Continuous Regularized Wasserstein Barycenters
- Lingxiao Li
- Aude Genevay
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
- Yonggan Fu
- Haoran You
- et al.
- 2020
- NeurIPS 2020
Conference paperOnline Algorithms for Multi-shop Ski Rental with Machine Learned Advice
- Shufan Wang
- Jian Li
- et al.
- 2020
- NeurIPS 2020
Conference paperAdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
- Ximeng Sun
- Rameswar Panda
- et al.
- 2020
- NeurIPS 2020
Conference paperUniversal Domain Adaptation through Self Supervision
- Kuniaki Saito
- Donghyun Kim
- et al.
- 2020
- NeurIPS 2020
Conference paperThe Lottery Ticket Hypothesis for Pre-trained BERT Networks
- Tianlong Chen
- Jonathan Frankle
- et al.
- 2020
- NeurIPS 2020
Conference paperRevisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- Minh Hoang
- Trong Nghia Hoang
- et al.
- 2020
- NeurIPS 2020
Conference paperSimulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
- Joel Dapello
- Tiago Marques
- et al.
- 2020
- NeurIPS 2020
Conference paperA Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Conference paperOptimizing Mode Connectivity via Neuron Alignment
- N. Joseph Tatro
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Conference paper