stat946w18: Difference between revisions

From statwiki
Jump to navigation Jump to search
Line 39: Line 39:
|Mar 1 ||  || 6||  ||  ||  
|Mar 1 ||  || 6||  ||  ||  
|-
|-
|Mar 6 ||  || 3||  ||  ||  
|Mar 6 ||  || 7||  ||  ||  
|-
|-
|Mar 6 ||  || 3||  ||  ||  
|Mar 6 ||  || 8||  ||  ||  
|-
|-
|Mar 6 ||  || 3||  ||  ||  
|Mar 6 ||  || 9||  ||  ||  
|-
|-
|Mar 8 || Alex (Xian) Wang || 4 || Self-Normalizing Neural Networks || [http://papers.nips.cc/paper/6698-self-normalizing-neural-networks.pdf Paper] ||  
|Mar 8 || Alex (Xian) Wang || 10 || Self-Normalizing Neural Networks || [http://papers.nips.cc/paper/6698-self-normalizing-neural-networks.pdf Paper] ||  
|-
|-
|Mar 8 ||  || 4||  ||  ||  
|Mar 8 ||  || 11||  ||  ||  
|-
|-
|Mar 8 ||  || 4||  ||  ||  
|Mar 8 ||  || 12||  ||  ||  
|-
|-
|Mar 13 || Chunshang Li  || 13 || UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS || [https://openreview.net/pdf?id=SJLlmG-AZ Paper] ||  
|Mar 13 || Chunshang Li  || 13 || UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS || [https://openreview.net/pdf?id=SJLlmG-AZ Paper] ||  
Line 55: Line 55:
|Mar 13 || Saifuddin Hitawala || 14 || Thinking Fast and Slow with Deep Learning and Tree Search || [https://papers.nips.cc/paper/7120-thinking-fast-and-slow-with-deep-learning-and-tree-search.pdf Paper] ||  
|Mar 13 || Saifuddin Hitawala || 14 || Thinking Fast and Slow with Deep Learning and Tree Search || [https://papers.nips.cc/paper/7120-thinking-fast-and-slow-with-deep-learning-and-tree-search.pdf Paper] ||  
|-
|-
|Mar 13 ||  Taylor Denouden || 5|| A neural representation of sketch drawings || [https://arxiv.org/pdf/1704.03477.pdf Paper] || [Summary]
|Mar 13 ||  Taylor Denouden || 15|| A neural representation of sketch drawings || [https://arxiv.org/pdf/1704.03477.pdf Paper] || [Summary]
|-
|-
|Mar 15 ||  Zehao xu  || 6||  ||  [https://arxiv.org/pdf/1711.00043.pdf Paper] ||  
|Mar 15 ||  Zehao xu  || 16||  ||  [https://arxiv.org/pdf/1711.00043.pdf Paper] ||  
|-
|-
|Mar 15 || Prarthana Bhattacharyya || 6||  ||  ||  
|Mar 15 || Prarthana Bhattacharyya || 17||  ||  ||  
|-
|-
|Mar 15 || Changjian Li || 6|| Imagination-Augmented Agents for Deep Reinforcement Learning || [https://papers.nips.cc/paper/7152-imagination-augmented-agents-for-deep-reinforcement-learning.pdf Paper]  ||  
|Mar 15 || Changjian Li || 18|| Imagination-Augmented Agents for Deep Reinforcement Learning || [https://papers.nips.cc/paper/7152-imagination-augmented-agents-for-deep-reinforcement-learning.pdf Paper]  ||  
|-
|-
|Mar 20 || Travis Dunn  || 7|| Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ||  [https://openreview.net/pdf?id=Sk2u1g-0- Paper] || [Summary]
|Mar 20 || Travis Dunn  || 19|| Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ||  [https://openreview.net/pdf?id=Sk2u1g-0- Paper] || [Summary]
|-
|-
|Mar 20 || Sushrut Bhalla  || 20|| MaskRNN: Instance Level Video Object Segmentation || [https://papers.nips.cc/paper/6636-maskrnn-instance-level-video-object-segmentation.pdf Paper]  || [Summary]
|Mar 20 || Sushrut Bhalla  || 20|| MaskRNN: Instance Level Video Object Segmentation || [https://papers.nips.cc/paper/6636-maskrnn-instance-level-video-object-segmentation.pdf Paper]  || [Summary]
Line 69: Line 69:
|Mar 20 || Hamid Tahir || 21|| Wavelet Pooling for Convolution Neural Networks ||  [https://openreview.net/pdf?id=rkhlb8lCZ Paper] || Summary
|Mar 20 || Hamid Tahir || 21|| Wavelet Pooling for Convolution Neural Networks ||  [https://openreview.net/pdf?id=rkhlb8lCZ Paper] || Summary
|-
|-
|Mar 22 ||  Dongyang Yang|| 8|| DON’T DECAY THE LEARNING RATE, INCREASE THE BATCH SIZE || [https://arxiv.org/pdf/1711.00489.pdf Paper]  ||  
|Mar 22 ||  Dongyang Yang|| 22|| DON’T DECAY THE LEARNING RATE, INCREASE THE BATCH SIZE || [https://arxiv.org/pdf/1711.00489.pdf Paper]  ||  
|-
|-
|Mar 22 || Yao Li  || 8||Toward Multimodal Image-to-Image Translation  || [http://papers.nips.cc/paper/6650-toward-multimodal-image-to-image-translation.pdf Paper]  ||  
|Mar 22 || Yao Li  || 23||Toward Multimodal Image-to-Image Translation  || [http://papers.nips.cc/paper/6650-toward-multimodal-image-to-image-translation.pdf Paper]  ||  
|-
|-
|Mar 22 || Sahil Pereira || 24||End-to-End Differentiable Adversarial Imitation Learning|| [http://proceedings.mlr.press/v70/baram17a/baram17a.pdf Paper] || [http://proceedings.mlr.press/v70/baram17a/baram17a.pdf Summary]
|Mar 22 || Sahil Pereira || 24||End-to-End Differentiable Adversarial Imitation Learning|| [http://proceedings.mlr.press/v70/baram17a/baram17a.pdf Paper] || [http://proceedings.mlr.press/v70/baram17a/baram17a.pdf Summary]
Line 91: Line 91:
|Apr 3 || Benjamin Skikos || 32|| Training and Inference with Integers in Deep Neural Networks || [https://openreview.net/pdf?id=HJGXzmspb Paper]  ||  
|Apr 3 || Benjamin Skikos || 32|| Training and Inference with Integers in Deep Neural Networks || [https://openreview.net/pdf?id=HJGXzmspb Paper]  ||  
|-
|-
|Apr 3 ||  Weishi Chen || 11||  ||  ||  
|Apr 3 ||  Weishi Chen || 33||  ||  ||  
|-
|-

