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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

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Papers (including subtopics)

The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence AISTATS 2021
Adaptive wavelet pooling for convolutional neural networks AISTATS 2021
Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021
Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo CVPR 2021
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search CVPR 2021
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021
Learning Optical Flow From a Few Matches CVPR 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021
Rich Features for Perceptual Quality Assessment of UGC Videos CVPR 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021
CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency CVPR 2021
Ranking Neural Checkpoints CVPR 2021
Inception Convolution With Efficient Dilation Search CVPR 2021
AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021