Processing math: 100%
Skip to yearly menu bar Skip to main content


Search All 2020 Events
 

77 Results

<<   <   Page 6 of 7   >   >>
Poster
Thu 6:00 Deep Reinforcement Learning with Smooth Policy
Qianli Shen · Yan Li · Haoming Jiang · Zhaoran Wang · Tuo Zhao
Poster
Thu 6:00 How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay · Joern-Henrik Jacobsen · Levon Nurbekyan · Adam Oberman
Poster
Wed 5:00 Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu · Xiaojun Mao · Ka Wai Wong
Poster
Wed 5:00 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han · Gang Niu · Xingrui Yu · QUANMING YAO · Miao Xu · Ivor Tsang · Masashi Sugiyama
Poster
Thu 7:00 Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie · Tero Karras · Animesh Garg · Shoubhik Debnath · Anjul Patney · Ankit Patel · Anima Anandkumar
Poster
Tue 7:00 Searching to Exploit Memorization Effect in Learning with Noisy Labels
QUANMING YAO · Hansi Yang · Bo Han · Gang Niu · James Kwok
Poster
Tue 7:00 Faster Graph Embeddings via Coarsening
Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang
Poster
Thu 12:00 PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang · Yao Zhao · Mohammad Saleh · Peter Liu
Poster
Wed 12:00 Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar · Paul Mayer · Lorenzo Luzi · Richard Baraniuk
Poster
Tue 8:00 Near-optimal sample complexity bounds for learning Latent kpolytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Thu 6:00 Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li · David Woodruff
Poster
Thu 8:00 Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv · Miao Xu · LEI FENG · Gang Niu · Xin Geng · Masashi Sugiyama