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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
Finding Dataset Shortcuts with Grammar Induction
EMNLP 2022
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
EMNLP 2022
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations
EMNLP 2022
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
EMNLP 2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
EMNLP 2022
Predicting Fine-Tuning Performance with Probing
EMNLP 2022
A Few More Examples May Be Worth Billions of Parameters
EMNLP 2022
Transformer Language Models without Positional Encodings Still Learn Positional Information
EMNLP 2022
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction
EMNLP 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems
EMNLP 2022
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging
EMNLP 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation
EMNLP 2022
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
EMNLP 2022
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
EMNLP 2022
Data Cartography for Low-Resource Neural Machine Translation
EMNLP 2022
On reporting scores and agreement for error annotation tasks
EMNLP 2022
Extracting Operator Trees from Model Embeddings
EMNLP 2022
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
ICML 2022
Understanding the unstable convergence of gradient descent
ICML 2022
Towards Understanding Sharpness-Aware Minimization
ICML 2022
Asymptotically-Optimal Gaussian Bandits with Side Observations
ICML 2022
Congested Bandits: Optimal Routing via Short-term Resets
ICML 2022
H-Consistency Bounds for Surrogate Loss Minimizers
ICML 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
ICML 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
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