deep learning

Deep Non-line-of-sight Imaging from Under-scanning Measurements NeurIPS 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 Deep Speech Synthesis from MRI-Based Articulatory Representations Interspeech 2023 Deep Variational Implicit Processes ICLR 2023 Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023 Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones NeurIPS 2023 Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning ICML 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 Diversity-Measurable Anomaly Detection CVPR 2023 DLKoopman: A deep learning software package for Koopman theory L4DC 2023 DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue MIDL 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 DynaMS: Dyanmic Margin Selection for Efficient Deep Learning ICLR 2023 Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI MIDL 2023 EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging CVPR 2023 End-to-End Argument Mining over Varying Rhetorical Structures ACL 2023 Enhancing Robot Program Synthesis Through Environmental Context NeurIPS 2023 Estimating Average Causal Effects from Patient Trajectories AAAI 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023 Exploring Discontinuity for Video Frame Interpolation CVPR 2023 Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation CVPR 2023 Exploring Temporal Frequency Spectrum in Deep Video Deblurring ICCV 2023 Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping ICLR 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023