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Poster
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Mon 17:00
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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
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Workshop
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Fri 11:40
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Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick
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Poster
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Wed 9:00
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Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter
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Poster
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Thu 17:00
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Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann · John Thangarajah
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Poster
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Thu 9:00
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Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
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Workshop
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Fri 5:15
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Geometric Deep Learning
Fernando Gama
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Poster
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Thu 17:00
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Neural Thompson Sampling
Weitong ZHANG · Dongruo Zhou · Lihong Li · Quanquan Gu
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Workshop
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Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li
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Workshop
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Towards Causal Federated Learning - For enhanced robustness and privacy
Sreya Francis
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Workshop
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Fri 11:00
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Keynote 6: Liangwei Ge. Title: Deep learning challenges and how Intel is addressing them
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Workshop
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Fri 11:52
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DeepSMOTE: Deep Learning for Imbalanced Data
Bartosz Krawczyk
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Poster
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Wed 9:00
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Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
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