conftrace_
← Learning Types
Machine Learning › Learning Types ›

Deep Learning

1,397 papers

Papers per year

3
163
233
'15
'20
'25

Papers

How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH 2020
A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings INTERSPEECH 2020
Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning INTERSPEECH 2020
Multi-Stream Attention-Based BLSTM with Feature Segmentation for Speech Emotion Recognition INTERSPEECH 2020
GEV Beamforming Supported by DOA-Based Masks Generated on Pairs of Microphones INTERSPEECH 2020
Accurate Detection of Wake Word Start and End Using a CNN INTERSPEECH 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020
Multi-class Novelty Detection Using Mix-up Technique WACV 2020
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features AAAI 2019
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search AAAI 2019
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System AAAI 2019
Understanding Dropouts in MOOCs AAAI 2019
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks AAAI 2019
Deep Latent Generative Models for Energy Disaggregation AAAI 2019
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting AAAI 2019
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator AAAI 2019
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019
Reasoning over Streaming Data in Metric Temporal Datalog AAAI 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies AAAI 2019
Utilizing Class Information for Deep Network Representation Shaping AAAI 2019
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019