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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
AAAI 2026
Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective
AAAI 2026
Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance
AAAI 2026
Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction
AAAI 2026
MDBench: Benchmarking Data-Driven Methods for Model Discovery
AAAI 2026
Neural Tangent Kernels Under Stochastic Data Augmentation
AAAI 2026
FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding
AAAI 2026
A Theoretical Analysis of Detecting Large Model-Generated Time Series
AAAI 2026
An Information Theoretic Evaluation Metric for Strong Unlearning
AAAI 2026
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
AAAI 2026
Exploiting Space Folding by Neural Networks
AAAI 2026
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
AAAI 2026
HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems
AAAI 2026
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
AAAI 2026
Adaptive Riemannian Graph Neural Networks
AAAI 2026
Minimum-Length Conformal Prediction Sets for Ordinal Classification
AAAI 2026
Beyond Sharpness: The Role of Nonuniformity in Generalization
AAAI 2026
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
AAAI 2026
Probabilistic Safety Verification of Neural Policies via Predicate Abstraction
AAAI 2026
A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint)
AAAI 2026
Formal Verification of Neural ODE for Safety Evaluation in Autonomous Vehicles
AAAI 2026
No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding
AAAI 2026
Expressive Power of Graph Transformers via Logic
AAAI 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
AAAI 2026
Proof Systems That Tightly Characterise Model Counting Algorithms
AAAI 2026
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