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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

Multi-Head Deep Metric Learning Using Global and Local Representations WACV 2022
Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022
Unsupervised Learning for Human Sensing Using Radio Signals WACV 2022
Improving Model Generalization by Agreement of Learned Representations From Data Augmentation WACV 2022
Hierarchical Proxy-Based Loss for Deep Metric Learning WACV 2022
Visual Emotion Representation Learning via Emotion-Aware Pre-training IJCAI 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NIPS 2022
Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022
Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022
The Magnitude and Phase based Speech Representation Learning using Autoencoder for Classifying Speech Emotions using Deep Canonical Correlation Analysis INTERSPEECH 2022
Speech Pre-training with Acoustic Piece INTERSPEECH 2022
Cross-Domain Few-Shot Graph Classification AAAI 2022
Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning AAAI 2022
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022
Continual Learning through Retrieval and Imagination AAAI 2022
Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022
Text Revision By On-the-Fly Representation Optimization AAAI 2022
Sequence Level Contrastive Learning for Text Summarization AAAI 2022
TorchXRayVision: A library of chest X-ray datasets and models MIDL 2022
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies MIDL 2022
Exploring evolution-aware & -free protein language models as protein function predictors NIPS 2022
Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation ACL 2022