Showing 1–20 of 25 results
/ Date/ Name
Sep 13, 2021Robust Contrastive Active Learning with Feature-guided Query StrategiesAug 24, 2022A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN ComputingDec 13, 2024CONCLAD: COntinuous Novel CLAss DetectorDec 8, 2020Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of FeaturesMay 7, 2021Energy-Based Anomaly Detection and LocalizationMay 22, 2019Real-time Approximate Bayesian Computation for Scene UnderstandingDec 3, 2019Deep Probabilistic Models to Detect Data Poisoning AttacksDec 12, 2024CUAL: Continual Uncertainty-aware Active LearnerNov 23, 2022FRE: A Fast Method For Anomaly Detection And SegmentationSep 25, 2019Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial DetectionMar 20, 2022Subspace Modeling for Fast Out-Of-Distribution and Anomaly DetectionNov 9, 2025MoRA: Missing Modality Low-Rank Adaptation for Visual RecognitionSep 3, 2025ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient ReconstructionJan 27, 2025INRet: A General Framework for Accurate Retrieval of INRs for ShapesDec 18, 2019Tree pyramidal adaptive importance samplingSep 13, 2021Mitigating Sampling Bias and Improving Robustness in Active LearningMay 26, 2023Rate-Distortion Theory in Coding for Machines and its ApplicationFeb 16, 2022Anomalib: A Deep Learning Library for Anomaly DetectionDec 21, 2024Uncertainty Quantification in Continual Open-World LearningFeb 21, 2025TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress