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Deep Learning

113 directly classified papers

Papers per year

Papers

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NIPS 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization NIPS 2020
Deep Unfolding Network for Image Super-Resolution CVPR 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020
Local Deep Implicit Functions for 3D Shape CVPR 2020
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Neural Jump Stochastic Differential Equations NIPS 2019
Block Coordinate Regularization by Denoising NIPS 2019
Invert to Learn to Invert NIPS 2019
Deep Optimal Stopping JMLR 2019
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information AAAI 2019
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image CVPR 2019
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019
Self-Calibrating Deep Photometric Stereo Networks CVPR 2019
3D Hand Shape and Pose From Images in the Wild CVPR 2019
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors CVPR 2019
RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification INTERSPEECH 2019
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning CVPR 2018
Revisiting Deep Intrinsic Image Decompositions CVPR 2018