Summary of Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis, by Basile Van Hoorick et al.
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesisby Basile Van Hoorick, Rundi Wu, Ege…
Summary of Wise: Rethinking the Knowledge Memory For Lifelong Model Editing Of Large Language Models, by Peng Wang et al.
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Modelsby Peng Wang,…
Summary of Efficiency For Free: Ideal Data Are Transportable Representations, by Peng Sun et al.
Efficiency for Free: Ideal Data Are Transportable Representationsby Peng Sun, Yi Jiang, Tao LinFirst submitted…
Summary of Generalization Of Hamiltonian Algorithms, by Andreas Maurer
Generalization of Hamiltonian algorithmsby Andreas MaurerFirst submitted to arxiv on: 23 May 2024CategoriesMain: Machine Learning…
Summary of Ropinn: Region Optimized Physics-informed Neural Networks, by Haixu Wu et al.
RoPINN: Region Optimized Physics-Informed Neural Networksby Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng…
Summary of Agent Planning with World Knowledge Model, by Shuofei Qiao et al.
Agent Planning with World Knowledge Modelby Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang…
Summary of Understanding the Training and Generalization Of Pretrained Transformer For Sequential Decision Making, by Hanzhao Wang et al.
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Makingby Hanzhao Wang, Yu…
Summary of Improving Generalization Of Deep Neural Networks by Optimum Shifting, By Yuyan Zhou et al.
Improving Generalization of Deep Neural Networks by Optimum Shiftingby Yuyan Zhou, Ye Li, Lei Feng,…
Summary of Text-to-model: Text-conditioned Neural Network Diffusion For Train-once-for-all Personalization, by Zexi Li et al.
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalizationby Zexi Li, Lingzhi Gao, Chao WuFirst submitted…
Summary of Peac: Unsupervised Pre-training For Cross-embodiment Reinforcement Learning, by Chengyang Ying et al.
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learningby Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu,…