{"id":571356,"date":"2019-03-06T07:08:40","date_gmt":"2019-03-06T15:08:40","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=571356"},"modified":"2019-06-06T09:29:46","modified_gmt":"2019-06-06T16:29:46","slug":"iclr-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/iclr-2019\/","title":{"rendered":"Microsoft @ ICLR 2019"},"content":{"rendered":"

Venue:<\/strong> Ernest N. Morial Convention Center (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> ICLR 2019 (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations May 6\u20139, 2019, in New Orleans, Louisiana. We will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.<\/p>\n","protected":false},"featured_media":571890,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-05-06","msr_enddate":"2019-05-09","msr_location":"New Orleans, Louisiana, USA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"https:\/\/iclr.cc\/Register\/view-registration","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-571356","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"Venue:<\/strong> Ernest N. Morial Convention Center<\/a>\r\n\r\nWebsite:<\/strong> ICLR 2019<\/a>","tab-content":[{"id":0,"name":"About","content":"Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations<\/a> May 6\u20139, 2019, in New Orleans, Louisiana.\r\n\r\nWe will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities<\/a> with Microsoft.\r\n

Microsoft Attendees<\/h3>\r\nAbhishek Gupta\r\nAdam Trischler<\/a>\r\nAlessandro Sordoni\r\nAlex Polozov<\/a>\r\nAli Alvi\r\nAndrey Kolobov\r\nAnlei Dong\r\nBardia Beigi\r\nBin Dai\r\nChenyan Xiong\r\nChristopher Bishop<\/a>\r\nDaniel McDuff<\/a>\r\nDavid Wipf<\/a>\r\nDebadeepta Dey\r\nDevin Gunson\r\nEric Yuan<\/a>\r\nGanga Venkatasubramanian\r\nGeoffrey Gordon<\/a>\r\nGreg Yang<\/a>\r\nGuoqing Zheng\r\nHadi Salman\r\nIgor Gitman\r\nKatja Hofmann<\/a>\r\nMarc Brockschmidt<\/a>\r\nMikael Henaff<\/a>\r\nMiltiadis Allamanis<\/a>\r\nNebojsa Jojic<\/a>\r\nNuo Wang Pierse\r\nPatrick Fernandes\r\nPatty Ryan\r\nPaul Mineiro\r\nPaul Smolensky\r\nPhilip Bachman<\/a>\r\nQi Meng\r\nR Devon Hjelm\r\nRadhakrishnan Srikanth\r\nRangan Majumder\r\nRemi Tachet des Combes\r\nRick Calle\r\nRoger Cheng\r\nRoland Fernandez\r\nSaeed Amizadeh\r\nSameera Lanka\r\nSamir Kumar\r\nSaurabh Tiwary\r\nSergiy Matusevych\r\nShehzaad Dhuliawala\r\nSiddharth Kumar\r\nSungjin Lee\r\nTao Qin<\/a>\r\nTsendsuren Munkhdalai\r\nUrszula Chajewska\r\nVibhav Vineet\r\nVincent Etter\r\nXiaojian Wu\r\nYale Song<\/a>\r\nYi Mao\r\nYihe Dong\r\nYingce Xia\r\nYizhe Zhang\r\n

Invited Speaker<\/h3>\r\nMonday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD\r\nCynthia Dwork<\/a>"},{"id":1,"name":"Accepted Posters","content":"

Tuesday, May 7, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes<\/h4>\r\n

Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang<\/a>, Daniel Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein<\/p>\r\n\r\n

DPSNet: End-to-end Deep Plane Sweep Stereo<\/h4>\r\n

Sunghoon Im, Hae-Gon Jeon, Stephen Lin<\/a>, In Kweon<\/p>\r\n\r\n

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic<\/h4>\r\n

Mikael Henaff<\/a>, Alfredo Canziani, Yann LeCun<\/p>\r\n \r\n

Tuesday, May 7, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

Deep Graph Infomax<\/h4>\r\n

Petar Veli\u010dkovi\u0107, William Fedus, William L Hamilton, Pietro Lio, Yoshua Bengio, R Devon Hjelm<\/a><\/p>\r\n\r\n

