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← Core Methods
Machine Learning
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Core Methods
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Classification
15,289 papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
Top-$K$ ranking with a monotone adversary
COLT 2024
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract
COLT 2024
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT 2024
TpT-ADE: Transformer Based Two-Phase ADE Extraction
CONLL 2024
Revisiting Hierarchical Text Classification: Inference and Metrics
CONLL 2024
Explaining the Hardest Errors of Contextual Embedding Based Classifiers
CONLL 2024
One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective
CONLL 2024
Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network
CONLL 2024
Test-Time Linear Out-of-Distribution Detection
CVPR 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration
CVPR 2024
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
CVPR 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
CVPR 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
CVPR 2024
Object Recognition as Next Token Prediction
CVPR 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
CVPR 2024
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball
CVPR 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse
CVPR 2024
Learning with Structural Labels for Learning with Noisy Labels
CVPR 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
CVPR 2024
Revisiting Adversarial Training Under Long-Tailed Distributions
CVPR 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
CVPR 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
CVPR 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
CVPR 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
CVPR 2024
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