Summary of Uncertainty-aware Testing-time Optimization For 3d Human Pose Estimation, by Ti Wang et al.
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimationby Ti Wang, Mengyuan Liu, Hong Liu, Bin…
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimationby Ti Wang, Mengyuan Liu, Hong Liu, Bin…
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learningby Yi Cheng, Renjun Hu, Haochao Ying,…
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parametersby Arsalan Sharifnassab, Saber Salehkaleybar, Richard…
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learningby Li Ren,…
Stereographic Spherical Sliced Wasserstein Distancesby Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu,…
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Modelsby Fangzhao Zhang, Mert PilanciFirst submitted to arxiv on:…
A Paradigm for Potential Model Performance Improvement in Classification and Regression Problems. A Proof of…
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learningby Jiacheng Chen, Zeyuan Ma, Hongshu Guo,…
Multi-modal Causal Structure Learning and Root Cause Analysisby Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng…
Pruner: A Speculative Exploration Mechanism to Accelerate Tensor Program Tuningby Liang Qiao, Jun Shi, Xiaoyu…