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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
AAAI 2023
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics
AAAI 2023
Online Symbolic Regression with Informative Query
AAAI 2023
TemplateGEC: Improving Grammatical Error Correction with Detection Template
ACL 2023
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
AAAI 2023
Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion
AAAI 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface
AAAI 2023
Towards Voice Reconstruction from EEG during Imagined Speech
AAAI 2023
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition
AAAI 2023
TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline
ACL 2023
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
AAAI 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning
AAAI 2023
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model
ACL 2023
Very Fast, Approximate Counterfactual Explanations for Decision Forests
AAAI 2023
Scalable Spatiotemporal Graph Neural Networks
AAAI 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
AAAI 2023
A fine-grained comparison of pragmatic language understanding in humans and language models
ACL 2023
Interpolating Graph Pair to Regularize Graph Classification
AAAI 2023
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
ICML 2023
Trafformer: Unify Time and Space in Traffic Prediction
AAAI 2023
A Textual Dataset for Situated Proactive Response Selection
ACL 2023
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