Papers
11,015 papers found
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
Deep Neural Networks as Gaussian Processes
Jaehoon Lee, Yasaman Bahri, Roman Novak et al.
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass et al.
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
Jinsung Yoon, William R. Zame, Mihaela van der Schaar
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng, Andrew Gibiansky et al.
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei, Maya Kabkab, Rama Chellappa
Demystifying MMD GANs
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel et al.
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang, Dehua Cheng, Yan Liu
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi et al.
Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron, Matthew W. Hoffman, David Budden et al.
Distributed Fine-tuning of Language Models on Private Data
Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya et al.
Distributed Prioritized Experience Replay
Dan Horgan, John Quan, David Budden et al.
Divide and Conquer Networks
Alex Nowak, David Folqué, Joan Bruna
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh, Avi Singh, Aravind Rajeswaran et al.
Do GANs learn the distribution? Some Theory and Empirics
Sanjeev Arora, Andrej Risteski, Yi Zhang
Don't Decay the Learning Rate, Increase the Batch Size
Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying et al.
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Lior Fox, Leshem Choshen, Yonatan Loewenstein
Dynamic Neural Program Embeddings for Program Repair
Ke Wang, Rishabh Singh, Zhendong Su
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu, Jeff Pool, Song Han et al.
Eigenoption Discovery through the Deep Successor Representation
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo et al.
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls et al.
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Katrina Evtimova, Andrew Drozdov, Douwe Kiela et al.
Emergent Communication through Negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot et al.