Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
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
Set-Valued Sensitivity Analysis of Deep Neural Networks
AAAI 2025
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
AAAI 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch
AAAI 2025
Certified Causal Defense with Generalizable Robustness
AAAI 2025
Things Machine Learning Models Know That They Don’t Know
AAAI 2025
Statistical inference on black-box generative models in the data kernel perspective space
ACL 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
AAAI 2025
Structured IB: Improving Information Bottleneck with Structured Feature Learning
AAAI 2025
On Action Theories with Iterable First-Order Progression
AAAI 2025
SPACETIME: Causal Discovery from Non-Stationary Time Series
AAAI 2025
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
AAAI 2025
A Theory of Formalisms for Representing Knowledge
AAAI 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
The Art of Deception: Color Visual Illusions and Diffusion Models
CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework
CVPR 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
IJCAI 2025
Towards the Law of Capacity Gap in Distilling Language Models
ACL 2025
Learning Deep Dissipative Dynamics
AAAI 2025
On Local Overfitting and Forgetting in Deep Neural Networks
AAAI 2025
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
AAAI 2025
Expressive Power of Temporal Message Passing
AAAI 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
AAAI 2025
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
IJCAI 2025
On Effects of Steering Latent Representation for Large Language Model Unlearning
AAAI 2025
<
1
…
7
8
9
…
198
>