Deep Learning
1,404 papers
Papers per year
3
4
3
5
11
4
5
4
26
50
68
106
163
131
138
164
279
234
6
'15
'20
'25
Papers
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
COLING 2016
Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition
Interspeech 2016
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models
Interspeech 2016
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
COLING 2016
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM
Interspeech 2016
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting
Interspeech 2016
Multi-view and multi-task training of RST discourse parsers
COLING 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
ICML 2016
Non-sentential Question Resolution using Sequence to Sequence Learning
COLING 2016
Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting
Interspeech 2016
Ranking Responses Oriented to Conversational Relevance in Chat-bots
COLING 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding
Interspeech 2016
Structured Prediction Energy Networks
ICML 2016
Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in Mobile Person Recognition
Interspeech 2016
Deep Knowledge Tracing
NeurIPS 2015
Max-Margin Deep Generative Models
NeurIPS 2015
Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs
ICCV 2015
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
ICML 2015
On the Computational Efficiency of Training Neural Networks
NeurIPS 2014
Provable Bounds for Learning Some Deep Representations
ICML 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
NeurIPS 2014
Sequence to Sequence Learning with Neural Networks
NeurIPS 2014
Stochastic Gradient Hamiltonian Monte Carlo
ICML 2014
Adaptive dropout for training deep neural networks
NeurIPS 2013