Research Paper Presentations

Presentation/Reviewing Guidelines

Detailed Schedule

Date	Group No.	Group Members	Topic	Paper	Submission link
Mon Oct 9	0	Ankit/Akshay	CNNs	Deep Residual Learning for Image Recognition	Review
Wed Oct 11	1	Keshav/Shivanshu/Yatin	Attention	Attention is All You Need	Review
Thu Oct 12	2	Kunal/Pranshu/Bhavesh	Extreme Multi-Label Classification(XML)	Deep Learning for Extreme Multi-label Text Classification	Review

Mon Oct 30	3	Nikhil/Pranav/Mayank	Speech	WaveNet: A Generative Model for Raw Audio	Review
Wed Nov 1	4	Shristi/Amaresh/Aditya	CRF+DL(Vision)	DeepLab	Review
Thu Nov 2	5	Deepak/Abhishek/Pranjal	CRF+DL(NLP)	Structured prediction models for RNN based sequence labeling in clinical text	Review

Mon Nov 6	6	Nikhil/Ayush/Shivank	NTM	Neural Turing Machines	Review
Wed Nov 8	7	Aditi/Shreyan/Praveen	Memory Networks	End-To-End Memory Networks	Review
Thu Nov 9	8	Nitin/Ayushya/Pankaj		Generative Adversarial Networks	Review

Mon Nov 13	9	Happy/Yashoteja/Dinesh	Auto-Encoders	Auto-Encoding Variational Bayes	Review
Wed Nov 15	10	Gagan/Kabir/Vaibhav	GANs	Cycle GANs	Review
Thu Nov 16	11	Arindam/Vishal/Anupam	Deep RL	Asynchronous Methods for Deep Reinforcement Learning	Review

Paper Suggestions

CNNs/ Vision
- Resnet: https://arxiv.org/abs/1512.03385
- Object detection - Mask R-CNN: https://arxiv.org/abs/1703.06870
- Spatial Transformer networks https://arxiv.org/pdf/1506.02025.pdf
Memory Networks
- End-To-End Memory Networks https://arxiv.org/pdf/1503.08895.pdf
- Neural Turing Machines https://arxiv.org/pdf/1410.5401.pdf
Attention
- Show attend and tell https://arxiv.org/abs/1502.03044>
- Attention Is All You Need https://arxiv.org/abs/1706.03762
GANs
- Cycle GANs https://arxiv.org/abs/1703.10593
- DCGAN https://arxiv.org/abs/1511.06434
Variational Autoencoders
- Original paper https://arxiv.org/abs/1312.6114
- DRAW https://arxiv.org/abs/1502.04623
CNN+RNN
- Generating Image Descriptions https://arxiv.org/pdf/1412.2306v2.pdf
- Visual Question Answering https://arxiv.org/abs/1511.05234
Speech
- Wavenet https://arxiv.org/pdf/1609.03499.pdf
- Music Synthesis with WaveNet Autoencoders https://arxiv.org/pdf/1704.01279.pdf
Adversarial Learning
- Handling Adversarial Examples https://arxiv.org/pdf/1412.6572.pdf
Deep Learning + CRF
- DeepLab https://arxiv.org/pdf/1606.00915.pdf
- Human Pose Estimation http://www.cims.nyu.edu/~tompson/others/joint-training-convolutional.pdf
Deep Reinforcement Learning
- Optimization: https://arxiv.org/abs/1602.01783