Summary of Image-caption Encoding For Improving Zero-shot Generalization, by Eric Yang Yu et al.
Image-Caption Encoding for Improving Zero-Shot Generalizationby Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis,…
Summary of Classification Of Tennis Actions Using Deep Learning, by Emil Hovad (1 and 2) et al.
Classification of Tennis Actions Using Deep Learningby Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder ClemmensenFirst…
Summary of Spatio-temporal Prompting Network For Robust Video Feature Extraction, by Guanxiong Sun et al.
Spatio-temporal Prompting Network for Robust Video Feature Extractionby Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang…
Summary of On the Role Of Initialization on the Implicit Bias in Deep Linear Networks, by Oria Gruber et al.
On the Role of Initialization on the Implicit Bias in Deep Linear Networksby Oria Gruber,…
Summary of Timer: Generative Pre-trained Transformers Are Large Time Series Models, by Yong Liu et al.
Timer: Generative Pre-trained Transformers Are Large Time Series Modelsby Yong Liu, Haoran Zhang, Chenyu Li,…
Summary of Towards An Information Theoretic Framework Of Context-based Offline Meta-reinforcement Learning, by Lanqing Li et al.
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learningby Lanqing Li, Hai Zhang, Xinyu…
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…
Summary of Arithmetic Feature Interaction Is Necessary For Deep Tabular Learning, by Yi Cheng et al.
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learningby Yi Cheng, Renjun Hu, Haochao Ying,…
Summary of Symbol: Generating Flexible Black-box Optimizers Through Symbolic Equation Learning, by Jiacheng Chen et al.
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learningby Jiacheng Chen, Zeyuan Ma, Hongshu Guo,…
Summary of Future Directions in the Theory Of Graph Machine Learning, by Christopher Morris et al.
Future Directions in the Theory of Graph Machine Learningby Christopher Morris, Fabrizio Frasca, Nadav Dym,…