Representation Learning
22,308 papers
Papers per year
2
4
3
18
4
9
65
67
82
78
102
104
142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
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Papers
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
ICML 2019
RANet: Ranking Attention Network for Fast Video Object Segmentation
ICCV 2019
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
NAACL 2019
Rare Event Detection Using Disentangled Representation Learning
CVPR 2019
RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification
Interspeech 2019
Reading selectively via Binary Input Gated Recurrent Unit
IJCAI 2019
Realtime Generation of Audible Textures Inspired by a Video Stream
AAAI 2019
Reasoning Visual Dialogs With Structural and Partial Observations
CVPR 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
ICCV 2019
Recognizing Unseen Attribute-Object Pair with Generative Model
AAAI 2019
Reconstructing Trees from Traces
COLT 2019
Recovering dropped pronouns in Chinese conversations via modeling their referents
NAACL 2019
Recovery Guarantees For Quadratic Tensors With Sparse Observations
AISTATS 2019
Recurrent Kernel Networks
NeurIPS 2019
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections
IJCAI 2019
Recurrent Poisson Process Unit for Speech Recognition
AAAI 2019
Recursive Context-Aware Lexical Simplification
EMNLP 2019
Recursive Sketches for Modular Deep Learning
ICML 2019
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach
ACL 2019
Re-examination of the Role of Latent Variables in Sequence Modeling
NeurIPS 2019
Referring Expression Generation Using Entity Profiles
EMNLP 2019
Referring to Objects in Videos Using Spatio-Temporal Identifying Descriptions
NAACL 2019
Refining Word Representations by Manifold Learning
IJCAI 2019
Regret Bounds for Learning State Representations in Reinforcement Learning
NeurIPS 2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
NeurIPS 2019