Summary of Pretrained Visual Uncertainties, by Michael Kirchhof and Mark Collier and Seong Joon Oh and Enkelejda Kasneci
Pretrained Visual Uncertaintiesby Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda KasneciFirst submitted to arxiv…
Pretrained Visual Uncertaintiesby Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda KasneciFirst submitted to arxiv…
Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Trackingby Wen-Jia Tang, Xiao Liu, Peng…
Multi-Bit Distortion-Free Watermarking for Large Language Modelsby Massieh Kordi Boroujeny, Ya Jiang, Kai Zeng, Brian…
Deep Neural Network Initialization with Sparsity Inducing Activationsby Ilan Price, Nicholas Daultry Ball, Samuel C.H.…
Distribution-Free Fair Federated Learning with Small Samplesby Qichuan Yin, Zexian Wang, Junzhou Huang, Huaxiu Yao,…
How Can LLM Guide RL? A Value-Based Approachby Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan…
Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSimby Tomislav Maric, Mohammed Elwardi…
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate…
Active Level Set Estimation for Continuous Search Space with Theoretical Guaranteeby Giang Ngo, Dang Nguyen,…
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisitionby Dylan Cope, Peter McBurneyFirst submitted to…