Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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453
859
1,652
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5,368
6,434
7,726
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Papers (including subtopics)
Spherical CNNs on Unstructured Grids
ICLR 2019
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
CVPR 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
CVPR 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NeurIPS 2019
SPIGAN: Privileged Adversarial Learning from Simulation
ICLR 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
NeurIPS 2019
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks
ICCV 2019
Splitting Steepest Descent for Growing Neural Architectures
NeurIPS 2019
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
CVPR 2019
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA
ACML 2019
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification
CVPR 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
CVPR 2019
Spreading vectors for similarity search
ICLR 2019
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes
JMLR 2019
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction
CVPR 2019
SRM: A Style-Based Recalibration Module for Convolutional Neural Networks
ICCV 2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
ICCV 2019
SSN: Learning Sparse Switchable Normalization via SparsestMax
CVPR 2019
SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network
SemEval 2019
SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches
SemEval 2019
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data
SemEval 2019
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
NeurIPS 2019
Stability of Graph Scattering Transforms
NeurIPS 2019
Stable Recurrent Models
ICLR 2019
Stacked Capsule Autoencoders
NeurIPS 2019