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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Semantics-Aligned Representation Learning for Person Re-Identification AAAI 2020
Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias COLING 2020
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition AAAI 2020
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020
A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings COLING 2020
Embedding Semantic Taxonomies COLING 2020
Learning distributed sentence vectors with bi-directional 3D convolutions COLING 2020
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation COLING 2020
Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning COLING 2020
CxGBERT: BERT meets Construction Grammar COLING 2020
Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks COLING 2020
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification COLING 2020
Rule-Guided Compositional Representation Learning on Knowledge Graphs AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020
Long Short-Term Sample Distillation AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
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