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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020
Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020
Learning Obstacle Representations for Neural Motion Planning CORL 2020
Action-based Representation Learning for Autonomous Driving CORL 2020
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing CORL 2020
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification COLING 2020
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels COLING 2020
An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification COLING 2020
Dual Attention Model for Citation Recommendation COLING 2020
A Representation Learning Approach to Animal Biodiversity Conservation COLING 2020
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis COLING 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis COLING 2020
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis COLING 2020
Unsupervised Fine-tuning for Text Clustering COLING 2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models COLING 2020
Token Drop mechanism for Neural Machine Translation COLING 2020
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention WACV 2020
Unsupervised Image Style Embeddings for Retrieval and Recognition Tasks WACV 2020
Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification WACV 2020
Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification WACV 2020
Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020
Region Pooling with Adaptive Feature Fusion for End-to-End Person Recognition WACV 2020
Diffeomorphic Learning JMLR 2020