Showing 1–20 of 59 results
/ Date/ Name
Jul 17, 2019Mitigating Uncertainty in Document ClassificationNov 20, 2019TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration PredictionSep 29, 2023Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural NetworkJul 3, 2024AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility PredictionMay 15, 2024A Comprehensive Survey on Data AugmentationOct 26, 2024Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language ModelsOct 18, 2023A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, ChallengeNov 3, 2025Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial AttacksFeb 27, 2020Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural NetworksDec 4, 2023Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical PricesOct 24, 2022LANS: Large-scale Arabic News Summarization CorpusJun 3, 2023TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationOct 16, 2020Semantic Editing On Segmentation Map Via Multi-Expansion LossNov 9, 2021Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility informationDec 26, 2021Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and EvaluationDec 5, 2017Learning to Fuse Music Genres with Generative Adversarial Dual LearningOct 2, 2017Online and Distributed Robust Regressions under Adversarial Data CorruptionOct 25, 2025SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised LearningJun 25, 2024Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?May 26, 2024Network Interdiction Goes Neural