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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
Probing for Hyperbole in Pre-Trained Language Models
ACL 2023
Rethinking Document-Level Relation Extraction: A Reality Check
ACL 2023
Are Sample-Efficient NLP Models More Robust?
ACL 2023
Scaling Laws for BERT in Low-Resource Settings
ACL 2023
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
EACL 2023
Quantifying Context Mixing in Transformers
EACL 2023
BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks
EACL 2023
A Survey of MWE Identification Experiments: The Devil is in the Details
EACL 2023
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
EACL 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
NIPS 2023
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
EACL 2023
Learning to Generate Equitable Text in Dialogue from Biased Training Data
ACL 2023
Regret Guarantees for Online Deep Control
L4DC 2023
Best arm identification in rare events
UAI 2023
ReCode: Robustness Evaluation of Code Generation Models
ACL 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
ICML 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
ICML 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
ICML 2023
When is Realizability Sufficient for Off-Policy Reinforcement Learning?
ICML 2023
Quantifying Train-Evaluation Overlap with Nearest Neighbors
ACL 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
ICML 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
ICML 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
CVPR 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
ICML 2023
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