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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
Towards Dynamic Message Passing on Graphs
NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NIPS 2024
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
NIPS 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NIPS 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning
NIPS 2024
QGFN: Controllable Greediness with Action Values
NIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
NIPS 2024
realSEUDO for real-time calcium imaging analysis
NIPS 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
NIPS 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
NIPS 2024
Self-supervised Transformation Learning for Equivariant Representations
NIPS 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
NIPS 2024
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
NIPS 2024
Understanding and Minimising Outlier Features in Transformer Training
NIPS 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
NIPS 2024
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
NIPS 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NIPS 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
NIPS 2024
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
NIPS 2024
Continual Learning in the Frequency Domain
NIPS 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
NIPS 2024
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