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Papers

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3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
Benjamin Biggs, David Novotny, Sebastien Ehrhardt et al.
2020 NIPS
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz et al.
2020 NIPS
3D Shape Reconstruction from Vision and Touch
Edward Smith, Roberto Calandra, Adriana Romero et al.
2020 NIPS
A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż, Marcin Kurdziel, Mateusz Opala
2020 NIPS
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Robin Ru et al.
2020 NIPS
2020 NIPS
A Biologically Plausible Neural Network for Slow Feature Analysis
David Lipshutz, Charles Windolf, Siavash Golkar et al.
2020 NIPS
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse, Steven James, Benjamin Rosman
2020 NIPS
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy, Kinjal Basu, Shaunak Chatterjee et al.
2020 NIPS
A Catalyst Framework for Minimax Optimization
Junchi Yang, Siqi Zhang, Negar Kiyavash et al.
2020 NIPS
A causal view of compositional zero-shot recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit et al.
2020 NIPS
A Causal View on Robustness of Neural Networks
Cheng Zhang, Kun Zhang, Yingzhen Li
2020 NIPS
Acceleration with a Ball Optimization Oracle
Yair Carmon, Arun Jambulapati, Qijia Jiang et al.
2020 NIPS
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano, Stephen Bates, Emmanuel Candes
2020 NIPS
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus, Matt J Kusner, Ricardo Silva
2020 NIPS
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang et al.
2020 NIPS
A Closer Look at the Training Strategy for Modern Meta-Learning
JIAXIN CHEN, Xiao-Ming Wu, Yanke Li et al.
2020 NIPS
A Combinatorial Perspective on Transfer Learning
Jianan Wang, Eren Sezener, David Budden et al.
2020 NIPS