← Optimization & Theory
Deep Learning › Optimization & Theory ›

Optimization

1638 directly classified papers

Papers per year

Papers

A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
Transformer-Based Learned Optimization CVPR 2023
Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
Moccasin: Efficient Tensor Rematerialization for Neural Networks ICML 2023
Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
Improved Distribution Matching for Dataset Condensation CVPR 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023
Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023
SGD with Large Step Sizes Learns Sparse Features ICML 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023
Tunable Convolutions With Parametric Multi-Loss Optimization CVPR 2023
Learning Fractals by Gradient Descent AAAI 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023
Accelerating the Training of Video Super-resolution Models AAAI 2023
CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network CVPR 2023
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion CVPR 2023
Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023
Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023