Summary of Task Attribute Distance For Few-shot Learning: Theoretical Analysis and Applications, by Minyang Hu et al.
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applicationsby Minyang Hu, Hong Chang, Zong…
Summary of Dpot: Auto-regressive Denoising Operator Transformer For Large-scale Pde Pre-training, by Zhongkai Hao et al.
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Trainingby Zhongkai Hao, Chang Su, Songming Liu,…
Summary of Efficient Algorithms For Empirical Group Distributionally Robust Optimization and Beyond, by Dingzhi Yu et al.
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyondby Dingzhi Yu, Yunuo Cai, Wei…
Summary of Active Statistical Inference, by Tijana Zrnic et al.
Active Statistical Inferenceby Tijana Zrnic, Emmanuel J. CandèsFirst submitted to arxiv on: 5 Mar 2024CategoriesMain:…
Summary of The Wmdp Benchmark: Measuring and Reducing Malicious Use with Unlearning, by Nathaniel Li et al.
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearningby Nathaniel Li, Alexander Pan, Anjali…
Summary of Lc-tsallis-inf: Generalized Best-of-both-worlds Linear Contextual Bandits, by Masahiro Kato and Shinji Ito
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Banditsby Masahiro Kato, Shinji ItoFirst submitted to arxiv on: 5…
Summary of Knowledge-guided Eeg Representation Learning, by Aditya Kommineni et al.
Knowledge-guided EEG Representation Learningby Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth NarayananFirst submitted to arxiv…
Summary of From Displacements to Distributions: a Machine-learning Enabled Framework For Quantifying Uncertainties in Parameters Of Computational Models, by Taylor Roper and Harri Hakula and Troy Butler
From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational…
Summary of Dinov2 Based Self Supervised Learning For Few Shot Medical Image Segmentation, by Lev Ayzenberg et al.
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentationby Lev Ayzenberg, Raja Giryes,…
Summary of Exact Enforcement Of Temporal Continuity in Sequential Physics-informed Neural Networks, by Pratanu Roy and Stephen Castonguay
Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networksby Pratanu Roy, Stephen CastonguayFirst submitted…