Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
'15
'20
'25
Papers (including subtopics)
HydraNets: Specialized Dynamic Architectures for Efficient Inference
CVPR 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN
ACML 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks
NeurIPS 2018
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation
ACL 2018
Improving Neural Language Models with Weight Norm Initialization and Regularization
EMNLP 2018
Improving Optimization for Models With Continuous Symmetry Breaking
ICML 2018
Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models
Interspeech 2018
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
NeurIPS 2018
Interleaved Structured Sparse Convolutional Neural Networks
CVPR 2018
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
EMNLP 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
NeurIPS 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
EMNLP 2018
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
CVPR 2018
Joint Patch-Group Based Sparse Representation for Image Inpainting
ACML 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers
NeurIPS 2018
Knowledge Distillation by On-the-Fly Native Ensemble
NeurIPS 2018
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
ICLR 2018
L4: Practical loss-based stepsize adaptation for deep learning
NeurIPS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NeurIPS 2018
LDMNet: Low Dimensional Manifold Regularized Neural Networks
CVPR 2018
Learning Compact Neural Networks with Regularization
ICML 2018
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition
CVPR 2018
Learning Compressed Transforms with Low Displacement Rank
NeurIPS 2018
Learning Compressible 360° Video Isomers
CVPR 2018
“Learning-Compression” Algorithms for Neural Net Pruning
CVPR 2018