Summary of Model Developmental Safety: a Retention-centric Method and Applications in Vision-language Models, by Gang Li et al.
Model Developmental Safety: A Retention-Centric Method and Applications in Vision-Language Modelsby Gang Li, Wendi Yu,…
Summary of Variational Language Concepts For Interpreting Foundation Language Models, by Hengyi Wang et al.
Variational Language Concepts for Interpreting Foundation Language Modelsby Hengyi Wang, Shiwei Tan, Zhiqing Hong, Desheng…
Summary of Decoding Game: on Minimax Optimality Of Heuristic Text Generation Strategies, by Sijin Chen et al.
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategiesby Sijin Chen, Omar Hagrass, Jason…
Summary of Measuring and Controlling Solution Degeneracy Across Task-trained Recurrent Neural Networks, by Ann Huang et al.
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networksby Ann Huang, Satpreet H. Singh,…
Summary of Efficient Training Of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions, By Jianxin Zhang et al.
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributionsby Jianxin Zhang, Josh…
Summary of Learning to Balance: Diverse Normalization For Cloth-changing Person Re-identification, by Hongjun Wang et al.
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identificationby Hongjun Wang, Jiyuan Chen, Zhengwei Yin,…
Summary of Robust Barycenter Estimation Using Semi-unbalanced Neural Optimal Transport, by Milena Gazdieva et al.
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transportby Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong…
Summary of Symmetry From Scratch: Group Equivariance As a Supervised Learning Task, by Haozhe Huang et al.
Symmetry From Scratch: Group Equivariance as a Supervised Learning Taskby Haozhe Huang, Leo Kaixuan Cheng,…
Summary of Optimizing Sparse Generalized Singular Vectors For Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection, by Ugochukwu O. Ugwu and Michael Kirby
Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application…
Summary of Fastlrnr and Sparse Physics Informed Backpropagation, by Woojin Cho et al.
FastLRNR and Sparse Physics Informed Backpropagationby Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit…