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← Core Methods
Machine Learning
›
Core Methods
›
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
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
AAAI 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning
AAAI 2024
Curved Representation Space of Vision Transformers
AAAI 2024
SALSA: Semantically-Aware Latent Space Autoencoder
AAAI 2024
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
AAAI 2024
All Beings Are Equal in Open Set Recognition
AAAI 2024
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
AAAI 2024
Tensorized Label Learning on Anchor Graph
AAAI 2024
Towards Making Learnware Specification and Market Evolvable
AAAI 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
AAAI 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
AAAI 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
AAAI 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
AAAI 2024
A Graph Dynamics Prior for Relational Inference
AAAI 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
AAAI 2024
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
AAAI 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
AAAI 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
AAAI 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
AAAI 2024
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
AAAI 2024
Reliable Conflictive Multi-View Learning
AAAI 2024
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