Summary of Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks, by Junhe Zhang et al.
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Can foundation models actively gather information in interactive environments to test hypotheses?by Nan Rosemary Ke,…
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Designby Marco…
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in…
Gated Delta Networks: Improving Mamba2 with Delta Ruleby Songlin Yang, Jan Kautz, Ali HatamizadehFirst submitted…
Food for thought: How can machine learning help better predict and understand changes in food…
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentationby Fei Wu, Pablo Marquez-Neila,…
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decodingby Yixiong Fang,…
An inferential measure of dependence between two systems using Bayesian model comparisonby Guillaume Marrelec, Alain…
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimationby Catalin E. Brita, Stephan…