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Deep Learning
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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
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
AAAI 2020
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
AAAI 2020
Multi-View Clustering in Latent Embedding Space
AAAI 2020
Weakly Supervised Disentanglement by Pairwise Similarities
AAAI 2020
A Multi-Scale Approach for Graph Link Prediction
AAAI 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
AAAI 2020
Image-Adaptive GAN Based Reconstruction
AAAI 2020
Adversarial Disentanglement with Grouped Observations
AAAI 2020
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models
AAAI 2020
A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data
AAAI 2020
Learning Conceptual-Contextual Embeddings for Medical Text
AAAI 2020
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
AAAI 2020
Integrating Relation Constraints with Neural Relation Extractors
AAAI 2020
Generalize Sentence Representation with Self-Inference
AAAI 2020
Integrating Deep Learning with Logic Fusion for Information Extraction
AAAI 2020
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching
AAAI 2020
Neural Machine Translation with Byte-Level Subwords
AAAI 2020
Distributed Representations for Arithmetic Word Problems
AAAI 2020
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System
AAAI 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
AAAI 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
AAAI 2020
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence
AAAI 2020
Hierarchically Clustered Representation Learning
AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models
AAAI 2020
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
AAAI 2020
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