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Poster
Tue 18:30 Training Deep Networks without Learning Rates Through Coin Betting
Francesco Orabona · Tatiana Tommasi
Poster
Mon 18:30 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
Nanyang Ye · Zhanxing Zhu · Rafal Mantiuk
Workshop
Sat 14:00 Deep Abstract Q-Networks (Melrose Roderick)
Melrose Roderick
Poster
Tue 18:30 Riemannian approach to batch normalization
Minhyung Cho · Jaehyung Lee
Poster
Tue 18:30 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
Poster
Mon 18:30 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
Eirikur Agustsson · Fabian Mentzer · Michael Tschannen · Lukas Cavigelli · Radu Timofte · Luca Benini · Luc V Gool
Workshop
Fri 16:15 Towards Verification of Deep Neural Networks
Clark Barrett
Poster
Wed 18:30 Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen · Antti Hyttinen · Matti Järvisalo
Poster
Wed 18:30 Linear Time Computation of Moments in Sum-Product Networks
Han Zhao · Geoffrey Gordon
Poster
Tue 18:30 Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
Prateep Bhattacharjee · Sukhendu Das
Poster
Mon 18:30 A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
Poster
Mon 18:30 The Importance of Communities for Learning to Influence
Eric Balkanski · Nicole Immorlica · Yaron Singer