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Pau Rodriguez edited this page May 10, 2017
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Here we will post the list of papers discussed during each session.
- [@edgarriba] 22nd december
- Learning to learn without gradient descent by gradient descent
- http://jmlr.org/proceedings/papers/v28/sutskever13.pdf
- Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
https://arxiv.org/pdf/1611.05431v1.pdf
https://arxiv.org/abs/1612.08083
YOLO9000: Better, Faster, Stronger
The More You Know: Using Knowledge Graphs for Image Classification
- Learning to learn by gradient descent by gradient descent [ @prlz77 ]
- Learned Optimizers that Scale and Generalize[ @prlz77 ]
- Dilated Convolutions [ @gitabcworld ]
- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [ @priba ]
- Stacked Generative Adversarial Networks [ @prlz77 ]
- Finding Tiny Faces [ @priba ]
- Feature Pyramid Networks for Object Detection [ @prlz77 ]
- CliqueCNN: Deep Unsupervised Exemplar Learning [ @edgarriba ]
- UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS [ @prlz77 ]
- Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer [ @edgarriba ]
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering [@priba]
- Fully Convolutional Networks for Semantic Segmentation [@edgarriba]
- R-FCN [@prlz77]
- FAIR team (pos 6 detection, pos 4 segmentation) A MultiPath Network for Object Detection [ @gitabcworld ]
- Slides ECCV MSRA Slides ECCV MSRA [ @prlz77 ]
- Keypoints ECCV Multi-Person Pose Estimation with Part Affinity Field [ @priba ]
MSCOCO 2016 Results, Leaderboard
- Base of most solutions Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [ @edgarriba ]