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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Learning Theory
5312 directly classified papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
JMLR 2025
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
JMLR 2025
Stable learning using spiking neural networks equipped with affine encoders and decoders
JMLR 2025
Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search
WACV 2025
Invariant Shape Representation Learning for Image Classification
WACV 2025
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
COLING 2025
Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs
COLING 2025
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
NAACL 2025
Language Models Encode Numbers Using Digit Representations in Base 10
NAACL 2025
Analyzing the Inner Workings of Transformers in Compositional Generalization
NAACL 2025
A Novel Computational Modeling Foundation for Automatic Coherence Assessment
NAACL 2025
Probing Neural Network Generalization using Default Patterns
NAACL 2025
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
IJCAI 2025
High-Dimensional L2-Boosting: Rate of Convergence
JMLR 2025
Boosting Causal Additive Models
JMLR 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples
IJCAI 2025
On the Generalization of Feature Incremental Learning
IJCAI 2025
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
IJCAI 2025
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)
IJCAI 2025
On the Hardness of Training Deep Neural Networks Discretely
AAAI 2025
Scaling Laws for Multilingual Language Models
ACL 2025
User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs
ACL 2025
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
ACL 2025
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
ACL 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
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