Deep Learning

One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization Interspeech 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024 OVeNet: Offset Vector Network for Semantic Segmentation WACV 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation CVPR 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction NeurIPS 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NeurIPS 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 Pixel-Grounded Prototypical Part Networks WACV 2024 Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring IJCAI 2024 Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts CVPR 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 PressureVision++: Estimating Fingertip Pressure From Diverse RGB Images WACV 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024