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Papers
Statistical Approach to Speech Synthesis: Past, Present and Future
Interspeech 2019
STC Speaker Recognition Systems for the VOiCES from a Distance Challenge
Interspeech 2019
Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective
ACL 2019
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow
ICCV 2019
Survey Talk: End-to-End Deep Neural Network Based Speaker and Language Recognition
Interspeech 2019
Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models
Interspeech 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
IJCAI 2019
Target Speaker Recovery and Recognition Network with Average x-Vector and Global Training
Interspeech 2019
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding
AAAI 2019
The Adversarial Attack and Detection under the Fisher Information Metric
AAAI 2019
The Contribution of Lip Protrusion to Anglo-English /r/: Evidence from Hyper- and Non-Hyperarticulated Speech
Interspeech 2019
The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation
Interspeech 2019
The Geometry of Deep Networks: Power Diagram Subdivision
NeurIPS 2019
The JHU Speaker Recognition System for the VOiCES 2019 Challenge
Interspeech 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
ICLR 2019
Topological Data Analysis of Decision Boundaries with Application to Model Selection
ICML 2019
Topology-Preserving Deep Image Segmentation
NeurIPS 2019
Towards High-Fidelity Nonlinear 3D Face Morphable Model
CVPR 2019
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks
ACL 2019
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
AAAI 2019
Transport Analysis of Infinitely Deep Neural Network
JMLR 2019
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
IJCAI 2019
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
AAAI 2019
Unbiased Implicit Variational Inference
AISTATS 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
ICML 2019