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← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18,863 papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
End-to-end Learnable Clustering for Intent Learning in Recommendation
NIPS 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NIPS 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
NIPS 2024
Supervised Kernel Thinning
NIPS 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
NIPS 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
NIPS 2024
UrbanDataLayer: A Unified Data Pipeline for Urban Science
NIPS 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
NIPS 2024
Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
NIPS 2024
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
NIPS 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NIPS 2024
Reproducibility of predictive networks for mouse visual cortex
NIPS 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
NIPS 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
NIPS 2024
How Does Message Passing Improve Collaborative Filtering?
NIPS 2024
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
NIPS 2024
LoFiT: Localized Fine-tuning on LLM Representations
NIPS 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
NIPS 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
NIPS 2024
Marginal Causal Flows for Validation and Inference
NIPS 2024
Semantic Routing via Autoregressive Modeling
NIPS 2024
Score-based 3D molecule generation with neural fields
NIPS 2024
On Sparse Canonical Correlation Analysis
NIPS 2024
Conditioning non-linear and infinite-dimensional diffusion processes
NIPS 2024
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
NIPS 2024
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