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Optimization

1184 directly classified papers

Papers per year

Papers

Learning View Selection for 3D Scenes CVPR 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization CVPR 2021
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding AAAI 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery CVPR 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NIPS 2021
Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Differentiating the Value Function by using Convex Duality AISTATS 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021
Convergence Properties of Stochastic Hypergradients AISTATS 2021
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering AISTATS 2021
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021
Neural Architecture Search With Random Labels CVPR 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Rethinking BiSeNet for Real-Time Semantic Segmentation CVPR 2021
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature CVPR 2021
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract) AAAI 2021
A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network ICML 2021
Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021