Summary of Understanding and Improving Training-free Loss-based Diffusion Guidance, by Yifei Shen et al.
Understanding and Improving Training-free Loss-based Diffusion Guidanceby Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang,…
Summary of Flex: Joint Pose and Dynamic Radiance Fields Optimization For Stereo Endoscopic Videos, by Florian Philipp Stilz et al.
FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videosby Florian Philipp Stilz,…
Summary of Efficient Transformer-based Hyper-parameter Optimization For Resource-constrained Iot Environments, by Ibrahim Shaer et al.
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environmentsby Ibrahim Shaer, Soodeh Nikan, Abdallah ShamiFirst submitted…
Summary of Improving Generalization Via Meta-learning on Hard Samples, by Nishant Jain et al.
Improving Generalization via Meta-Learning on Hard Samplesby Nishant Jain, Arun S. Suggala, Pradeep ShenoyFirst submitted…
Summary of Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates, by Riccardo Grazzi et al.
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Ratesby Riccardo Grazzi, Massimiliano Pontil, Saverio SalzoFirst submitted…
Summary of Path-gptomic: a Balanced Multi-modal Learning Framework For Survival Outcome Prediction, by Hongxiao Wang et al.
Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Predictionby Hongxiao Wang, Yang Yang, Zhuo…
Summary of Dreamsampler: Unifying Diffusion Sampling and Score Distillation For Image Manipulation, by Jeongsol Kim et al.
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulationby Jeongsol Kim, Geon Yeong Park,…
Summary of Uncertainty-calibrated Test-time Model Adaptation Without Forgetting, by Mingkui Tan et al.
Uncertainty-Calibrated Test-Time Model Adaptation without Forgettingby Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo…
Summary of A Learning-based Solution Approach to the Application Placement Problem in Mobile Edge Computing Under Uncertainty, by Taha-hossein Hejazi et al.
A learning-based solution approach to the application placement problem in mobile edge computing under uncertaintyby…
Summary of Phasic Diversity Optimization For Population-based Reinforcement Learning, by Jingcheng Jiang et al.
Phasic Diversity Optimization for Population-Based Reinforcement Learningby Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao,…