representation learning

“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction ICML 2021 BART-TL: Weakly-Supervised Topic Label Generation EACL 2021 Batch Normalization Orthogonalizes Representations in Deep Random Networks NeurIPS 2021 Behavior-Driven Synthesis of Human Dynamics CVPR 2021 Behavior From the Void: Unsupervised Active Pre-Training NeurIPS 2021 Benchmarking Representation Learning for Natural World Image Collections CVPR 2021 Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021 Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters ICLR 2021 Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio ACL 2021 Biomedical Concept Normalization by Leveraging Hypernyms EMNLP 2021 Birds of a Feather: Capturing Avian Shape Models From Images CVPR 2021 Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics CVPR 2021 Boundary-Sensitive Pre-Training for Temporal Localization in Videos ICCV 2021 Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021 Bridging Code-Text Representation Gap using Explanation ACML 2021 Building Affordance Relations for Robotic Agents - A Review IJCAI 2021 ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NeurIPS 2021 Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation SemEval 2021 Can contrastive learning avoid shortcut solutions? NeurIPS 2021 CanvasVAE: Learning To Generate Vector Graphic Documents ICCV 2021 Can We Characterize Tasks Without Labels or Features? CVPR 2021 CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 CDS: Cross-Domain Self-Supervised Pre-Training ICCV 2021 Changing the Basis of Contextual Representations with Explicit Semantics ACL 2021