Summary of Maple: a Framework For Active Preference Learning Guided by Large Language Models, By Saaduddin Mahmud et al.
MAPLE: A Framework for Active Preference Learning Guided by Large Language Modelsby Saaduddin Mahmud, Mason…
Summary of Taylor Outlier Exposure, by Kohei Fukuda et al.
Taylor Outlier Exposureby Kohei Fukuda, Hiroaki AizawaFirst submitted to arxiv on: 10 Dec 2024CategoriesMain: Computer…
Summary of Parseval Regularization For Continual Reinforcement Learning, by Wesley Chung et al.
Parseval Regularization for Continual Reinforcement Learningby Wesley Chung, Lynn Cherif, David Meger, Doina PrecupFirst submitted…
Summary of Moderating the Generalization Of Score-based Generative Model, by Wan Jiang et al.
Moderating the Generalization of Score-based Generative Modelby Wan Jiang, He Wang, Xin Zhang, Dan Guo,…
Summary of Optimization Can Learn Johnson Lindenstrauss Embeddings, by Nikos Tsikouras et al.
Optimization Can Learn Johnson Lindenstrauss Embeddingsby Nikos Tsikouras, Constantine Caramanis, Christos TzamosFirst submitted to arxiv…
Summary of A Dynamical Systems-inspired Pruning Strategy For Addressing Oversmoothing in Graph Neural Networks, by Biswadeep Chakraborty et al.
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networksby Biswadeep Chakraborty, Harshit…
Summary of Developing a Dataset-adaptive, Normalized Metric For Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance, by Serzhan Ossenov
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class…
Summary of Buster: Implanting Semantic Backdoor Into Text Encoder to Mitigate Nsfw Content Generation, by Xin Zhao et al.
Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generationby Xin Zhao, Xiaojun…
Summary of Modeling High-resolution Spatio-temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations, by Kesen Wang et al.
Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equationsby Kesen…
Summary of Ptsbench: a Comprehensive Post-training Sparsity Benchmark Towards Algorithms and Models, by Zining Wnag et al.
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Modelsby Zining Wnag, Jinyang Guo, Ruihao…