representation learning

LITE: Intent-based Task Representation Learning Using Weak Supervision NAACL 2022 Local Augmentation for Graph Neural Networks ICML 2022 Locality-Aware Inter- and Intra-Video Reconstruction for Self-Supervised Correspondence Learning CVPR 2022 Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022 Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis NeurIPS 2022 Location-Free Human Pose Estimation CVPR 2022 Logographic Information Aids Learning Better Representations for Natural Language Inference AACL 2022 Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NeurIPS 2022 M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining CVPR 2022 MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching NeurIPS 2022 MAESTRO: Matched Speech Text Representations through Modality Matching Interspeech 2022 MAML and ANIL Provably Learn Representations ICML 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders that Listen NeurIPS 2022 Masked Autoencoding for Scalable and Generalizable Decision Making NeurIPS 2022 Masked Feature Generation Network for Few-Shot Learning IJCAI 2022 MaskTune: Mitigating Spurious Correlations by Forcing to Explore NeurIPS 2022 Matryoshka Representation Learning NeurIPS 2022 Max-Margin Contrastive Learning AAAI 2022 MCMAE: Masked Convolution Meets Masked Autoencoders NeurIPS 2022 Measuring Morphological Fusion Using Partial Information Decomposition COLING 2022 Measuring Representational Robustness of Neural Networks Through Shared Invariances ICML 2022 Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory AAAI 2022 Mere Contrastive Learning for Cross-Domain Sentiment Analysis COLING 2022