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Workshop
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Fri 11:30
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Wei-cheng Chang (CMU) on Deep Learning Approach for Extreme Multi-label Text Classification
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Poster
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Mon 18:30
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Deep Learning with Topological Signatures
Christoph Hofer · Roland Kwitt · Marc Niethammer · Andreas Uhl
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Poster
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Mon 18:30
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Context Selection for Embedding Models
Liping Liu · Francisco Ruiz · Susan Athey · David Blei
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Poster
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Wed 18:30
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Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang · Yihe Tang · Jian Wang · Jia Deng
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Poster
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Wed 18:30
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An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
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Poster
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Wed 18:30
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Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang · Mukul Gagrani · Ashutosh Nayyar · Rahul Jain
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Poster
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Mon 18:30
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Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
Yingce Xia · Fei Tian · Lijun Wu · Jianxin Lin · Tao Qin · Nenghai Yu · Tie-Yan Liu
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Workshop
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Fri 9:50
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Contributed talk: Household poverty classification in data-scarce environments: a machine learning approach
Varun Kshirsagar
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Poster
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Mon 18:30
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Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil Platanios · Hoifung Poon · Tom M Mitchell · Eric Horvitz
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Poster
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Mon 18:30
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PRUNE: Preserving Proximity and Global Ranking for Network Embedding
Yi-An Lai · Chin-Chi Hsu · Wen Hao Chen · Mi-Yen Yeh · Shou-De Lin
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Poster
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Mon 18:30
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Hash Embeddings for Efficient Word Representations
Dan Tito Svenstrup · Jonas Hansen · Ole Winther
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Poster
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Mon 18:30
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Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas
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