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← Optimization & Theory
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Optimization & Theory
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Theory
1072 directly classified papers
Papers per year
2007: 1
2010: 4
2011: 1
2012: 3
2013: 4
2014: 5
2015: 2
2016: 11
2017: 31
2018: 47
2019: 67
2020: 97
2021: 128
2022: 225
2023: 155
2024: 209
2025: 81
2026: 1
Papers
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
WACV 2026
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
AAAI 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
Extracting and Understanding the Superficial Knowledge in Alignment
NAACL 2025
Activation Subspaces for Out-of-Distribution Detection
ICCV 2025
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
AAAI 2025
DRM Revisited: A Complete Error Analysis
JMLR 2025
Scaling Capability in Token Space: An Analysis of Large Vision Language Model
JMLR 2025
Global Convergence of Adjoint-Optimized Neural PDEs
JMLR 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them
COLING 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 2025
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective
ICCV 2025
Improving Rectified Flow with Boundary Conditions
ICCV 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
AAAI 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks
JMLR 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
JMLR 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
JMLR 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
JMLR 2025
Equivariant Manifold Neural ODEs and Differential Invariants
JMLR 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
JMLR 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
WACV 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
IJCAI 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
IJCAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
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