Generative Code Modeling with Graphs<\/h4>\r\n

Marc Brockschmidt<\/a>, Miltiadis Allamanis<\/a>, Alexander Gaunt, Oleksandr Polozov<\/a><\/p>\r\n\r\n

Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach<\/h4>\r\n

Saeed Amizadeh<\/strong>, Sergiy Matusevych<\/strong>, Markus Weimer<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

An Empirical Study of Example Forgetting during Deep Neural Network Learning<\/h4>\r\n

Mariya Toneva, Alessandro Sordoni<\/strong>, Remi Tachet des Combes<\/strong>, Adam Trischler<\/a>, Yoshua Bengio, Geoffrey Gordon<\/a><\/p>\r\n\r\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\r\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner<\/strong>, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\r\n\r\n

Episodic Curiosity through Reachability<\/h4>\r\n

Nikolay Savinov, Anton Raichuk, Damien Vincent, Rapha\u00ebl Marinier, Marc Pollefeys<\/a>, Timothy Lillicrap, Sylvain Gelly<\/p>\r\n\r\n

Learning deep representations by mutual information estimation and maximization<\/h4>\r\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\r\n\r\n

Learning a SAT Solver from Single-Bit Supervision<\/h4>\r\n

Daniel Selsam, Matthew Lamm; Benedikt Bunz, Percy Liang, Leonardo de Moura<\/strong>, David L. Dill<\/p>\r\n\r\n

Visceral Machines: Reinforcement Learning with Intrinsic Physiological Rewards<\/h4>\r\n

Daniel McDuff<\/a>, Ashish Kapoor<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

A Mean Field Theory of Batch Normalization<\/h4>\r\n

Greg Yang<\/a>, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S Schoenholz<\/p>\r\n\r\n

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space<\/h4>\r\n

Qi Meng<\/strong>, Shuxin Zheng, Huishuai Zhang<\/strong>, Wei Chen<\/strong>, Qiwei Ye<\/a>, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu<\/a><\/p>\r\n\r\n

SGD Converges to Global Minimum in Deep Learning via Star-convex Path<\/h4>\r\n

Yi Zhou, Junjie Yang, Huishuai Zhang<\/strong>, Yingbin Liang, Vahid Tarokh<\/p>\r\n \r\n

Thursday, May 9, 2019 | 11:00 AM\u20131:00 PM | Great Hall BC<\/h3>\r\n

Improving Sequence-to-Sequence Learning via Optimal Transport<\/h4>\r\n

Liqun Chen, Yizhe Zhang<\/strong>, Ruiyi Zhang, Chenyang Tao, Zhe Gan<\/strong>, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin<\/p>\r\n\r\n

Multi-Agent Dual Learning<\/h4>\r\n

Yiren Wang, Yingce Xia<\/a>, Tianyu He, Fei Tian<\/a>, Tao Qin<\/a>, ChengXiang Zhai, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Multilingual Neural Machine Translation with Knowledge Distillation<\/h4>\r\n

Xu Tan<\/a>, Yi Ren, Di He<\/strong>, Tao Qin<\/a>, Zhou Zhao, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Neural TTS Stylization with Adversarial and Collaborative Games<\/h4>\r\n

Shuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\r\n\r\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\r\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\r\n\r\n

Representation Degeneration Problem in Training Natural Language Generation Models<\/h4>\r\n

Jun Gao, Di He<\/strong>, Xu Tan<\/a>, Tao Qin<\/a>, Liwei Wang, Tie-Yan Liu<\/a><\/p>\r\n\r\n

Structured Neural Summarization<\/h4>\r\n

Patrick Fernandes<\/strong>, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a><\/p>\r\n\r\n

