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Deep Learning

1752 directly classified papers

Papers per year

Papers

Improving Tandem Mass Spectra Analysis with Hierarchical Learning IJCAI 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities IJCAI 2020
Counterexample-Guided Learning of Monotonic Neural Networks NIPS 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NIPS 2020
Acoustic Scene Classification Using Audio Tagging INTERSPEECH 2020
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network INTERSPEECH 2020
Acoustic Scene Analysis with Multi-Head Attention Networks INTERSPEECH 2020
Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling INTERSPEECH 2020
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising WACV 2020
Distributed Iterative Gating Networks for Semantic Segmentation WACV 2020
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study WACV 2020
Fast Video Multi-Style Transfer WACV 2020
High-Frequency Refinement for Sharper Video Super-Resolution WACV 2020
PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color WACV 2020
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation WACV 2020
Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020
Deep Image Blending WACV 2020
Dynamic Motion Representation for Human Action Recognition WACV 2020
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020
Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020
Continuous Graph Neural Networks ICML 2020