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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4,950 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
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
ICCV 2023
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
ICCV 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
ICCV 2023
Understanding Self-attention Mechanism via Dynamical System Perspective
ICCV 2023
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation
ICCV 2023
A Unified Framework for Robustness on Diverse Sampling Errors
ICCV 2023
Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences
ICCV 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
ICCV 2023
UHDNeRF: Ultra-High-Definition Neural Radiance Fields
ICCV 2023
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
ICCV 2023
Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models
ICCV 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
ICCV 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
ICML 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
ICML 2023
Second-order regression models exhibit progressive sharpening to the edge of stability
ICML 2023
Global optimality of Elman-type RNNs in the mean-field regime
ICML 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
ICML 2023
Towards credible visual model interpretation with path attribution
ICML 2023
Adversarially Robust PAC Learnability of Real-Valued Functions
ICML 2023
Explaining Reinforcement Learning with Shapley Values
ICML 2023
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
ICML 2023
Data-Copying in Generative Models: A Formal Framework
ICML 2023
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
ICML 2023
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits
ICML 2023
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