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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
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
NIPS 2024
Easy Regional Contrastive Learning of Expressive Fashion Representations
NIPS 2024
Maia-2: A Unified Model for Human-AI Alignment in Chess
NIPS 2024
Derivative-enhanced Deep Operator Network
NIPS 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NIPS 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
NIPS 2024
Transferring disentangled representations: bridging the gap between synthetic and real images
NIPS 2024
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences
NIPS 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
NIPS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
NIPS 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
NIPS 2024
Parallel Backpropagation for Shared-Feature Visualization
NIPS 2024
Dense Associative Memory Through the Lens of Random Features
NIPS 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
NIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
NIPS 2024
Long-range Brain Graph Transformer
NIPS 2024
Controlled maximal variability along with reliable performance in recurrent neural networks
NIPS 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NIPS 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
NIPS 2024
Cross-video Identity Correlating for Person Re-identification Pre-training
NIPS 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks
NIPS 2024
Improving Decision Sparsity
NIPS 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NIPS 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NIPS 2024
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