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Methodology
← Core Methods
Machine Learning
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Core Methods
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Feature Learning
817 directly classified papers
Papers per year
2001: 1
2003: 3
2005: 2
2006: 15
2007: 12
2008: 18
2009: 6
2010: 16
2011: 20
2012: 32
2013: 76
2014: 34
2015: 23
2016: 34
2017: 47
2018: 31
2019: 46
2020: 57
2021: 43
2022: 58
2023: 70
2024: 93
2025: 79
2026: 1
Papers
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
AAAI 2023
Isometric Manifold Learning Using Hierarchical Flow
AAAI 2023
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining
AAAI 2023
SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition
INTERSPEECH 2023
Learning Second-Order Attentive Context for Efficient Correspondence Pruning
AAAI 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
AISTATS 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
ICML 2023
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
AAAI 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
ICML 2023
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
ICML 2023
Shapley Based Residual Decomposition for Instance Analysis
ICML 2023
Feature Programming for Multivariate Time Series Prediction
ICML 2023
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
ICML 2023
Shape Analysis of Euclidean Curves under Frenet-Serret Framework
ICCV 2023
Auditory Attention Detection in Real-Life Scenarios Using Common Spatial Patterns from EEG
INTERSPEECH 2023
Exploring the Interactions Between Target Positive and Negative Information for Acoustic Echo Cancellation
INTERSPEECH 2023
Improved Robust Algorithms for Learning with Discriminative Feature Feedback
AISTATS 2023
Polyhedron Attention Module: Learning Adaptive-order Interactions
NIPS 2023
FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization
INTERSPEECH 2023
Learning to Binarize Continuous Features for Neuro-Rule Networks
IJCAI 2023
Mining Effective Features Using Quantum Entropy for Humor Recognition
EACL 2023
Improved Distribution Matching for Dataset Condensation
CVPR 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
CVPR 2023
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations
CVPR 2023
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