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← Core Methods
Machine Learning
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Core Methods
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Regression
4,964 papers
Papers per year
2000: 1
2001: 4
2002: 2
2003: 3
2004: 2
2005: 7
2006: 27
2007: 38
2008: 49
2009: 58
2010: 72
2011: 62
2012: 74
2013: 122
2014: 120
2015: 146
2016: 232
2017: 276
2018: 313
2019: 414
2020: 509
2021: 564
2022: 506
2023: 492
2024: 488
2025: 262
2026: 121
Papers
Exposure Normalization and Compensation for Multiple-Exposure Correction
CVPR 2022
Structure-Aware Flow Generation for Human Body Reshaping
CVPR 2022
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal
EMNLP 2022
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
EMNLP 2022
Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression
EMNLP 2022
Predicting Long-Term Citations from Short-Term Linguistic Influence
EMNLP 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
EMNLP 2022
PromptShots at the FinNLP-2022 ERAI Task: Pairwise Comparison and Unsupervised Ranking
EMNLP 2022
UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining
EMNLP 2022
aiML at the FinNLP-2022 ERAI Task: Combining Classification and Regression Tasks for Financial Opinion Mining
EMNLP 2022
Yet at the FinNLP-2022 ERAI Task: Modified models for evaluating the Rationales of Amateur Investors
EMNLP 2022
A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts
EMNLP 2022
Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task
EMNLP 2022
Welocalize-ARC/NKUA’s Submission to the WMT 2022 Quality Estimation Shared Task
EMNLP 2022
Learning Continuous Environment Fields via Implicit Functions
ICLR 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
ICML 2022
RUMs from Head-to-Head Contests
ICML 2022
Public Data-Assisted Mirror Descent for Private Model Training
ICML 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
ICML 2022
Thresholded Lasso Bandit
ICML 2022
Near-optimal rate of consistency for linear models with missing values
ICML 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning
ICML 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
ICML 2022
Scalable Spike-and-Slab
ICML 2022
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