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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
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
AAAI 2024
Generalized Planning for the Abstraction and Reasoning Corpus
AAAI 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
AAAI 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
AAAI 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
AAAI 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
AAAI 2024
Neural Causal Abstractions
AAAI 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection
AAAI 2024
On the Concept Trustworthiness in Concept Bottleneck Models
AAAI 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
AAAI 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War
AAAI 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
AAAI 2024
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data
AAAI 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control
AAAI 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
AAAI 2024
Regeneration Learning: A Learning Paradigm for Data Generation
AAAI 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
AAAI 2024
Learning Representations for Robust Human-Robot Interaction
AAAI 2024
When Causal Inference Meets Graph Machine Learning
AAAI 2024
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
AAAI 2024
Exploiting Data Geometry in Machine Learning
AAAI 2024
Towards Human-like Learning from Relational Structured Data
AAAI 2024
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)
AAAI 2024
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