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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
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint)
AAAI 2024
Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data
AAAI 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
AAAI 2024
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages
AAAI 2024
Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning
AAAI 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models
AAAI 2024
Learning from an Infant’s Visual Experience
AAAI 2024
Visual Abstract Reasoning in Computational Imagery
AAAI 2024
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)
AAAI 2024
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
AAAI 2024
Simple Orthogonal Graph Representation Learning (Student Abstract)
AAAI 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
AAAI 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)
AAAI 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
AAAI 2024
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)
AAAI 2024
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)
AAAI 2024
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
AAAI 2024
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)
AAAI 2024
Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)
AAAI 2024
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)
AAAI 2024
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