Representation Learning

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification EMNLP 2022 Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation NeurIPS 2022 Low-Light Image Enhancement with Normalizing Flow AAAI 2022 Low-Pass Graph Convolutional Network for Recommendation AAAI 2022 Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization JMLR 2022 M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design NeurIPS 2022 M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining CVPR 2022 Machine Learning on Graphs: A Model and Comprehensive Taxonomy JMLR 2022 MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching NeurIPS 2022 MAESTRO: Matched Speech Text Representations through Modality Matching Interspeech 2022 Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022 Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NeurIPS 2022 Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature EMNLP 2022 Making Sense of Raw Input (Extended Abstract) IJCAI 2022 MAML and ANIL Provably Learn Representations ICML 2022 Mandarin nasal place assimilation revisited: an acoustic study Interspeech 2022 Manifold Coordinates with Physical Meaning JMLR 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Manifold Learning Benefits GANs CVPR 2022 Many-to-Many Splatting for Efficient Video Frame Interpolation CVPR 2022 Marginal Tail-Adaptive Normalizing Flows ICML 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 Masked Feature Generation Network for Few-Shot Learning IJCAI 2022 Masked Prediction: A Parameter Identifiability View NeurIPS 2022