stat946F18

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 23

Ruijie Zhang

1

TBD

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

Nov 29

Ahmed Afify

13

Don't Decay the Learning Rate, Increase the Batch Size

Paper

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