Preface

; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:i-i

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Point Cloud Overlapping Region Co-Segmentation Network

Kexue Fu, Xiaoyuan Luo, Manning Wang; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:1-13

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On Initial Pools for Deep Active Learning

Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:14-32

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Evaluating Adversarial Robustness in Simulated Cerebellum

Liu Yuezhang, Bo Li, Qifeng Chen; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:33-50

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Contrastive Self-Supervised Learning for Skeleton Action Recognition

Xuehao Gao, Yang Yang, Shaoyi Du; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:51-61

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Keypoints-aware Object Detection

Ayush Jaiswal, Simranjit Singh, Yue Wu, Pradeep Natarajan, Premkumar Natarajan; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:62-72

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Latent Neural Differential Equations for Video Generation

Cade Gordon, Natalie Parde; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:73-86

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PCA Retargeting: Encoding Linear Shape Models as Convolutional Mesh Autoencoders

Eimear O’ Sullivan, Stefanos Zafeiriou; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:87-99

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Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning

Rasmus Berg Palm, Elias Najarro, Sebastian Risi; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:100-110

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An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion

Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius Kloft; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:111-125

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SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking

Elena Burceanu; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:126-138

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Paying Attention to Video Generation

Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay Kulkarni, Shital Chiddarwar; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:139-154

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Model-Agnostic Learning to Meta-Learn

Arnout Devos, Yatin Dandi; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:155-175

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Confronting Domain Shift in Trained Neural Networks

Carianne Martinez, David A. Najera-Flores, Adam R. Brink, D. Dane Quinn, Eleni Chatzi, Stephanie Forrest; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:176-192

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Domain Conditional Predictors for Domain Adaptation

Joao Monteiro, Xavier Gibert, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:193-220

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Towards a Unified Lifelong Learning Framework

Tanner A. Bohn, Xinyu Yun, Charles X. Ling; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:221-235

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Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables

Hamid Eghbal-zadeh, Florian Henkel, Gerhard Widmer; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:236-254

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Exploring self-supervised learning techniques for hand pose estimation

Aneesh Dahiya, Adrian Spurr, Otmar Hilliges; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:255-271

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Unsupervised Resource Allocation with Graph Neural Networks

Miles Cranmer, Peter Melchior, Brian Nord; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:272-284

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Playing Atari with Hybrid Quantum-Classical Reinforcement Learning

Owen Lockwood, Mei Si; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:285-301

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FedPerf: A Practitioners’ Guide to Performance of Federated Learning Algorithms

Ajinkya Mulay, Baye Gaspard, Rakshit Naidu, Santiago Gonzalez-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:302-324

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Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:325-342

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On the Low-density Latent Regions of VAE-based Language Models

Ruizhe Li, Xutan Peng, Chenghua Lin, Wenge Rong, Zhigang Chen; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:343-357

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Decomposing camera and object motion for an improved video sequence prediction

Meenakshi Sarkar, Debasish Ghose, Aniruddha Bala; NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:358-374

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