Skip to content
conftrace_

embedding learning

629 papers

Papers

Semi-Supervised Metric Learning: A Deep Resurrection AAAI 2021 Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions Interspeech 2021 S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging SemEval 2021 Speaker Turn Modeling for Dialogue Act Classification EMNLP 2021 StacMR: Scene-Text Aware Cross-Modal Retrieval WACV 2021 Structure-aware Sentence Encoder in Bert-Based Siamese Network ACL 2021 Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings NAACL 2021 Towards Interpretable Deep Metric Learning With Structural Matching ICCV 2021 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021 Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision CVPR 2021 Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems ACL 2021 Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021 Variational Information Bottleneck Based Regularization for Speaker Recognition Interspeech 2021 Wasserstein Coupled Graph Learning for Cross-Modal Retrieval ICCV 2021 Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding EMNLP 2021 Action Modifiers: Learning From Adverbs in Instructional Videos CVPR 2020 Active Ordinal Querying for Tuplewise Similarity Learning AAAI 2020 Adapting Grad-CAM for Embedding Networks WACV 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020 An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions Interspeech 2020 An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets EMNLP 2020 An end-to-end approach for the verification problem: learning the right distance ICML 2020 An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality ICLR 2020 An Industry Evaluation of Embedding-based Entity Alignment COLING 2020 Autoencoders that don't overfit towards the Identity NeurIPS 2020