Summary of Mousesis: a Frames-and-events Dataset For Space-time Instance Segmentation Of Mice, by Friedhelm Hamann et al.
MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Miceby Friedhelm Hamann, Hanxiong Li, Paul…
Summary of Improving Uncertainty-error Correspondence in Deep Bayesian Medical Image Segmentation, by Prerak Mody et al.
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentationby Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay…
Summary of Massive Activations in Graph Neural Networks: Decoding Attention For Domain-dependent Interpretability, by Lorenzo Bini et al.
Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretabilityby Lorenzo Bini, Marco Sorbi,…
Summary of Meal-taking Activity Monitoring in the Elderly Based on Sensor Data: Comparison Of Unsupervised Classification Methods, by Abderrahim Derouiche (laas-s4m et al.
Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methodsby…
Summary of Sdooop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis, by Alexander Hartl et al.
SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysisby Alexander Hartl, Félix Iglesias…
Summary of Clue: Concept-level Uncertainty Estimation For Large Language Models, by Yu-hsiang Wang et al.
CLUE: Concept-Level Uncertainty Estimation for Large Language Modelsby Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, Cho-Jui…
Summary of Hallucination Detection in Llms: Fast and Memory-efficient Fine-tuned Models, by Gabriel Y. Arteaga et al.
Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Modelsby Gabriel Y. Arteaga, Thomas B. Schön,…
Summary of Numosim: a Synthetic Mobility Dataset with Anomaly Detection Benchmarks, by Chris Stanford et al.
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarksby Chris Stanford, Suman Adari, Xishun Liao,…
Summary of Mdnf: Multi-diffusion-nets For Neural Fields on Meshes, by Avigail Cohen Rimon et al.
MDNF: Multi-Diffusion-Nets for Neural Fields on Meshesby Avigail Cohen Rimon, Tal Shnitzer, Mirela Ben ChenFirst…
Summary of Can Your Generative Model Detect Out-of-distribution Covariate Shift?, by Christiaan Viviers and Amaan Valiuddin and Francisco Caetano and Lemar Abdi and Lena Filatova and Peter De with and Fons Van Der Sommen
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?by Christiaan Viviers, Amaan Valiuddin, Francisco Caetano, Lemar…