self-supervised learning

Leveraging Time Irreversibility with Order-Contrastive Pre-training AISTATS 2022 Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition ACL 2022 Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval EMNLP 2022 Lexi: Self-Supervised Learning of the UI Language EMNLP 2022 Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning CVPR 2022 Locally Normalized Soft Contrastive Clustering for Compact Clusters IJCAI 2022 Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis NeurIPS 2022 Long-Short Temporal Contrastive Learning of Video Transformers CVPR 2022 Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos CVPR 2022 Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NeurIPS 2022 Low Resource Comparison of Attention-based and Hybrid ASR Exploiting wav2vec 2.0 Interspeech 2022 MAE-AST: Masked Autoencoding Audio Spectrogram Transformer Interspeech 2022 MAESTRO: Matched Speech Text Representations through Modality Matching Interspeech 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 Masked Autoencoders that Listen NeurIPS 2022 Masked Feature Prediction for Self-Supervised Visual Pre-Training CVPR 2022 Masked Prediction: A Parameter Identifiability View NeurIPS 2022 Masking Modalities for Cross-Modal Video Retrieval WACV 2022 MaskSplit: Self-Supervised Meta-Learning for Few-Shot Semantic Segmentation WACV 2022 MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract) AAAI 2022 MBW: Multi-view Bootstrapping in the Wild NeurIPS 2022 MCMAE: Masked Convolution Meets Masked Autoencoders NeurIPS 2022 MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling EMNLP 2022