# Difference between revisions of "stat946F18"

From statwiki

(→Paper presentation) |
(→Paper presentation) |
||

Line 14: | Line 14: | ||

|- | |- | ||

|Feb 15 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary] | |Feb 15 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary] | ||

− | |||

− | |||

|- | |- | ||

|Oct 25 || Dhruv Kumar || 1 || Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs || [https://openreview.net/pdf?id=rkRwGg-0Z Paper] || | |Oct 25 || Dhruv Kumar || 1 || Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs || [https://openreview.net/pdf?id=rkRwGg-0Z Paper] || | ||

Line 89: | Line 87: | ||

|Nov 29 ||Patrick Li || 12|| Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices || [https://www.cse.ust.hk/~huangzf/ICML18.pdf Paper] || | |Nov 29 ||Patrick Li || 12|| Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices || [https://www.cse.ust.hk/~huangzf/ICML18.pdf Paper] || | ||

|- | |- | ||

− | |Makup || Ruijie Zhang || 1 || | + | |Makup || Ruijie Zhang || 1 || Searching for Efficient Multi-Scale Architectures for Dense Image Prediction || [https://arxiv.org/pdf/1809.04184.pdf Paper]|| |

|- | |- | ||

|Makup || Ahmed Afify || 2||Don't Decay the Learning Rate, Increase the Batch Size || [https://openreview.net/pdf?id=B1Yy1BxCZ Paper] | |Makup || Ahmed Afify || 2||Don't Decay the Learning Rate, Increase the Batch Size || [https://openreview.net/pdf?id=B1Yy1BxCZ Paper] |

## Revision as of 13:42, 11 October 2018

## Project Proposal

# 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 | |

Oct 25 | Dhruv Kumar | 1 | Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs | Paper | |

Oct 25 | Shala Chen | 2 | |||

Oct 25 | Juan Carrillo | 3 | Hierarchical Representations for Efficient Architecture Search | Paper | |

Oct 30 | Manpreet Singh Minhas | 1 | |||

Oct 30 | Marvin Pafla | 2 | |||

Oct 30 | Glen Chalatov | 3 | TBD | ||

Oct 30 | Gaurav Sahu | 4 | TBD | ||

Nov 1 | Sriram Ganapathi Subramanian | 1 | Differentiable plasticity: training plastic neural networks with backpropagation | Paper | |

Nov 1 | Hadi Nekoei | 1 | Synthesizing Programs for Images using Reinforced Adversarial Learning | Paper | |

Nov 1 | Henry Chen | 1 | DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks | Paper | |

Nov 1 | Amirpasha Ghabussi | 1 | |||

Nov 6 | Nargess Heydari | 2 | |||

Nov 6 | Aravind Ravi | 3 | |||

Nov 6 | Ronald Feng | ||||

Nov 8 | Neel Bhatt | 1 | [TBD] | ||

Nov 8 | Jacob Manuel | 2 | |||

Nov 8 | Charupriya Sharma | 2 | |||

NOv 13 | Sagar Rajendran | 1 | Zero-Shot Visual Imitation | Paper | |

Nov 13 | Jiazhen Chen | 2 | |||

Nov 13 | Neil Budnarain | 2 | PixelNN: Example-Based Image Synthesis | Paper | |

NOv 15 | Zheng Ma | 3 | Reinforcement Learning of Theorem Proving | Paper | |

Nov 15 | Abdul Khader Naik | 4 | |||

Nov 15 | Johra Muhammad Moosa | 2 | Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin | Paper | |

Nov 20 | Ki Beom Lee | ||||

NOv 20 | Zahra Rezapour Siahgourabi | 1 | |||

Nov 20 | Shubham Koundinya | 6 | |||

Nov 20 | Salman Khan | Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples | paper | ||

NOv 22 | Soroush Ameli | 3 | Learning to Navigate in Cities Without a Map | paper | |

Nov 22 | Ivan Li | 23 | Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate | Paper | |

Nov 22 | Sigeng Chen | 2 | |||

Nov 27 | Aileen Li | 8 | Spatially Transformed Adversarial Examples | Paper | |

NOv 27 | Xudong Peng | 9 | |||

Nov 27 | Xinyue Zhang | 10 | An Inference-Based Policy Gradient Method for Learning Options | Paper | |

NOv 29 | Junyi Zhang | 11 | |||

Nov 29 | Travis Bender | 12 | Automatic Goal Generation for Reinforcement Learning Agents | Paper | |

Nov 29 | Patrick Li | 12 | Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices | Paper | |

Makup | Ruijie Zhang | 1 | Searching for Efficient Multi-Scale Architectures for Dense Image Prediction | Paper | |

Makup | Ahmed Afify | 2 | Don't Decay the Learning Rate, Increase the Batch Size | Paper | |

Makup | |||||

Makup | |||||

Makup | |||||

Makup |