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🏛️ The Machine Learning (Stat) Crypt
stat.ML: Where Machine Learning (Stat) papers rest without their code.
5792
Total Papers
5030
No Code
76
Twilight
686
Has Code
11.8%
Survival Rate
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Variational Approaches for Auto-Encoding Generative Adversarial Networks
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Old Age
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
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Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
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Equivariance Through Parameter-Sharing
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Capsules for Object Segmentation
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Discrete Variational Autoencoders
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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
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Protein-Ligand Scoring with Convolutional Neural Networks
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Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
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Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
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Houdini: Fooling Deep Structured Prediction Models
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Stronger Data Poisoning Attacks Break Data Sanitization Defenses
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Hyperparameter Importance Across Datasets
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Model-Free Episodic Control
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DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification
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Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
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Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
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Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
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Approximating Continuous Functions by ReLU Nets of Minimal Width
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DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
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Stacked What-Where Auto-encoders
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Deep learning generalizes because the parameter-function map is biased towards simple functions
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