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Poster
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Wed 17:00 |
Mixtape: Breaking the Softmax Bottleneck Efficiently Zhilin Yang · Thang Luong · Russ Salakhutdinov · Quoc V Le |
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Poster
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Wed 17:00 |
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification Ronghui You · Zihan Zhang · Ziye Wang · Suyang Dai · Hiroshi Mamitsuka · Shanfeng Zhu |
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Poster
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Wed 10:45 |
Topology-Preserving Deep Image Segmentation Xiaoling Hu · Fuxin Li · Dimitris Samaras · Chao Chen |
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Poster
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Wed 17:00 |
Learning Disentangled Representations for Recommendation Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu |
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Poster
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Thu 17:00 |
Quantum Embedding of Knowledge for Reasoning Dinesh Garg · Shajith Ikbal Mohamed · Santosh Kumar Srivastava · Harit Vishwakarma · Hima Karanam · L Venkata Subramaniam |
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Poster
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Wed 10:45 |
Focused Quantization for Sparse CNNs Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu |
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Poster
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Tue 17:30 |
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato |
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Poster
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Wed 10:45 |
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng · Xiao Zhang · Faming Liang · Guang Lin |
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Poster
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Tue 17:30 |
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series Yulia Rubanova · Tian Qi Chen · David Duvenaud |
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Poster
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Tue 17:30 |
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction Daniel Freeman · David Ha · Luke Metz |
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Poster
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Wed 17:00 |
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel |
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Poster
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Thu 10:45 |
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li · Xiaoyong Jin · Yao Xuan · Xiyou Zhou · Wenhu Chen · Yu-Xiang Wang · Xifeng Yan |