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A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord, Matthias Bethge
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| 102 |
Mitigating Adversarial Effects Through Randomization
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Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, ... (+2 more)
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| 104 |
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
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Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher
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Energy-based Generative Adversarial Network
Junbo Zhao, Michael Mathieu, Yann LeCun
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| 107 |
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample, Alexis Conneau, ... (+2 more)
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Wasserstein Auto-Encoders
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| 109 |
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, ... (+5 more)
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Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, ... (+6 more)
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Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot, Martín Abadi, ... (+3 more)
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Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
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Don't Decay the Learning Rate, Increase the Batch Size
Samuel L. Smith, Pieter-Jan Kindermans, ... (+2 more)
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Mastering Atari with Discrete World Models
Danijar Hafner, Timothy Lillicrap, ... (+2 more)
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The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
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Trained Ternary Quantization
Chenzhuo Zhu, Song Han, ... (+2 more)
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| 117 |
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran, Gal Kaplun, ... (+4 more)
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Unrolled Generative Adversarial Networks
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Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth, Soumya Sanyal, ... (+2 more)
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Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li, ... (+4 more)
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Unsupervised Cross-Domain Image Generation
Yaniv Taigman, Adam Polyak, Lior Wolf
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FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson, Michael Maire, Gregory Shakhnarovich
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On Detecting Adversarial Perturbations
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Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias, Ronan Sicre, Hervé Jégou
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Order Matters: Sequence to sequence for sets
Oriol Vinyals, Samy Bengio, Manjunath Kudlur
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Wizard of Wikipedia: Knowledge-Powered Conversational agents
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Generalization through Memorization: Nearest Neighbor Language Models
Urvashi Khandelwal, Omer Levy, ... (+3 more)
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FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl, Ricky T. Q. Chen, ... (+3 more)
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SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, ... (+2 more)
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Noisy Networks for Exploration
Meire Fortunato, Mohammad Gheshlaghi Azar, ... (+10 more)
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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
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Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
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Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, ... (+8 more)
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Hierarchical Representations for Efficient Architecture Search
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A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
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Learning to Navigate in Complex Environments
Piotr Mirowski, Razvan Pascanu, ... (+10 more)
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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim, Eunhyeok Park, ... (+4 more)
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Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee, Honglak Lee, ... (+2 more)
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Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, ... (+2 more)
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PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen, Xiao Wang, ... (+27 more)
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| 141 |
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, ... (+9 more)
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| 142 |
Adversarial Attacks on Neural Network Policies
Sandy Huang, Nicolas Papernot, ... (+3 more)
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An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, ... (+4 more)
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Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, ... (+5 more)
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7 years ago |
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Non-Autoregressive Neural Machine Translation
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Learning to Represent Programs with Graphs
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
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874 |
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| 147 |
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
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862 |
7 years ago |
| 148 |
Self-labelling via simultaneous clustering and representation learning
Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi
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858 |
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| 149 |
Universal Transformers
Mostafa Dehghani, Stephan Gouws, ... (+3 more)
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Generating Wikipedia by Summarizing Long Sequences
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