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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

4
30
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Papers (including subtopics)

PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data AAAI 2019
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes AAAI 2019
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches AAAI 2019
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion AAAI 2019
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise AAAI 2019
Utilizing Class Information for Deep Network Representation Shaping AAAI 2019
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes AAAI 2019
Explainable Recommendation through Attentive Multi-View Learning AAAI 2019
AFS: An Attention-Based Mechanism for Supervised Feature Selection AAAI 2019
MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019
Smooth Deep Image Generator from Noises AAAI 2019
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019
Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019
Gaussian-Induced Convolution for Graphs AAAI 2019
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks AAAI 2019
Guided Dropout AAAI 2019
CircConv: A Structured Convolution with Low Complexity AAAI 2019
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019
GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019
Super Sparse Convolutional Neural Networks AAAI 2019
Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019
Composite Binary Decomposition Networks AAAI 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019