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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
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NIPS 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
NIPS 2024
BOLD: Boolean Logic Deep Learning
NIPS 2024
Facilitating Multimodal Classification via Dynamically Learning Modality Gap
NIPS 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
NIPS 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NIPS 2024
LaSCal: Label-Shift Calibration without target labels
NIPS 2024
Neural Collapse To Multiple Centers For Imbalanced Data
NIPS 2024
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
NIPS 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
NIPS 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NIPS 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
NIPS 2024
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
NIPS 2024
Optimal Classification under Performative Distribution Shift
NIPS 2024
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
NIPS 2024
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
NIPS 2024
Revisiting Ensembling in One-Shot Federated Learning
NIPS 2024
Instruction Tuning With Loss Over Instructions
NIPS 2024
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition
NIPS 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
NIPS 2024
Building a stable classifier with the inflated argmax
NIPS 2024
Predicting Label Distribution from Ternary Labels
NIPS 2024
Active preference learning for ordering items in- and out-of-sample
NIPS 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
NIPS 2024
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data
NIPS 2024
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