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← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Statistical Learning
4,076 papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
CVPR 2021
Metadata Normalization
CVPR 2021
Simpler Certified Radius Maximization by Propagating Covariances
CVPR 2021
Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition
CVPR 2021
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis
CVPR 2021
The Blessings of Unlabeled Background in Untrimmed Videos
CVPR 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
CVPR 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
Hilbert Sinkhorn Divergence for Optimal Transport
CVPR 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
CVPR 2021
Disambiguatory Signals are Stronger in Word-initial Positions
EACL 2021
How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation
EACL 2021
Towards More Fine-grained and Reliable NLP Performance Prediction
EACL 2021
Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation
EACL 2021
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
EACL 2021
Foreseeing the Benefits of Incidental Supervision
EMNLP 2021
You should evaluate your language model on marginal likelihood over tokenisations
EMNLP 2021
Data and Parameter Scaling Laws for Neural Machine Translation
EMNLP 2021
What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think
EMNLP 2021
SWEAT: Scoring Polarization of Topics across Different Corpora
EMNLP 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum
EMNLP 2021
Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output
EMNLP 2021
Negation-Instance Based Evaluation of End-to-End Negation Resolution
EMNLP 2021
Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings
EMNLP 2021
On the Stability of System Rankings at WMT
EMNLP 2021
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