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Poster
Wed 17:00 Mixtape: Breaking the Softmax Bottleneck Efficiently
Zhilin Yang · Thang Luong · Russ Salakhutdinov · Quoc V Le
Poster
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
Poster
Wed 10:45 Topology-Preserving Deep Image Segmentation
Xiaoling Hu · Fuxin Li · Dimitris Samaras · Chao Chen
Poster
Wed 17:00 Learning Disentangled Representations for Recommendation
Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu
Poster
Thu 17:00 Quantum Embedding of Knowledge for Reasoning
Dinesh Garg · Shajith Ikbal Mohamed · Santosh Kumar Srivastava · Harit Vishwakarma · Hima Karanam · L Venkata Subramaniam
Poster
Wed 10:45 Focused Quantization for Sparse CNNs
Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu
Poster
Tue 17:30 Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato
Poster
Wed 10:45 An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
Poster
Tue 17:30 Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Yulia Rubanova · Tian Qi Chen · David Duvenaud
Poster
Tue 17:30 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman · David Ha · Luke Metz
Poster
Wed 17:00 Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel
Poster
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