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Representation Learning

5,307 papers

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Papers

“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021 BABEL: Bodies, Action and Behavior With English Labels CVPR 2021 Benchmarking Representation Learning for Natural World Image Collections CVPR 2021 Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021 Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021 BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology EMNLP 2021 BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? ACL 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Beyond Sentence-Level End-to-End Speech Translation: Context Helps ACL 2021 Biomedical Concept Normalization by Leveraging Hypernyms EMNLP 2021 Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021 Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics CVPR 2021 Boosting Video Representation Learning With Multi-Faceted Integration CVPR 2021 Bootstrapped Unsupervised Sentence Representation Learning ACL 2021 Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression CVPR 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 Interpretable Interaction Trees for Deep NLP Models AAAI 2021 C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling AAAI 2021 Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL 2021 Can We Characterize Tasks Without Labels or Features? CVPR 2021 Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation ACL 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021