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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
Navigating Chemical Space with Latent Flows
NIPS 2024
Self-Guided Masked Autoencoder
NIPS 2024
OPEL: Optimal Transport Guided ProcedurE Learning
NIPS 2024
Localizing Memorization in SSL Vision Encoders
NIPS 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
NIPS 2024
A Canonicalization Perspective on Invariant and Equivariant Learning
NIPS 2024
Neural Conditional Probability for Uncertainty Quantification
NIPS 2024
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models
NIPS 2024
Understanding Bias in Large-Scale Visual Datasets
NIPS 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NIPS 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
NIPS 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
NIPS 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
NIPS 2024
ReFT: Representation Finetuning for Language Models
NIPS 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
NIPS 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NIPS 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NIPS 2024
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
NIPS 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NIPS 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
NIPS 2024
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
NIPS 2024
Co-occurrence is not Factual Association in Language Models
NIPS 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NIPS 2024
Learning Structure-Aware Representations of Dependent Types
NIPS 2024
Symmetry-Informed Governing Equation Discovery
NIPS 2024
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