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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
Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks
AAAI 2026
OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework
AAAI 2026
Two Constraint Compilation Methods for Lifted Planning
AAAI 2026
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
AAAI 2026
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
AAAI 2026
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
AAAI 2026
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds
AAAI 2026
Deeply Seeking Boundary for Lunar Regolith Segmentation
AAAI 2026
Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain
AAAI 2026
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
AAAI 2026
Expressive Temporal Specifications for Reward Monitoring
AAAI 2026
Provably Data-Driven Projection Method for Quadratic Programming
AAAI 2026
Causal Explanations for Sequential Decision Making (Abstract Reprint)
AAAI 2026
Proof Systems for Tensor-based Model Counting
AAAI 2026
Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond
AAAI 2026
Ordinal Secretaries with Advice
AAAI 2026
Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective
AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
AAAI 2026
Model Counting for Dependency Quantified Boolean Formulas
AAAI 2026
Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence
AAAI 2026
Experimentation on Endogenous Graphs
AAAI 2026
Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction
AAAI 2026
Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
AAAI 2026
3DDM: Physically-based Anisotropic 3D Diffusion Model with 3D Gaussian for Point Cloud Completion
AAAI 2026
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
WACV 2026
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