Showing 1–20 of 30 results
/ Date/ Name
Jun 13, 2020Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event TracesSep 5, 2020HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes ProcessDec 23, 2021Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text ClassificationJul 24, 2025Efficient Uncertainty in LLMs through Evidential Knowledge DistillationSep 22, 2025An Unlearning Framework for Continual LearningDec 12, 2020Delay Differential Neural NetworksNov 12, 2019Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler DivergenceDec 29, 2021Bayesian Neural Hawkes Process for Event Uncertainty PredictionDec 14, 2020Galaxy Morphology Classification using Neural Ordinary Differential EquationsAug 8, 2021Monte Carlo DropBlock for Modelling Uncertainty in Object DetectionJun 4, 2021Adiabatic Quantum Feature Selection for Sparse Linear RegressionJul 21, 2022Cosmic Ray Rejection with Attention Augmented Deep LearningOct 12, 2022DialoGen: Generalized Long-Range Context Representation for Dialogue SystemsOct 22, 2020Hawkes Process Classification through Discriminative Modeling of TextJul 17, 2021Subset-of-Data Variational Inference for Deep Gaussian-Processes RegressionDec 14, 2024Linked Adapters: Linking Past and Future to Present for Effective Continual LearningMar 6, 2021CAM-GAN: Continual Adaptation Modules for Generative Adversarial NetworksDec 23, 2021Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential EquationsDec 28, 2022Continuous Depth Recurrent Neural Differential EquationsDec 25, 2014Gaussian Process Pseudo-Likelihood Models for Sequence Labeling