Fast Fourier Convolution

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27
1. Verfasser: Chi, Lu (VerfasserIn)
Weitere Verfasser: Jiang, Borui (VerfasserIn), Mu, Yadong (VerfasserIn)
Pages:34
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Sequential Bayesian Experimental Design with Variable Cost Structure 2021 Zheng, Sue
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing 2021 Dai, Zihang
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation 2021 Jalalzai, Hamid
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards 2021 Guo, Yijie
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models 2021 Chenthamarakshan, Vijil
PAC-Bayes Learning Bounds for Sample-Dependent Priors 2021 Awasthi, Pranjal
Influence-Augmented Online Planning for Complex Environments 2021 He, Jinke
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning 2021 Li, Pan
Bayesian Deep Learning and a Probabilistic Perspective of Generalization 2021 Wilson, Andrew G
Generative View Synthesis: From Single-view Semantics to Novel-view Images 2021 Amberbir Habtegebrial, Tewodros
Towards More Practical Adversarial Attacks on Graph Neural Networks 2021 Ma, Jiaqi
Deep Variational Instance Segmentation 2021 Yuan, Jialin
Improved Algorithms for Convex-Concave Minimax Optimization 2021 Wang, Yuanhao
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity 2021 Udrescu, Silviu-Marian
Fairness with Overlapping Groups; a Probabilistic Perspective 2021 Yang, Forest
Adaptive Reduced Rank Regression 2021 Wu, Qiong
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning 2021 van der Pol, Elise
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms 2021 Xu, Tengyu
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses 2021 Bassily, Raef
Reward-rational (implicit) choice: A unifying formalism for reward learning 2021 Jeon, Hong Jun
Alle Artikel auflisten