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Papers
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
AAAI 2022
Joint Completion and Alignment of Multilingual Knowledge Graphs
EMNLP 2022
JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data
JMLR 2022
Learning and Evaluating Character Representations in Novels
ACL 2022
Learning Contrastive Embedding in Low-Dimensional Space
NeurIPS 2022
Learning Geolocations for Cold-Start and Hard-to-Resolve Addresses via Deep Metric Learning
EMNLP 2022
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation
AAAI 2022
Learning Where To Learn in Cross-View Self-Supervised Learning
CVPR 2022
Matryoshka Representation Learning
NeurIPS 2022
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities
IJCAI 2022
Multi-Modal Extreme Classification
CVPR 2022
NAIST-NICT-TIT WMT22 General MT Task Submission
EMNLP 2022
Neighborhood-Adaptive Structure Augmented Metric Learning
AAAI 2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
EMNLP 2022
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning
CVPR 2022
Nonparametric Embeddings of Sparse High-Order Interaction Events
ICML 2022
NTULM: Enriching Social Media Text Representations with Non-Textual Units
COLING 2022
On Metric Learning for Audio-Text Cross-Modal Retrieval
Interspeech 2022
On the Representation Collapse of Sparse Mixture of Experts
NeurIPS 2022
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
AAAI 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
ICML 2022
Paraphrastic Representations at Scale
EMNLP 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
AAAI 2022
PMAL: Open Set Recognition via Robust Prototype Mining
AAAI 2022
Self-Taught Metric Learning Without Labels
CVPR 2022