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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
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
NIPS 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NIPS 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
NIPS 2024
Efficient Temporal Action Segmentation via Boundary-aware Query Voting
NIPS 2024
Soft ascent-descent as a stable and flexible alternative to flooding
NIPS 2024
When is Multicalibration Post-Processing Necessary?
NIPS 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
NIPS 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
NIPS 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NIPS 2024
HGDL: Heterogeneous Graph Label Distribution Learning
NIPS 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NIPS 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NIPS 2024
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
NIPS 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses
NIPS 2024
General Detection-based Text Line Recognition
NIPS 2024
Improved Sample Complexity for Multiclass PAC Learning
NIPS 2024
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
NIPS 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
NIPS 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NIPS 2024
MALT Powers Up Adversarial Attacks
NIPS 2024
DOFEN: Deep Oblivious Forest ENsemble
NIPS 2024
Referring Human Pose and Mask Estimation In the Wild
NIPS 2024
Reliable Learning of Halfspaces under Gaussian Marginals
NIPS 2024
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
NIPS 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NIPS 2024
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