CSE 704: Practical Techniques in Deep Learning

Venu Govindaraju

Paper Reviews for CSE 704 Practical Techniques in Deep Learning

Week 1-2

• NO PAPERS

Week 3

• Overcoming Catastrophic Forgetting with Hard Attention to the Task (https://arxiv.org/pdf/1801.01423.pdf)
• Lifelong Learning with Dynamically Expandable Networks (https://arxiv.org/pdf/1708.01547.pdf)

Week 4

• Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes (https://arxiv.org/pdf/1610.03670.pdf)
• SSH: Single Stage Headless Face Detector (https://arxiv.org/pdf/1708.03979.pdf)
• Learning Spatial and Temporal Cues for Multi-label Facial Action Unit Detection (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961719&tag=1)

Week 5

• Advancing the State-of-the-Art for Handwritten Math Recognition:The CROHME Competitions, 2011 – 2014 (https://link.springer.com/article/10.1007/s10032-016-0263-5)
• ChartSense: Interactive Data Extraction from Chart Images (https://www.microsoft.com/en-us/research/wp-content/uploads/2017/02/ChartSense-CHI2017.pdf)
• A Novel Connectionist System for Unconstrained Handwriting Recognition (https://ieeexplore.ieee.org/document/4531750/)

Week 6

• EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection (https://arxiv.org/pdf/1702.02925.pdf)
• An Overview of Multi-Task Learning in Deep Neural Networks (https://arxiv.org/pdf/1706.05098.pdf)
• Single Shot Scale-invariant Face Detector (https://arxiv.org/pdf/1708.05237.pdf)

Week 7

• Conditional Image Synthesis with Auxiliary Classifier GANs (https://arxiv.org/pdf/1610.09585.pdf)
• FigureSeer: Parsing Result-Figures in Research Papers (http://ai2-website.s3.amazonaws.com/publications/Siegel16eccv.pdf)
• Joint Line Segmentation and Transcriptiopn for End-to-End Handwritten Paragraph Recognition (https://arxiv.org/pdf/1604.08352.pdf)

Week 8-9

• MID-TERM WEEK

Week 10

• Deep Regionlets for Object Detection (https://arxiv.org/pdf/1712.02408.pdf)
• Deep Structure Inference Network for Facial Action Unit Recognition (http://openaccess.thecvf.com/content_ECCV_2018/papers/Ciprian_Corneanu_Deep_Structure_Inference_ECCV_2018_paper.pdf)
• Adaptively Weighted Multi-task Deep Network for Person Attribute Classification (http://www.yugangjiang.info/publication/17MM-PersonAttribute.pdf)

Week 11

• DRAW: A Recurrent Neural Network For Image Generation (https://arxiv.org/pdf/1502.04623.pdf)
• An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition (https://arxiv.org/pdf/1507.05717.pdf)
• DeepChart: Combining deep convolutional networks and deep belief networks in chart classification (https://www.sciencedirect.com/science/article/pii/S0165168415003291)

Week 12

• Focal Loss for Dense Object Detection (https://arxiv.org/pdf/1708.02002.pdf)
• Weakly Supervised Facial Action Unit Recognition through Adversarial Training (http://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_Weakly_Supervised_Facial_CVPR_2018_paper.pdf)
• Multi-task CNN Model for Attribute Prediction (https://arxiv.org/pdf/1601.00400.pdf)

Week 13

• Generating Handwritten Chinese Characters using CycleGAN (https://arxiv.org/pdf/1801.08624.pdf)
• Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention (https://arxiv.org/pdf/1604.03286.pdf)
• Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270059)