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The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
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cs.AI
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7 years ago |
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Deeply supervised salient object detection with short connections
Qibin Hou, Ming-Ming Cheng, ... (+4 more)
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9 years ago |
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Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Benjamin Recht, Yoram Singer
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Black-box Adversarial Attacks with Limited Queries and Information
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Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen, Thomas Pock
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HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan, Vishal M. Patel, Rama Chellappa
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Optimal Transport for Domain Adaptation
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Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
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BAM: Bottleneck Attention Module
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Compressing Neural Networks with the Hashing Trick
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SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, ... (+7 more)
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cs.NE
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signSGD: Compressed Optimisation for Non-Convex Problems
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Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
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cs.CL
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Gradient Descent Finds Global Minima of Deep Neural Networks
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Ditto: Fair and Robust Federated Learning Through Personalization
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Discriminative Scale Space Tracking
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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
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All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
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Born Again Neural Networks
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Richer Convolutional Features for Edge Detection
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Meta Networks
Tsendsuren Munkhdalai, Hong Yu
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cs.LG
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Brent Mittelstadt
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cs.CY
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7 years ago |
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Out-of-Distribution Generalization via Risk Extrapolation (REx)
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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla
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MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
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Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
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Continuous Deep Q-Learning with Model-based Acceleration
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A Survey on Learning to Hash
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10 years ago |
| 79 |
The Implicit Bias of Gradient Descent on Separable Data
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Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan
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cs.CR
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Deep Reinforcement Learning framework for Autonomous Driving
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Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
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Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
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Toward Controlled Generation of Text
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Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud, Ryan P. Adams
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On Deep Multi-View Representation Learning: Objectives and Optimization
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FeUdal Networks for Hierarchical Reinforcement Learning
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Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
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Robust Adversarial Reinforcement Learning
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Implicit Geometric Regularization for Learning Shapes
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QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
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Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
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STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
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Long-term Temporal Convolutions for Action Recognition
Gül Varol, Ivan Laptev, Cordelia Schmid
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The Hidden Vulnerability of Distributed Learning in Byzantium
El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
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Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng, Sheng-jun Huang, Songcan Chen
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cs.LG
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MADE: Masked Autoencoder for Distribution Estimation
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Improving fairness in machine learning systems: What do industry practitioners need?
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