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Semi-supervised Sequence Learning
Andrew M. Dai, Quoc V. Le
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cs.LG
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10 years ago |
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Learning Multiagent Communication with Backpropagation
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| 103 |
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen
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5 years ago |
| 104 |
Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig
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cs.CL
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| 105 |
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni, Karthik R. Narasimhan, ... (+2 more)
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Graph Transformer Networks
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Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen
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cs.CV
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| 108 |
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
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| 109 |
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu, Dilin Wang
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stat.ML
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| 110 |
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy, Thomas Brox
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cs.LG
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| 111 |
Recurrent World Models Facilitate Policy Evolution
David Ha, Jürgen Schmidhuber
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| 112 |
Improved Precision and Recall Metric for Assessing Generative Models
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The Marginal Value of Adaptive Gradient Methods in Machine Learning
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Universal Style Transfer via Feature Transforms
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| 115 |
Unsupervised Learning for Physical Interaction through Video Prediction
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SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar, Carl Vondrick, Antonio Torralba
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cs.CV
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MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
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Hamiltonian Neural Networks
Sam Greydanus, Misko Dzamba, Jason Yosinski
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| 119 |
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DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
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Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
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| 126 |
Bilinear Attention Networks
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| 127 |
GANSpace: Discovering Interpretable GAN Controls
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
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Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
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| 131 |
Deep Learning without Poor Local Minima
Kenji Kawaguchi
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The Expressive Power of Neural Networks: A View from the Width
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| 134 |
On Fairness and Calibration
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Gradient based sample selection for online continual learning
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Tensorizing Neural Networks
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Meta-Learning with Implicit Gradients
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Deep Convolutional Inverse Graphics Network
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Safe Model-based Reinforcement Learning with Stability Guarantees
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Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
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Learned in Translation: Contextualized Word Vectors
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Data-Efficient Hierarchical Reinforcement Learning
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| 143 |
A Simple Baseline for Bayesian Uncertainty in Deep Learning
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On Lazy Training in Differentiable Programming
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math.OC
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Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
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Spectral Signatures in Backdoor Attacks
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Action-Conditional Video Prediction using Deep Networks in Atari Games
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Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
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Dual Learning for Machine Translation
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