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)
Skip-Convolutions for Efficient Video Processing
CVPR 2021
Slimmable Generative Adversarial Networks
AAAI 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
ICML 2021
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
NeurIPS 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
NeurIPS 2021
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
NeurIPS 2021
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large
EMNLP 2021
SOFT: Softmax-free Transformer with Linear Complexity
NeurIPS 2021
Space-Time Distillation for Video Super-Resolution
CVPR 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
ICML 2021
Sparse Attention with Linear Units
EMNLP 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NeurIPS 2021
Sparse Flows: Pruning Continuous-depth Models
NeurIPS 2021
Sparse linear networks with a fixed butterfly structure: theory and practice
UAI 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
NeurIPS 2021
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
EMNLP 2021
Sparsity Aware Normalization for GANs
AAAI 2021
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
CVPR 2021
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
ICML 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
AISTATS 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis
EMNLP 2021
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
ICML 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
NeurIPS 2021
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
ICCV 2021
Stateful ODE-Nets using Basis Function Expansions
NeurIPS 2021