Papers
11,015 papers found
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
Xinjie Fan, Yizhe Zhang, Zhendong Wang et al.
Adaptive Structural Fingerprints for Graph Attention Networks
Kai Zhang, Yaokang Zhu, Jun Wang et al.
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Yuhang Li, Xin Dong, Wei Wang
Adjustable Real-time Style Transfer
Mohammad Babaeizadeh, Golnaz Ghiasi
AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing
Xingzhe He, Helen Lu Cao, Bo Zhu
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang et al.
Adversarial Lipschitz Regularization
Dávid Terjék
Adversarially Robust Representations with Smooth Encoders
Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham et al.
Adversarially robust transfer learning
Ali Shafahi, Parsa Saadatpanah, Chen Zhu et al.
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael Dennis, Cody Wild et al.
Adversarial Training and Provable Defenses: Bridging the Gap
Mislav Balunovic, Martin Vechev
AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT
Dongsheng An, Yang Guo, Na Lei et al.
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica, Marco Podda, Davide Bacciu et al.
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle et al.
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
Greg Ongie, Rebecca Willett, Daniel Soudry et al.
A Generalized Training Approach for Multiagent Learning
Paul Muller, Shayegan Omidshafiei, Mark Rowland et al.
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Duygu Ataman, Wilker Aziz, Alexandra Birch
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman et al.
A Learning-based Iterative Method for Solving Vehicle Routing Problems
Hao Lu, Xingwen Zhang, Shuang Yang
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman et al.
AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin et al.
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu et al.
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock, Armand Joulin, Rémi Gribonval et al.
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee, Junsoo Ha, Dongsu Zhang et al.