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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Learning Theory
5,312 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
Fine-grained Generalization Analysis of Vector-Valued Learning
AAAI 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
AAAI 2021
Sample Efficient Reinforcement Learning with REINFORCE
AAAI 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning
AAAI 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
AAAI 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Robust Contextual Bandits via Bootstrapping
AAAI 2021
Generalization in Portfolio-Based Algorithm Selection
AAAI 2021
Escaping Local Optima with Non-Elitist Evolutionary Algorithms
AAAI 2021
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation
AAAI 2021
Simpson's Bias in NLP Training
AAAI 2021
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
AAAI 2021
Passive learning of Timed Automata from logs (Student Abstract)
AAAI 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract)
AAAI 2021
Examining the Inductive Bias of Neural Language Models with Artificial Languages
ACL 2021
Learning Faithful Representations of Causal Graphs
ACL 2021
When Do You Need Billions of Words of Pretraining Data?
ACL 2021
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
ACL 2021
Comparing Test Sets with Item Response Theory
ACL 2021
The Limitations of Limited Context for Constituency Parsing
ACL 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
ACL 2021
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
ACL 2021
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
ACL 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
ACL 2021
What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus
ACL 2021
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