VT Computer Vision and Machine Learning Reading Group
Usual Time: Thursdays, 2:00PM - 4:00PM
Usual Location: Whittemore Hall 654

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Announcements

  • For the Summer semester (starting 06/09), we will be meeting at 2:00pm in Whittemore Hall 654.
  • 2016 Schedule

    Jump to next talk
    (the highlighted row)
    Date Location Presenter Description
    2016-01-29 N/A N/A N/A
    2016-02-05 Whittemore Hall 654 Jiasen Lu Generating Images from Captions with Attention
    Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov. ICLR 2016.
    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
    Alec Radford, Luke Metz, Soumith Chintala. ICLR 2016.
    2016-02-12 Whittemore Hall 654 Arjun Chandrasekaran Convergent Learning: Do different neural networks learn the same representations
    Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft. ICLR 2016.
    2016-02-19 Whittemore Hall 654 Jianwei Yang Spatial Transformer Networks
    Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu. NIPS 2015.
    2016-02-26 N/A N/A Meeting canceled.
    2016-03-04 N/A N/A No meeting because of ECCV 2016 deadline.
    2016-03-11 N/A N/A No meeting because of Spring Break.
    2016-03-18 Whittemore Hall 654 Yash Goyal Deep Compositional Question Answering with Neural Module Networks
    Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein. CVPR 2016.
    Learning to Compose Neural Networks for Question Answering
    Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein. NAACL 2016.
    2016-03-25 N/A N/A No meeting because Devi and Dhruv are traveling.
    2016-04-01 N/A N/A No meeting because Devi is traveling.
    2016-04-08 N/A N/A No meeting because Devi and Dhruv are traveling.
    2016-04-15 N/A N/A No meeting because Devi and Dhruv need to attend a department event.
    2016-04-22 Whittemore Hall 654 Abhishek Das Deep Residual Learning for Image Recognition
    Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. arXiv 2016.
    Identity Mappings in Deep Residual Networks
    Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. arXiv 2016.
    2016-04-29 Whittemore Hall 654 Xiao Lin A Review of Relational Machine Learning for Knowledge Graphs
    Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. arXiv 2015.
    2016-05-06 N/A N/A No meeting because of MACV 2016.
    2016-06-09 Whittemore 654 Ram Prasaath Selvaraju Generative Adversarial Networks
    Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. NIPS 2014.
    Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
    Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus. NIPS 2015.
    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
    Alec Radford, Luke Metz, Soumith Chintala. arXiv 2016.
    Generative Adversarial Text to Image Synthesis
    Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee. ICML 2016.
    2016-06-16 Whittemore 654 Ram Prasaath Selvaraju Generative Adversarial Networks
    Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. NIPS 2014.
    Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
    Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus. NIPS 2015.
    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
    Alec Radford, Luke Metz, Soumith Chintala. arXiv 2016.
    Generative Adversarial Text to Image Synthesis
    Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee. ICML 2016.
    2016-06-23 N/A N/A No meeting
    2016-06-30 N/A N/A No meeting because of CVPR 2016 .
    2016-07-07 N/A N/A No meeting
    2016-07-14 Whittemore 654 Ashwin Kalyan TBA
    2016-07-21 Whittemore 654 Viresh Ranjan TBA

    Suggested Papers

    Below we have included some papers/pointers for people that are not able to find something that they would like to share.

    You can check out what some other reading groups at other universities are reading (see Related Links).
    TechTalks has some oral presentations from conferences, e.g., CVPR 2015, AAAI 2015, ACL 2015, NAACL 2015, CoNNL 2015.
    VideoLectures also has some oral presentations from conferences, e.g., ECCV 2014. Others might be posted on YouTube, e.g., ICLR 2015.

  • Deep Neural Decision Forests. P. Kontschieder, M. Fiterau, A. Criminisi, S.R. Bulo. ICCV 2015.
  • Deep Residual Learning for Image Recognition. K. He, X. Zhang, S. Ren, J. Sun. arXiv 2015.
  • Training Very Deep Networks. R. Srivastava, K. Greff, J. Schmidhuber. NIPS 2015.
  • Meetings in Previous Years

    Related Links

    FAQ

    1. How is the presenters' order generated?
    The presenters' order is generated from the presenters' list in a FIFO manner (but the list is initially generated randomly).

    2. Who is responsible if I can not present at the scheduled time?
    Yourself.

    3. What should I do if I can not present at the scheduled time?
    As early as possible, let the group organizer (zhangp -at- vt.edu) know about your situation. Also contact other presenters to see if they are willing to swap dates with you.

    4. I have a question not listed here...
    Then ask by sending an e-mail to the mailing list (cvmlreadinggroup-g -at- vt.edu).