Co-occurring keywords · papers mentioning both
Papers
Image Block Augmentation for One-Shot Learning
AAAI 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
ICLR 2019
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
MIDL 2019
Implicit Semantic Data Augmentation for Deep Networks
NeurIPS 2019
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting
NAACL 2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
ACL 2019
Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System
Interspeech 2019
Improving ASR Systems for Children with Autism and Language Impairment Using Domain-Focused DNN Transfer Techniques
Interspeech 2019
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation
EMNLP 2019
Improving Precision of Grammatical Error Correction with a Cheat Sheet
ACL 2019
Improving Robustness of Machine Translation with Synthetic Noise
NAACL 2019
Improving Semantic Segmentation via Video Propagation and Label Relaxation
CVPR 2019
Improving the Robustness of Question Answering Systems to Question Paraphrasing
ACL 2019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
ICCV 2019
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation
AAAI 2019
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
NAACL 2019
Is artificial data useful for biomedical Natural Language Processing algorithms?
ACL 2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
IJCAI 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
CVPR 2019
Learning Data Manipulation for Augmentation and Weighting
NeurIPS 2019
Learning From Synthetic Data for Crowd Counting in the Wild
CVPR 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NeurIPS 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
ACL 2019
Learning to Augment with Feature Side-information
ACML 2019
Learning to Generate Synthetic Data via Compositing
CVPR 2019