Papers

2,737 papers found
Fair Algorithms for Clustering
Suman Bera, Deeparnab Chakrabarty, Nicolas Flores et al.
2019 NIPS
Debugging Tests for Model Explanations
Julius Adebayo, Michael Muelly, Ilaria Liccardi et al.
2020 NIPS
Coresets for Near-Convex Functions
Murad Tukan, Alaa Maalouf, Dan Feldman
2020 NIPS
Ode to an ODE
Krzysztof M Choromanski, Jared Quincy Davis, Valerii Likhosherstov et al.
2020 NIPS
Learning Loss for Test-Time Augmentation
Ildoo Kim, Younghoon Kim, Sungwoong Kim
2020 NIPS
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta et al.
2020 NIPS
Parabolic Approximation Line Search for DNNs
Maximus Mutschler, Andreas Zell
2020 NIPS
Gradient Surgery for Multi-Task Learning
Tianhe Yu, Saurabh Kumar, Abhishek Gupta et al.
2020 NIPS
Training Stronger Baselines for Learning to Optimize
Tianlong Chen, Weiyi Zhang, Zhou Jingyang et al.
2020 NIPS
Geometric Exploration for Online Control
Orestis Plevrakis, Elad Hazan
2020 NIPS
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak, Scott Jordan, Georgios Theocharous et al.
2020 NIPS
Listening to Sounds of Silence for Speech Denoising
Ruilin Xu, Rundi Wu, Yuko Ishiwaka et al.
2020 NIPS
Inference for Batched Bandits
Kelly Zhang, Lucas Janson, Susan Murphy
2020 NIPS
Fine-Grained Dynamic Head for Object Detection
Lin Song, Yanwei Li, Zhengkai Jiang et al.
2020 NIPS
Proximal Mapping for Deep Regularization
Mao Li, Yingyi Ma, Xinhua Zhang
2020 NIPS
Neural Topographic Factor Analysis for fMRI Data
Eli Sennesh, Zulqarnain Khan, Yiyu Wang et al.
2020 NIPS
Non-parametric Models for Non-negative Functions
Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2020 NIPS
Instance Selection for GANs
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020 NIPS
Neurosymbolic Transformers for Multi-Agent Communication
Jeevana Priya Inala, Yichen Yang, James Paulos et al.
2020 NIPS
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi et al.
2020 NIPS
The Strong Screening Rule for SLOPE
Johan Larsson, Malgorzata Bogdan, Jonas Wallin
2020 NIPS
A kernel test for quasi-independence
Tamara Fernandez, Wenkai Xu, Marc Ditzhaus et al.
2020 NIPS
Calibrating CNNs for Lifelong Learning
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder et al.
2020 NIPS
The Discrete Gaussian for Differential Privacy
Clément L Canonne, Gautam Kamath, Thomas Steinke
2020 NIPS