Representation Learning

Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding NeurIPS 2021 Learned Dual-View Reflection Removal WACV 2021 Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge IJCAI 2021 Learning advanced mathematical computations from examples ICLR 2021 Learning Aggregation Functions IJCAI 2021 Learning a Self-Expressive Network for Subspace Clustering CVPR 2021 Learning Associative Inference Using Fast Weight Memory ICLR 2021 Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval ICCV 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Bijective Feature Maps for Linear ICA AISTATS 2021 Learning Binary Decision Trees by Argmin Differentiation ICML 2021 Learning Branching Heuristics for Propositional Model Counting AAAI 2021 Learning by Aligning Videos in Time CVPR 2021 Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences ICCV 2021 Learning by Fixing: Solving Math Word Problems with Weak Supervision AAAI 2021 Learning Canonical View Representation for 3D Shape Recognition With Arbitrary Views ICCV 2021 Learning Class-Transductive Intent Representations for Zero-shot Intent Detection IJCAI 2021 Learning CNF Theories Using MDL and Predicate Invention IJCAI 2021 Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) NeurIPS 2021 Learning Conjoint Attentions for Graph Neural Nets NeurIPS 2021 Learning Constraints and Descriptive Segmentation for Subevent Detection EMNLP 2021