Representation Learning

Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph EMNLP 2021 Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction CVPR 2021 Learning Position and Target Consistency for Memory-Based Video Object Segmentation CVPR 2021 Learning Self-Consistency for Deepfake Detection ICCV 2021 Learning State Representations from Random Deep Action-conditional Predictions NeurIPS 2021 Learning Statistical Texture for Semantic Segmentation CVPR 2021 Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment ACL 2021 Learning Term Embeddings for Lexical Taxonomies AAAI 2021 Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021 Learning the Non-Differentiable Optimization for Blind Super-Resolution CVPR 2021 Learning the Predictability of the Future CVPR 2021 Learning To Diversify for Single Domain Generalization ICCV 2021 Learning to Generate Dense Point Clouds With Textures on Multiple Categories WACV 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021 Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021 Learning To Recover 3D Scene Shape From a Single Image CVPR 2021 Learning To Warp for Style Transfer CVPR 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 Learning Universal Authorship Representations EMNLP 2021 Learning with Algorithmic Supervision via Continuous Relaxations NeurIPS 2021 Learning with Retrospection AAAI 2021 Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically EMNLP 2021 Lexicon Learning for Few Shot Sequence Modeling ACL 2021 Linear Semantics in Generative Adversarial Networks CVPR 2021 Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection CVPR 2021