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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
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
NIPS 2024
Implicit Optimization Bias of Next-token Prediction in Linear Models
NIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NIPS 2024
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
NIPS 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
NIPS 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
NIPS 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
NIPS 2024
Multi-Instance Partial-Label Learning with Margin Adjustment
NIPS 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NIPS 2024
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
NIPS 2024
On Softmax Direct Preference Optimization for Recommendation
NIPS 2024
Non-parametric classification via expand-and-sparsify representation
NIPS 2024
Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading
NIPS 2024
Towards Human-AI Complementarity with Prediction Sets
NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
NIPS 2024
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
NIPS 2024
Interpretable Mesomorphic Networks for Tabular Data
NIPS 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NIPS 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
NIPS 2024
Contextual Multinomial Logit Bandits with General Value Functions
NIPS 2024
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
NIPS 2024
Improving robustness to corruptions with multiplicative weight perturbations
NIPS 2024
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
NIPS 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
NIPS 2024
AUC Maximization under Positive Distribution Shift
NIPS 2024
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