conftrace_

representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations INTERSPEECH 2023

Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning INTERSPEECH 2023

SVVAD: Personal Voice Activity Detection for Speaker Verification INTERSPEECH 2023

MCR-Data2vec 2.0: Improving Self-supervised Speech Pre-training via Model-level Consistency Regularization INTERSPEECH 2023

Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations INTERSPEECH 2023

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems INTERSPEECH 2023

Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition INTERSPEECH 2023

Improving Joint Speech-Text Representations Without Alignment INTERSPEECH 2023

SparseVSR: Lightweight and Noise Robust Visual Speech Recognition INTERSPEECH 2023

Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data INTERSPEECH 2023

Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system INTERSPEECH 2023

Diverse Feature Mapping and Fusion via Multitask Learning for Multilingual Speech Emotion Recognition INTERSPEECH 2023

Leveraging Label Information for Multimodal Emotion Recognition INTERSPEECH 2023

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks AAAI 2023

Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023

Tree Learning: Optimal Sample Complexity and Algorithms AAAI 2023

Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023

Compositional Prototypical Networks for Few-Shot Classification AAAI 2023

Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective AAAI 2023

Metric Multi-View Graph Clustering AAAI 2023

Robust Self-Supervised Multi-Instance Learning with Structure Awareness AAAI 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023

Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023