| Contrastive Learning for Cross-Domain Open World Recognition. | 0 | 0.34 | 2022 |
| Semantic Novelty Detection via Relational Reasoning. | 0 | 0.34 | 2022 |
| Self-Supervised Learning Across Domains | 1 | 0.39 | 2022 |
| Self-supervision & meta-learning for one-shot unsupervised cross-domain detection | 0 | 0.34 | 2022 |
| Denoise and Contrast for Category Agnostic Shape Completion | 0 | 0.34 | 2021 |
| Multi-Modal RGB-D Scene Recognition Across Domains | 0 | 0.34 | 2021 |
| Positive-unlabeled learning for open set domain adaptation. | 0 | 0.34 | 2020 |
| Self-Supervision for 3D Real-World Challenges. | 0 | 0.34 | 2020 |
| Rethinking Domain Generalization Baselines | 0 | 0.34 | 2020 |
| Domain Generalization vs Data Augmentation - An Unbiased Perspective. | 0 | 0.34 | 2020 |
| Bridging The Gap Between Natural And Medical Images Through Deep Colorization | 0 | 0.34 | 2020 |
| Joint Supervised And Self-Supervised Learning For 3d Real World Challenges | 0 | 0.34 | 2020 |
| Towards Multi-Source Adaptive Semantic Segmentation | 0 | 0.34 | 2019 |
| Domain Generalization By Solving Jigsaw Puzzles | 18 | 0.59 | 2019 |
| Combining Multiple Cues for Visual Madlibs Question Answering | 0 | 0.34 | 2019 |
| Tackling Partial Domain Adaptation With Self-Supervision | 1 | 0.37 | 2019 |
| Agnostic Domain Generalization. | 0 | 0.34 | 2018 |
| Training Deep Networks without Learning Rates Through Coin Betting | 3 | 0.37 | 2017 |
| Backprop without Learning Rates Through Coin Betting. | 1 | 0.36 | 2017 |
| Solving Visual Madlibs with Multiple Cues. | 3 | 0.37 | 2016 |
| Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks | 15 | 0.56 | 2015 |
| Multi-source Adaptive Learning for Fast Control of Prosthetics Hand | 6 | 0.46 | 2014 |
| Learning Categories from Few Examples with Multi Model Knowledge Transfer. | 46 | 1.06 | 2014 |
| A Testbed For Cross-Dataset Analysis | 24 | 0.93 | 2014 |
| Improving Control of Dexterous Hand Prostheses Using Adaptive Learning | 22 | 1.02 | 2013 |
| Frustratingly Easy NBNN Domain Adaptation | 37 | 1.41 | 2013 |
| Leveraging Over Prior Knowledge For Online Learning Of Visual Categories | 9 | 0.54 | 2012 |
| Beyond dataset bias: multi-task unaligned shared knowledge transfer | 23 | 1.07 | 2012 |
| Transferring Activities: Updating Human Behavior Analysis | 4 | 0.37 | 2011 |
| Multiclass transfer learning from unconstrained priors | 51 | 1.57 | 2011 |
| Using Object Affordances to Improve Object Recognition | 26 | 0.83 | 2011 |
| Learning methods for melanoma recognition | 4 | 0.40 | 2010 |
| Safety In Numbers: Learning Categories From Few Examples With Multi Model Knowledge Transfer | 66 | 3.44 | 2010 |
| The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories | 33 | 1.86 | 2009 |
| Overview of the CLEF 2009 Medical Image Annotation Track. | 29 | 1.25 | 2009 |
| An SVM confidence-based approach to medical image annotation | 7 | 0.63 | 2008 |
| Discriminative cue integration for medical image annotation | 49 | 1.71 | 2008 |
| CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach. | 3 | 0.40 | 2008 |
| Cue Integration for Medical Image Annotation | 1 | 0.38 | 2007 |
| CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach. | 12 | 1.18 | 2007 |
| Melanoma recognition using representative and discriminative kernel classifiers | 7 | 0.69 | 2006 |
| Kernel Methods for Melanoma Recognition. | 1 | 0.36 | 2006 |
