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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

Neural Belief Tracker: Data-Driven Dialogue State Tracking ACL 2017
An Empirical Study on The Properties of Random Bases for Kernel Methods NIPS 2017
Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017
Learning Co-Substructures by Kernel Dependence Maximization IJCAI 2017
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data IJCAI 2017
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017
DISA: A Scientific Writing Advisor with Deep Information Structure Analysis IJCAI 2017
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NIPS 2017
Controllable Invariance through Adversarial Feature Learning NIPS 2017
Label Distribution Learning Forests NIPS 2017
Deep Hyperspherical Learning NIPS 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NIPS 2017
The Complexity of Explaining Neural Networks Through (group) Invariants ALT 2017
Deep Subspace Clustering Networks NIPS 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability NIPS 2017
Structured Embedding Models for Grouped Data NIPS 2017
Deep Learning with Topological Signatures NIPS 2017
Invariance and Stability of Deep Convolutional Representations NIPS 2017
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema EACL 2017
Multitask Spectral Learning of Weighted Automata NIPS 2017
Multimodal Learning and Reasoning for Visual Question Answering NIPS 2017
Hash Embeddings for Efficient Word Representations NIPS 2017
Learning multiple visual domains with residual adapters NIPS 2017
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems NIPS 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NIPS 2017