Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Deep Learning
›
Optimization & Theory
›
Optimization
1638 directly classified papers
Papers per year
2006: 5
2007: 2
2008: 4
2009: 2
2010: 2
2011: 3
2012: 8
2013: 25
2014: 19
2015: 22
2016: 31
2017: 42
2018: 68
2019: 104
2020: 148
2021: 174
2022: 178
2023: 209
2024: 345
2025: 244
2026: 3
Papers
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
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
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
Best-k Search Algorithm for Neural Text Generation
ACL 2023
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research
ACL 2023
Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging
CVPR 2023
Contrastive Decoding: Open-ended Text Generation as Optimization
ACL 2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training
ACL 2023
Probability-Based Global Cross-Modal Upsampling for Pansharpening
CVPR 2023
<
1
…
29
30
31
…
66
>