Papers
11,951 papers found
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang, Mateja Jamnik, Pietro Lio
A Causal View on Robustness of Neural Networks
Cheng Zhang, Kun Zhang, Yingzhen Li
Accelerating SGD with momentum for over-parameterized learning
Chaoyue Liu, Mikhail Belkin
A Closer Look at Deep Policy Gradients
Andrew Ilyas, Logan Engstrom, Shibani Santurkar et al.
A closer look at the approximation capabilities of neural networks
Kai Fong Ernest Chong
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi et al.
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov et al.
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng, Guang Lin, Faming Liang
A Corrective View of Neural Networks: Representation, Memorization and Learning
Guy Bresler, Dheeraj Nagaraj
A critical analysis of self-supervision, or what we can learn from a single image
Asano YM., Rupprecht C., Vedaldi A.
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
Weixun Wang, Tianpei Yang, Yong Liu et al.
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Zuyue Fu, Zhuoran Yang, Yongxin Chen et al.
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.