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The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C. Wilson, Rebecca Roelofs, ... (+3 more)
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Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, Sergey Levine
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SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar, Carl Vondrick, Antonio Torralba
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Dynamic Filter Networks
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Reinforcement Learning for Solving the Vehicle Routing Problem
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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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Associative Embedding: End-to-End Learning for Joint Detection and Grouping
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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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Ladder Variational Autoencoders
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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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On Lazy Training in Differentiable Programming
Lenaic Chizat, Edouard Oyallon, Francis Bach
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On Adaptive Attacks to Adversarial Example Defenses
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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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Is Q-learning Provably Efficient?
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SLAYER: Spike Layer Error Reassignment in Time
Sumit Bam Shrestha, Garrick Orchard
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875 |
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Pose Guided Person Image Generation
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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
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Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara, Daniel Soudry
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Efficient Neural Network Robustness Certification with General Activation Functions
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Adversarially Robust Generalization Requires More Data
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Sparsified SGD with Memory
Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin Jaggi
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Causal Effect Inference with Deep Latent-Variable Models
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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
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Diffusion Improves Graph Learning
Johannes Gasteiger, Stefan Weißenberger, Stephan Günnemann
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Variational Autoencoder for Deep Learning of Images, Labels and Captions
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Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
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Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar
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Style Transfer from Non-Parallel Text by Cross-Alignment
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Lenaic Chizat, Francis Bach
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Domain Generalization via Model-Agnostic Learning of Semantic Features
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cs.CR
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