Papers
Abstraction based Output Range Analysis for Neural Networks
Pavithra Prabhakar, Zahra Rahimi Afzal
Abstract Reasoning with Distracting Features
Kecheng Zheng, Zheng-Jun Zha, Wei Wei
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
Ashia C Wilson, Lester Mackey, Andre Wibisono
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Bin Shi, Simon S Du, Weijie Su et al.
Accurate Layerwise Interpretable Competence Estimation
Vickram Rajendran, William LeVine
Accurate, reliable and fast robustness evaluation
Wieland Brendel, Jonas Rauber, Matthias Kümmerer et al.
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Jeremiah Liu, John Paisley, Marianthi-Anna Kioumourtzoglou et al.
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan, Rajeev Alur, Osbert Bastani
A Condition Number for Joint Optimization of Cycle-Consistent Networks
Leonidas Guibas, Qixing Huang, Zhenxiao Liang
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman, Greg Yang, Huan Zhang et al.
A coupled autoencoder approach for multi-modal analysis of cell types
Rohan Gala, Nathan Gouwens, Zizhen Yao et al.
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David Blei, Victor Veitch
Adaptive Auxiliary Task Weighting for Reinforcement Learning
Xingyu Lin, Harjatin Baweja, George Kantor et al.
Adaptive Cross-Modal Few-shot Learning
Chen Xing, Negar Rostamzadeh, Boris Oreshkin et al.
Adaptive Density Estimation for Generative Models
Thomas Lucas, Konstantin Shmelkov, Karteek Alahari et al.
Adaptive GNN for Image Analysis and Editing
Lingyu Liang, LianWen Jin, Yong Xu
Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak, Maria-Florina F Balcan, Ameet S Talwalkar
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Adaptively Aligned Image Captioning via Adaptive Attention Time
Lun Huang, Wenmin Wang, Yaxian Xia et al.
Adaptive Sequence Submodularity
Marko Mitrovic, Ehsan Kazemi, Moran Feldman et al.
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Carlos Riquelme, Hugo Penedones, Damien Vincent et al.
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Jinjin Tian, Aaditya Ramdas
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière, Nicolas THOME, Avner Bar-Hen et al.
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Himanshu Sahni, Toby Buckley, Pieter Abbeel et al.