Summary of Average-over-time Spiking Neural Networks For Uncertainty Estimation in Regression, by Tao Sun et al.
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regressionby Tao Sun, Sander BohtéFirst submitted to…
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regressionby Tao Sun, Sander BohtéFirst submitted to…
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphsby Jingzhe Liu,…
T-3DGS: Removing Transient Objects for 3D Scene Reconstructionby Alexander Markin, Vadim Pryadilshchikov, Artem Komarichev, Ruslan…
Speculative Decoding with CTC-based Draft Model for LLM Inference Accelerationby Zhuofan Wen, Shangtong Gui, Yang…
Visual Error Patterns in Multi-Modal AI: A Statistical Approachby Ching-Yi WangFirst submitted to arxiv on:…
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Predictionby Leila Gheisi, Henry Chu, Raju…
Towards Class-wise Robustness Analysisby Tejaswini Medi, Julia Grabinski, Margret KeuperFirst submitted to arxiv on: 29…
Enhancing Sentiment Analysis in Bengali Texts: A Hybrid Approach Using Lexicon-Based Algorithm and Pretrained Language…
FairDD: Fair Dataset Distillation via Synchronized Matchingby Qihang Zhou, Shenhao Fang, Shibo He, Wenchao Meng,…
Learned Random Label Predictions as a Neural Network Complexity Metricby Marlon Becker, Benjamin RisseFirst submitted…