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Representation Learning

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Papers

Structured Visual Search via Composition-Aware Learning WACV 2021 Structure-Preserving Deraining With Residue Channel Prior Guidance ICCV 2021 Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher ICCV 2021 Student-Teacher Learning From Clean Inputs to Noisy Inputs CVPR 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding ACL 2021 STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech Interspeech 2021 StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation CVPR 2021 Style Transfer by Rigid Alignment in Neural Net Feature Space WACV 2021 Stylometric Literariness Classification: the Case of Stephen King EMNLP 2021 Subgraph Federated Learning with Missing Neighbor Generation NeurIPS 2021 Subspace Clustering through Sub-Clusters JMLR 2021 Subspace Embeddings under Nonlinear Transformations ALT 2021 SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning NeurIPS 2021 Subword Pooling Makes a Difference EACL 2021 Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection ICCV 2021 SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations EMNLP 2021 Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 Super Resolve Dynamic Scene From Continuous Spike Streams ICCV 2021 Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications AAAI 2021 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 Surprisal Estimators for Human Reading Times Need Character Models ACL 2021 Surrogate Gradient Field for Latent Space Manipulation CVPR 2021 SWEAT: Scoring Polarization of Topics across Different Corpora EMNLP 2021 Switchable K-Class Hyperplanes for Noise-Robust Representation Learning ICCV 2021