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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
Emergent Abilities in Reduced-Scale Generative Language Models
NAACL 2024
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base
NAACL 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks
NIPS 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
NIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware
NIPS 2024
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
AAAI 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
NIPS 2024
Déjà Vu Memorization in Vision–Language Models
NIPS 2024
Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation
IJCAI 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning
AAAI 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
NIPS 2024
Dense Associative Memory Through the Lens of Random Features
NIPS 2024
A Goal-Directed Dialogue System for Assistance in Safety-Critical Application
IJCAI 2024
Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis
AAAI 2024
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
ACL 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
ACL 2024
Clustering with Non-adaptive Subset Queries
NIPS 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
ACL 2024
Measuring Retrieval Complexity in Question Answering Systems
ACL 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
AAAI 2024
Meta-Evaluation of Sentence Simplification Metrics
COLING 2024
Evaluating the design space of diffusion-based generative models
NIPS 2024
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