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Methodology
← Core Methods
Machine Learning
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Core Methods
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Regression
4964 directly classified 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
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
CVPR 2017
Detecting Masked Faces in the Wild With LLE-CNNs
CVPR 2017
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry
CVPR 2017
Subspace Clustering via Variance Regularized Ridge Regression
CVPR 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
CVPR 2017
Using Ranking-CNN for Age Estimation
CVPR 2017
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields
CVPR 2017
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences
CVPR 2017
Low-Rank-Sparse Subspace Representation for Robust Regression
CVPR 2017
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
SEMEVAL 2017
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
SEMEVAL 2017
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
SEMEVAL 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
SEMEVAL 2017
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines
SEMEVAL 2017
ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain
SEMEVAL 2017
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text
SEMEVAL 2017
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
SEMEVAL 2017
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor
SEMEVAL 2017
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
EACL 2017
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
IJCNLP 2017
Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases
IJCNLP 2017
Value-Aware Loss Function for Model-based Reinforcement Learning
AISTATS 2017
ConvNets with Smooth Adaptive Activation Functions for Regression
AISTATS 2017
Minimax-optimal semi-supervised regression on unknown manifolds
AISTATS 2017
Rank Determination for Low-Rank Data Completion
JMLR 2017
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