mixup
- North America > United States > Wisconsin (0.04)
- North America > United States > Texas (0.04)
- Europe > Spain > Catalonia > Barcelona Province > Barcelona (0.04)
- (2 more...)
Overleaf Example
Such a lack of alignment and uniformity might restrict the transferability and robustness of embeddings. To this end, we devise a new fine-tuning method for robust representation equipping better alignment and uniformity. First, we propose a Geodesic Multi-Modal Mixup that mixes the embeddings of image and text to generate hard negative samples on the hypersphere.
- Asia > South Korea > Seoul > Seoul (0.40)
- Oceania > Australia > Victoria > Melbourne (0.04)
- North America > United States > Michigan > Washtenaw County > Ann Arbor (0.04)
- (2 more...)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Sensing and Signal Processing > Image Processing (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex M. Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Chris Pal
Neural Information Processing Systems http://nips.cc/
- North America > Canada > Quebec > Montreal (0.05)
- Europe > Finland (0.04)
- North America > United States > Washington > King County > Bellevue (0.04)
- Europe > Sweden > Stockholm > Stockholm (0.04)
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
The success of contrastive learning is well known to be dependent on data augmentation.
- Europe > Switzerland > Zürich > Zürich (0.14)
- North America > Canada > British Columbia > Vancouver (0.04)
- North America > United States > California > Los Angeles County > Long Beach (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
- Health & Medicine > Therapeutic Area > Cardiology/Vascular Diseases (1.00)
- Health & Medicine > Health Care Technology (1.00)
- Health & Medicine > Diagnostic Medicine > Imaging (0.67)
AUnifiedAnalysisofMixedSampleData Augmentation: ALossFunctionPerspective
Using the theoretical results, we provide a high-level understanding of howdifferentdesign choices ofMSDAworkdifferently.
AUnifiedAnalysisofMixedSampleData Augmentation: ALossFunctionPerspective
Using the theoretical results, we provide a high-level understanding of howdifferentdesign choices ofMSDAworkdifferently.
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin A. Raffel
Neural Information Processing Systems http://nips.cc/
- Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Unsupervised or Indirectly Supervised Learning (0.73)