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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
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
NIPS 2024
Distributional Preference Alignment of LLMs via Optimal Transport
NIPS 2024
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
NIPS 2024
Dimension-free deterministic equivalents and scaling laws for random feature regression
NIPS 2024
Disentangled Representation Learning in Non-Markovian Causal Systems
NIPS 2024
Generalization Analysis for Label-Specific Representation Learning
NIPS 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners
NIPS 2024
A Polar coordinate system represents syntax in large language models
NIPS 2024
Self-Labeling the Job Shop Scheduling Problem
NIPS 2024
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
NIPS 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
NIPS 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners
NIPS 2024
Improving Gloss-free Sign Language Translation by Reducing Representation Density
NIPS 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
NIPS 2024
Temporal-Difference Learning Using Distributed Error Signals
NIPS 2024
Visual Pinwheel Centers Act as Geometric Saliency Detectors
NIPS 2024
Learning to Edit Visual Programs with Self-Supervision
NIPS 2024
Elliptical Attention
NIPS 2024
Diffusion Spectral Representation for Reinforcement Learning
NIPS 2024
Plant-and-Steal: Truthful Fair Allocations via Predictions
NIPS 2024
Semantics and Spatiality of Emergent Communication
NIPS 2024
The motion planning neural circuit in goal-directed navigation as Lie group operator search
NIPS 2024
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
NIPS 2024
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
NIPS 2024
Meta-Learning Universal Priors Using Non-Injective Change of Variables
NIPS 2024
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