RNNs implicitly implement tensor-product representations<\/h4>\r\n

Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky<\/strong><\/p>\r\n\r\n

Learning to Represent Edits<\/h4>\r\n

Pengcheng Yin, Graham Neubig, Miltiadis Allamanis<\/a>, Marc Brockschmidt<\/a>, Alexander Gaunt<\/p>\r\n \r\n

Thursday, May 9, 2019 | 4:30 PM\u20136:30 PM | Great Hall BC<\/h3>\r\n

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension<\/h4>\r\n

Rajarshi Das, Tsendsuren Munkhdalai<\/a>, Eric Yuan<\/a>, Adam Trischler<\/a>, Andrew McCallum<\/p>\r\n\r\n

Diagnosing and Enhancing VAE Models<\/h4>\r\n

Bin Dai<\/strong>, David Wipf<\/a><\/p>\r\n\r\n

Label super-resolution networks<\/h4>\r\n

Nikolay Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa<\/a>, Nebojsa Jojic<\/a><\/p>\r\n "},{"id":2,"name":"Presentations","content":"

Monday, May 6, 2019 | 9:00 AM\u20139:45 AM | Great Hall AD<\/h3>\r\n

Invited Talk<\/h4>\r\n

Cynthia Dwork<\/a><\/p>\r\n \r\n

Wednesday, May 8, 2019 | 9:45 AM\u201310:00 AM | Great Hall<\/h3>\r\n

Learning deep representations by mutual information estimation and maximization<\/h4>\r\n

R Devon Hjelm<\/a>, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman<\/a>, Adam Trischler<\/a>, Yoshua Bengio<\/p>\r\n \r\n

Wednesday, May 8, 2019 | 10:15 AM\u201310:30 AM | Great Hall<\/h3>\r\n

Deterministic Variational Inference for Robust Bayesian Neural Networks<\/h4>\r\n

Anqi Wu, Sebastian Nowozin, Ted Meeds<\/a>, Richard E Turner, Jos\u00e9 Miguel Hern\u00e1ndez Lobato<\/strong>, Alexander Gaunt<\/p>\r\n \r\n

Thursday, May 9, 2019 | 10:30 AM\u201310:45 AM | Great Hall<\/h3>\r\n

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks<\/h4>\r\n

Yikang Shen, Shawn Tan, Alessandro Sordoni<\/strong>, Aaron Courville<\/p>\r\n "},{"id":3,"name":"Workshop","content":"

Debugging Machine Learning Models<\/a>\r\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R01<\/h4>\r\n

Julius Adebayo, Himabindu Lakkaraju, Sarah Tan, Rich Caruana<\/a>, D. Sculley, Jacob Steinhardt<\/p>\r\n\r\n

AI for Social Good<\/a>\r\nMonday, May 6 | 9:45 AM \u2013 6:30 PM | Room R05<\/h4>\r\n

Abhishek Gupta<\/strong><\/p>"}],"msr_startdate":"2019-05-06","msr_enddate":"2019-05-09","msr_event_time":"","msr_location":"New Orleans, Louisiana, USA","msr_event_link":"https:\/\/iclr.cc\/Register\/view-registration","msr_event_recording_link":"","msr_startdate_formatted":"May 6, 2019","msr_register_text":"Watch now","msr_cta_link":"https:\/\/iclr.cc\/Register\/view-registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"\"New","event_excerpt":"Microsoft is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations May 6\u20139, 2019, in New Orleans, Louisiana. We will have over 60 researchers present at ICLR. Stop by our booth (#205) to chat with our experts, see demos of our latest research and find out about career opportunities with Microsoft.","msr_research_lab":[199560,199561,199565,437514],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[584533,574716,581509,580846,580858,577473,565332,589525],"related-videos":[],"related-posts":[579955,581803,582940],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356\/revisions"}],"predecessor-version":[{"id":586306,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/571356\/revisions\/586306"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/571890"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=571356"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=571356"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=571356"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=571356"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=571356"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=571356"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=571356"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=571356"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=571356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}