Revision as of 16:14, 13 February 2018

List of Papers

Record your contributions here [1]

Use the following notations:

P: You have written a summary/critique on the paper.

T: You had a technical contribution on a paper (excluding the paper that you present).

E: You had an editorial contribution on a paper (excluding the paper that you present).

Your feedback on presentations

Paper presentation

Date Name Paper number Title Link to the paper Link to the summary
Feb 15 (example) Ri Wang Sequence to sequence learning with neural networks. Paper Summary
Feb 27 Peter Forsyth 1 Unsupervised Machine Translation Using Monolingual Corpora Only Paper
Feb 27 Ilia Sucholutsky 2
Feb 27 3
Mar 1 4
Mar 1 wenqing liu 5
Mar 1 6
Mar 6 7
Mar 6 8
Mar 6 9
Mar 8 Alex (Xian) Wang 10 Self-Normalizing Neural Networks Paper
Mar 8 11
Mar 8 12
Mar 13 Chunshang Li 13 UNDERSTANDING IMAGE MOTION WITH GROUP REPRESENTATIONS Paper
Mar 13 Saifuddin Hitawala 14 Thinking Fast and Slow with Deep Learning and Tree Search Paper
Mar 13 Taylor Denouden 15 A neural representation of sketch drawings Paper [Summary]
Mar 15 Zehao xu 16 Paper
Mar 15 Prarthana Bhattacharyya 17
Mar 15 Changjian Li 18 Imagination-Augmented Agents for Deep Reinforcement Learning Paper
Mar 20 Travis Dunn 19 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Paper [Summary]
Mar 20 Sushrut Bhalla 20 MaskRNN: Instance Level Video Object Segmentation Paper [Summary]
Mar 20 Hamid Tahir 21 Wavelet Pooling for Convolution Neural Networks Paper Summary
Mar 22 Dongyang Yang 22 DON’T DECAY THE LEARNING RATE, INCREASE THE BATCH SIZE Paper
Mar 22 Yao Li 23 Toward Multimodal Image-to-Image Translation Paper
Mar 22 Sahil Pereira 24 End-to-End Differentiable Adversarial Imitation Learning Paper Summary
Mar 27 Jaspreet Singh Sambee 25 Gated Recurrent Convolution Neural Network for OCR Paper
Mar 27 Braden Hurl 26 Spherical CNNs Paper
Mar 27 Marko Ilievski 27 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Paper
Mar 29 Alex Pon 28 Wasserstein GAN Paper
Mar 29 Sean Walsh 29 Improved Training of Wasserstein GANs Paper
Mar 29 Jason Ku 30 MarrNet: 3D Shape Reconstruction via 2.5D Sketches Paper
Apr 3 Tong Yang 31 Dynamic Routing Between Capsules. Paper
Apr 3 Benjamin Skikos 32 Training and Inference with Integers in Deep Neural Networks Paper
Apr 3 Weishi Chen 33
Retrieved from "http://wiki.math.uwaterloo.ca/statwiki/index.php?title=stat946w18&oldid=31863"