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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Epsilon Best Arm Identification in Spectral Bandits
IJCAI 2021
Fine-grained Generalization Analysis of Structured Output Prediction
IJCAI 2021
Stability and Generalization for Randomized Coordinate Descent
IJCAI 2021
Understanding the Effect of Bias in Deep Anomaly Detection
IJCAI 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
IJCAI 2021
On the Parameterized Complexity of Polytree Learning
IJCAI 2021
A Comparative Survey: Benchmarking for Pool-based Active Learning
IJCAI 2021
On the Learnability of Knowledge in Multi-Agent Logics
IJCAI 2021
Examining the Inductive Bias of Neural Language Models with Artificial Languages
IJCNLP 2021
Do Context-Aware Translation Models Pay the Right Attention?
IJCNLP 2021
What Context Features Can Transformer Language Models Use?
IJCNLP 2021
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
IJCNLP 2021
Meta-Learning to Compositionally Generalize
IJCNLP 2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction
IJCNLP 2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
IJCNLP 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
IJCNLP 2021
Improving Compositional Generalization in Classification Tasks via Structure Annotations
IJCNLP 2021
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications
IJCNLP 2021
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena
IJCNLP 2021
Mode recovery in neural autoregressive sequence modeling
IJCNLP 2021
Domain Generalization by Marginal Transfer Learning
JMLR 2021
Regulating Greed Over Time in Multi-Armed Bandits
JMLR 2021
Simple and Fast Algorithms for Interactive Machine Learning with Random Counter-examples
JMLR 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
JMLR 2021
Predictive Learning on Hidden Tree-Structured Ising Models
JMLR 2021
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