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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
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task
SEMEVAL 2021
RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction
SEMEVAL 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
NIPS 2021
Bayesian Nonparametric Space Partitions: A Survey
IJCAI 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
CVPR 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates
NIPS 2021
On Universal Approximation and Error Bounds for Fourier Neural Operators
JMLR 2021
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense
SEMEVAL 2021
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
NIPS 2021
Locally private online change point detection
NIPS 2021
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract)
AAAI 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
NIPS 2021
Error-Sensitive Evaluation for Ordinal Target Variables
EMNLP 2021
Bipartite Matching for Crowd Counting with Point Supervision
IJCAI 2021
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
ACL 2021
Graph Mixture Density Networks
ICML 2021
ANDI at SemEval-2021 Task 1: Predicting complexity in context using distributional models, behavioural norms, and lexical resources
IJCNLP 2021
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings
ACL 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
ICML 2021
CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features
ACL 2021
Social-DPF: Socially Acceptable Distribution Prediction of Futures
AAAI 2021
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
NIPS 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
NIPS 2021
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting
ICCV 2021
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
ACL 2021
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