conftrace_
← Deep Learning
Deep Learning ›

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
847
998
'10
'15
'20
'25

Papers (including subtopics)

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers NIPS 2019
Splitting Steepest Descent for Growing Neural Architectures NIPS 2019
General E(2)-Equivariant Steerable CNNs NIPS 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Towards modular and programmable architecture search NIPS 2019
Superposition of many models into one NIPS 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NIPS 2019
Focused Quantization for Sparse CNNs NIPS 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NIPS 2019
Image Captioning: Transforming Objects into Words NIPS 2019
Channel Gating Neural Networks NIPS 2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NIPS 2019
Fast AutoAugment NIPS 2019
Efficient Forward Architecture Search NIPS 2019
Positional Normalization NIPS 2019
Riemannian batch normalization for SPD neural networks NIPS 2019
DATA: Differentiable ArchiTecture Approximation NIPS 2019
Fast Structured Decoding for Sequence Models NIPS 2019
Neural Networks with Cheap Differential Operators NIPS 2019
Backpropagation-Friendly Eigendecomposition NIPS 2019
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models NIPS 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision NIPS 2019
Lookahead Optimizer: k steps forward, 1 step back NIPS 2019
One-Shot Object Detection with Co-Attention and Co-Excitation NIPS 2019