba As a Continual Learner: Meta-learning Selective State Space Models For Efficient Continual Learning, by Chongyang Zhao and Dong Gong
Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learningby…
Summary of Learning Locally, Revising Globally: Global Reviser For Federated Learning with Noisy Labels, by Yuxin Tian et al.
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labelsby Yuxin Tian, Mouxing…
Summary of Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows, by Feng Liu et al.
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflowsby Feng Liu, Haipeng Li, Guangyuan Zou, Junlun…
Summary of Deep Neural Network-based Prediction Of B-cell Epitopes For Sars-cov and Sars-cov-2: Enhancing Vaccine Design Through Machine Learning, by Xinyu Shi et al.
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through…
Summary of Recurrent Stochastic Configuration Networks with Hybrid Regularization For Nonlinear Dynamics Modelling, by Gang Dang and Dianhui Wang
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modellingby Gang Dang, Dianhui WangFirst…