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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
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
EACL 2026
Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients
WACV 2026
DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models
WACV 2026
Fast and Synchronous Crash Consistency with Metadata Write-Once File System
OSDI 2025
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
AAAI 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework
CVPR 2025
The Art of Deception: Color Visual Illusions and Diffusion Models
CVPR 2025
A Theory of Formalisms for Representing Knowledge
AAAI 2025
On Effects of Steering Latent Representation for Large Language Model Unlearning
AAAI 2025
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
CVPR 2025
Spiking Transformer with Spatial-Temporal Attention
CVPR 2025
VI^3NR: Variance Informed Initialization for Implicit Neural Representations
CVPR 2025
RedHerring Attack: Testing the Reliability of Attack Detection
EMNLP 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
MambaOut: Do We Really Need Mamba for Vision?
CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
AAAI 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
IJCAI 2025
Discursive Circuits: How Do Language Models Understand Discourse Relations?
EMNLP 2025
Toward Interpretable Time Series Modeling: A Kernel Representation Perspective
IJCAI 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
IJCAI 2025
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
EMNLP 2025
ThinkSLM: Towards Reasoning in Small Language Models
EMNLP 2025
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