Machine Learning Discussion Group
The Machine Learning Discussion Group (MLDG) is an informal group for discussing the latest work in the field of Machine Learning. We usually discuss a paper from a recent conference (NIPS, ICML, etc) each meeting.
The organizers are Sarah Tan and Ashudeep Singh. This semester (Fall 2017) we meet on Wednesdays (5.30 - 6.30 pm) in Gates 416 (Ithaca) and Bloomberg 398 (Cornell Tech, New York City).
Schedule of papers
Feel free to volunteer for any available week! Send an email to ht395 [at] cornell.edu and as3354 [at] cornell.edu.
|Date||Discussion Leader||Topic, Paper links||Area||Other activities and Deadlines|
|30 Aug, 2017||Organizational Meeting|
|6 Sept, 2017||Wesley||YellowFin and the Art of Momentum Tuning and On the importance of initialization and momentum in deep learning||Deep Learning||Sep 7 - 11 EMNLP conference, Sep 8 - AAAI deadline|
|13 Sept, 2017||James||Deep Learning for Identifying Metastatic Breast Cancer||Deep Learning|
|20 Sept, 2017||Dieqiao||Neural Turing Machines||Deep Learning||Sep 21 - Colloquium Speaker: Chris Re, Stanford|
|27 Sept, 2017||Luke and Eric||Recurrent Convolutional Network for Video-based Person Re-Identification||Deep Learning|
|4 October, 2017||Dipendra||Value Iteration Networks||Reinforcement Learning|
|11 October, 2017||Alane||From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood||Reinforcement Learning/NLP||Oct 13 - AISTATS deadline, Oct 13 - AI Seminar Speaker: Andrew McCallum, UMass Amherst|
|18 October, 2017||Andrew||Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback||Reinforcement Learning/NLP||Oct 19 - Colloquium Speaker: Tom Kalil, Office of Science and Tech Policy|
|25 October, 2017||Arzoo||Automatic Rule Extraction from Long Short Term Memory Networks||NLP||Oct 26 - WWW deadline, Oct 27- ICLR deadline|
|1 Nov, 2017||Ashudeep||The Mythos of Model Interpretability and Understanding Black-box Predictions via Influence Functions||Fairness and Transparency in ML|
|8 Nov, 2017||Sarah||Interpretation of Neural Networks is Fragile and Feature Visualization: How neural networks build up their understanding of images||Fairness and Transparency in ML|
|15 Nov, 2017||Angela||Learning Cost-Effective Treatment Regimes using Markov Decision Processes||Fairness and Transparency in ML||Nov 15 - CVPR deadline|
|22 Nov, 2017||Thanksgiving||Nov 30 - Colloquium Speaker: Scott Aaronson, UT Austin|
|29 Nov, 2017||Ayush||The Landscape of Empirical Risk for Non-convex Losses||Theory||Dec 4-9 NIPS conference|
Who attends the MLDG?
The group is mainly attended by graduate students and undergraduate students actively interested in the area of machine learning. Professors are also welcome. Beginning of every semester, we meet to discuss areas of interests to each of the people attending and decide on a few themes for the semester. Suggestions for topics or papers to discuss may be sent to the mailing list and are always welcome.
How do I join the mailing list?
You can join the list by sending an email with subject "join" (no quotes) to email@example.com.
How do I get involved in MLDG?
Stop by and check us out any week! You can find our meeting time and location at the top of this page. Also, if you have anything interesting to share or announce, you can use the mldg mailing list, firstname.lastname@example.org.
Archive of previous MLDG pages
- Machine Learning Discussion Group Spring 2017
- Machine Learning Discussion Group Fall 2016
- Machine Learning Discussion Group Spring 2016
- Machine Learning Discussion Group Fall 2015
- Machine Learning Discussion Group Spring 2015
- Machine Learning Discussion Group Fall 2014
- Machine Learning Discussion Group Fall 2012 - Fall 2013
- Machine Learning Discussion Group Spring 2012
- Machine Learning Discussion Group Fall 2011
- Machine Learning Discussion Group Spring 2011
- Machine Learning Discussion Group Fall 2010