Co-occurring keywords · papers mentioning both
Papers
Frustratingly Easy Neural Domain Adaptation
COLING 2016
Head Motion Generation with Synthetic Speech: A Data Driven Approach
Interspeech 2016
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning
CVPR 2016
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching
CVPR 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
AISTATS 2016
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
CVPR 2016
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
JMLR 2016
Learning Bound for Parameter Transfer Learning
NeurIPS 2016
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
NeurIPS 2016
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework
CVPR 2016
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network
CVPR 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation
NeurIPS 2016
Learning With Side Information Through Modality Hallucination
CVPR 2016
Leveraging Multiple Domains for Sentiment Classification
COLING 2016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations
MLHC 2016
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
SemEval 2016
Multi-Cue Zero-Shot Learning With Strong Supervision
CVPR 2016
Multi-step learning and underlying structure in statistical models
NeurIPS 2016
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting
Interspeech 2016
Multivariate Regression on the Grassmannian for Predicting Novel Domains
CVPR 2016
Network Morphism
ICML 2016
Object based Scene Representations using Fisher Scores of Local Subspace Projections
NeurIPS 2016
On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition
Interspeech 2016
Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages
Interspeech 2016
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
COLING 2016