| 1 |
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed
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👻
Ghosted
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stat.ML
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4.7K |
11 years ago |
| 2 |
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
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stat.ML
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3.4K |
9 years ago |
| 3 |
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang
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stat.ML
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3.4K |
9 years ago |
| 4 |
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, ... (+4 more)
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Ghosted
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cs.NE
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3.4K |
10 years ago |
| 5 |
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, ... (+6 more)
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Ghosted
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cs.CV
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3.2K |
8 years ago |
| 6 |
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
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Ghosted
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cs.LG
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2.7K |
11 years ago |
| 7 |
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long, Han Zhu, ... (+2 more)
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Ghosted
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cs.LG
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2.7K |
10 years ago |
| 8 |
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
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Ghosted
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cs.LG
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2.4K |
10 years ago |
| 9 |
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, ... (+4 more)
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Ghosted
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cs.LG
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2.3K |
7 years ago |
| 10 |
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
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Ghosted
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cs.LG
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2.3K |
10 years ago |
| 11 |
Group Equivariant Convolutional Networks
Taco S. Cohen, Max Welling
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👻
Ghosted
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cs.LG
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2.2K |
10 years ago |
| 12 |
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, ... (+2 more)
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👻
Ghosted
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cs.LG
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2.2K |
10 years ago |
| 13 |
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, ... (+2 more)
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Ghosted
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cs.LG
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2.1K |
11 years ago |
| 14 |
A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzębski, ... (+9 more)
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Ghosted
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stat.ML
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2.1K |
8 years ago |
| 15 |
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, ... (+3 more)
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Ghosted
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cs.CV
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2.0K |
11 years ago |
| 16 |
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin, Yudong Chen, ... (+2 more)
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cs.LG
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2.0K |
8 years ago |
| 17 |
Deep Bayesian Active Learning with Image Data
Yarin Gal, Riashat Islam, Zoubin Ghahramani
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👻
Ghosted
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cs.LG
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1.9K |
9 years ago |
| 18 |
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger, Doina Precup
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Ghosted
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cs.LG
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1.9K |
7 years ago |
| 19 |
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney, Rémi Munos
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Ghosted
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cs.LG
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1.7K |
8 years ago |
| 20 |
Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, ... (+6 more)
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Ghosted
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cs.NE
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1.7K |
9 years ago |
| 21 |
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, ... (+5 more)
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Ghosted
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cs.LG
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1.7K |
7 years ago |
| 22 |
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, ... (+2 more)
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Ghosted
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cs.CV
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1.7K |
8 years ago |
| 23 |
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer, ... (+5 more)
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Ghosted
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cs.LG
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1.7K |
7 years ago |
| 24 |
Constrained Policy Optimization
Joshua Achiam, David Held, ... (+2 more)
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Ghosted
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cs.LG
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1.6K |
9 years ago |
| 25 |
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
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👻
Ghosted
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cs.LG
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1.6K |
8 years ago |
| 26 |
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
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👻
Ghosted
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cs.LG
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1.6K |
7 years ago |
| 27 |
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, ... (+2 more)
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Ghosted
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stat.ML
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1.6K |
9 years ago |
| 28 |
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, ... (+2 more)
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Ghosted
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cs.LG
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1.5K |
9 years ago |
| 29 |
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Benjamin Recht, Yoram Singer
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👻
Ghosted
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cs.LG
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1.4K |
10 years ago |
| 30 |
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, ... (+2 more)
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Ghosted
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cs.CV
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1.3K |
8 years ago |
| 31 |
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, ... (+3 more)
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cs.LG
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1.2K |
11 years ago |
| 32 |
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà, Dídac Surís, ... (+2 more)
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Ghosted
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cs.LG
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1.2K |
8 years ago |
| 33 |
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ankit Kumar, Ozan Irsoy, ... (+7 more)
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cs.CL
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1.2K |
10 years ago |
| 34 |
Gradient Descent Finds Global Minima of Deep Neural Networks
Simon S. Du, Jason D. Lee, ... (+3 more)
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cs.LG
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1.2K |
7 years ago |
| 35 |
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu, ... (+2 more)
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Ghosted
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cs.LG
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1.2K |
5 years ago |
| 36 |
Born Again Neural Networks
Tommaso Furlanello, Zachary C. Lipton, ... (+3 more)
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stat.ML
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1.2K |
8 years ago |
| 37 |
Meta Networks
Tsendsuren Munkhdalai, Hong Yu
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👻
Ghosted
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cs.LG
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1.1K |
9 years ago |
| 38 |
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos, J. Zico Kolter
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👻
Ghosted
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cs.LG
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1.1K |
9 years ago |
| 39 |
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, ... (+6 more)
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cs.LG
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1.1K |
6 years ago |
| 40 |
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, ... (+6 more)
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cs.LG
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1.1K |
7 years ago |
| 41 |
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, ... (+2 more)
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cs.LG
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1.1K |
10 years ago |
| 42 |
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora, Simon S. Du, ... (+3 more)
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Ghosted
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cs.LG
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1.0K |
7 years ago |
| 43 |
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
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👻
Ghosted
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cs.LG
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1.0K |
10 years ago |
| 44 |
Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud, Ryan P. Adams
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👻
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stat.ML
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1.0K |
11 years ago |
| 45 |
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang, Raman Arora, ... (+2 more)
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cs.LG
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1.0K |
10 years ago |
| 46 |
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Sasha Vezhnevets, Simon Osindero, ... (+5 more)
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👻
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cs.AI
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1.0K |
9 years ago |
| 47 |
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
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👻
Ghosted
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stat.ML
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995 |
7 years ago |
| 48 |
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov, Vadim Lebedev, ... (+2 more)
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👻
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cs.CV
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994 |
10 years ago |
| 49 |
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, ... (+2 more)
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👻
Ghosted
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cs.LG
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985 |
9 years ago |
| 50 |
Implicit Geometric Regularization for Learning Shapes
Amos Gropp, Lior Yariv, ... (+3 more)
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👻
Ghosted
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cs.LG
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978 |
6 years ago |