Co-occurring keywords · papers mentioning both
Papers
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
NeurIPS 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
ICLR 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition
NeurIPS 2019
Towards Better Accuracy and Robustness with Localized Adversarial Training
AAAI 2019
Towards Reliable Learning for High Stakes Applications
AAAI 2019
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
AAAI 2019
Training Neural Networks with Local Error Signals
ICML 2019
Unsupervised Deep Learning by Neighbourhood Discovery
ICML 2019
Unsupervised Meta-Learning for Few-Shot Image Classification
NeurIPS 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
ICCV 2019
Utilizing Class Information for Deep Network Representation Shaping
AAAI 2019
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
CVPR 2019
Versatile Multiple Choice Learning and Its Application to Vision Computing
CVPR 2019
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People
CVPR 2019
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System
AAAI 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
ICML 2019
Weakly Supervised Image Classification Through Noise Regularization
CVPR 2019
What Do Single-View 3D Reconstruction Networks Learn?
CVPR 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
ICCV 2019
XNAS: Neural Architecture Search with Expert Advice
NeurIPS 2019
XRAI: Better Attributions Through Regions
ICCV 2019
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks
IJCAI 2019
A^2-Nets: Double Attention Networks
NeurIPS 2018
Active Learning for Convolutional Neural Networks: A Core-Set Approach
ICLR 2018
Adaptive Dropout with Rademacher Complexity Regularization
ICLR 2018