| 351 |
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
Joseph Antony, Kevin McGuinness, ... (+2 more)
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cs.CV
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182 |
9 years ago |
| 352 |
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit, Ron Meir
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stat.ML
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181 |
8 years ago |
| 353 |
Stability and Generalization of Learning Algorithms that Converge to Global Optima
Zachary Charles, Dimitris Papailiopoulos
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stat.ML
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181 |
8 years ago |
| 354 |
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina, Mathias Berglund, ... (+2 more)
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cs.LG
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181 |
10 years ago |
| 355 |
Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi, Yanan Sui
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👻
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cs.LG
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180 |
5 years ago |
| 356 |
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
Charith Mendis, Alex Renda, ... (+2 more)
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cs.DC
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180 |
7 years ago |
| 357 |
Time Limits in Reinforcement Learning
Fabio Pardo, Arash Tavakoli, ... (+2 more)
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cs.LG
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180 |
8 years ago |
| 358 |
Data-Dependent Stability of Stochastic Gradient Descent
Ilja Kuzborskij, Christoph H. Lampert
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cs.LG
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180 |
9 years ago |
| 359 |
Explainable $k$-Means and $k$-Medians Clustering
Sanjoy Dasgupta, Nave Frost, ... (+2 more)
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cs.LG
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179 |
6 years ago |
| 360 |
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
André Barreto, Diana Borsa, ... (+7 more)
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cs.LG
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178 |
7 years ago |
| 361 |
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, ... (+4 more)
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cs.LG
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178 |
11 years ago |
| 362 |
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
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stat.ML
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177 |
6 years ago |
| 363 |
On the Limitations of Representing Functions on Sets
Edward Wagstaff, Fabian B. Fuchs, ... (+3 more)
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cs.LG
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177 |
7 years ago |
| 364 |
Adaptive Neural Trees
Ryutaro Tanno, Kai Arulkumaran, ... (+3 more)
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cs.NE
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177 |
8 years ago |
| 365 |
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
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👻
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cs.NE
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177 |
8 years ago |
| 366 |
Geometric Mean Metric Learning
Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra
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stat.ML
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177 |
10 years ago |
| 367 |
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, ... (+2 more)
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cs.LG
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176 |
6 years ago |
| 368 |
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter, Đorđe Miladinović, ... (+2 more)
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stat.ML
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176 |
7 years ago |
| 369 |
Near Optimal Behavior via Approximate State Abstraction
David Abel, D. Ellis Hershkowitz, Michael L. Littman
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👻
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cs.LG
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176 |
9 years ago |
| 370 |
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Zeyuan Allen-Zhu, Zheng Qu, ... (+2 more)
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math.OC
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176 |
10 years ago |
| 371 |
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
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💀
404 Not Found
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cs.LG
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176 |
4 years ago |
| 372 |
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan He, ... (+2 more)
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cs.LG
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175 |
9 years ago |
| 373 |
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
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👻
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cs.CV
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175 |
9 years ago |
| 374 |
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
Tianbao Yang, Lijun Zhang, ... (+2 more)
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cs.LG
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175 |
10 years ago |
| 375 |
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang, Zhao Song, ... (+2 more)
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📜
Death by README
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cs.CR
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174 |
5 years ago |
| 376 |
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, ... (+3 more)
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cs.LG
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173 |
6 years ago |
| 377 |
Variance-Reduced and Projection-Free Stochastic Optimization
Elad Hazan, Haipeng Luo
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cs.LG
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173 |
10 years ago |
| 378 |
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael L. Littman
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👻
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cs.LG
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172 |
8 years ago |
| 379 |
Distributed Clustering of Linear Bandits in Peer to Peer Networks
Nathan Korda, Balazs Szorenyi, Shuai Li
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👻
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cs.LG
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172 |
10 years ago |
| 380 |
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt, Matthew D. Hoffman, David M. Blei
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stat.ML
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170 |
10 years ago |
| 381 |
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, ... (+3 more)
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cs.LG
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169 |
5 years ago |
| 382 |
Communication-Computation Efficient Gradient Coding
Min Ye, Emmanuel Abbe
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stat.ML
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169 |
8 years ago |
| 383 |
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
Rodolphe Jenatton, Jim Huang, Cédric Archambeau
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stat.ML
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169 |
10 years ago |
| 384 |
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
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👻
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cs.CV
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168 |
8 years ago |
| 385 |
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
Haim Avron, Michael Kapralov, ... (+4 more)
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cs.LG
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168 |
8 years ago |
| 386 |
Learning Privately from Multiparty Data
Jihun Hamm, Paul Cao, Mikhail Belkin
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👻
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cs.LG
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168 |
10 years ago |
| 387 |
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
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cs.LG
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168 |
11 years ago |
| 388 |
Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, ... (+3 more)
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cs.DS
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167 |
6 years ago |
| 389 |
Proportionally Fair Clustering
Xingyu Chen, Brandon Fain, ... (+2 more)
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cs.LG
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167 |
7 years ago |
| 390 |
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Xu Sun, Xuancheng Ren, ... (+2 more)
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🌅
Old Age
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cs.LG
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167 |
9 years ago |
| 391 |
Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, ... (+2 more)
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stat.ML
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167 |
10 years ago |
| 392 |
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, J. Zico Kolter
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cs.LG
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166 |
6 years ago |
| 393 |
Graphical-model based estimation and inference for differential privacy
Ryan McKenna, Daniel Sheldon, Gerome Miklau
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cs.LG
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166 |
7 years ago |
| 394 |
Differentially Private Fair Learning
Matthew Jagielski, Michael Kearns, ... (+5 more)
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cs.LG
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166 |
7 years ago |
| 395 |
Stochastic Variance Reduction Methods for Policy Evaluation
Simon S. Du, Jianshu Chen, ... (+3 more)
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cs.LG
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166 |
9 years ago |
| 396 |
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, ... (+2 more)
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cs.LG
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163 |
6 years ago |
| 397 |
Fake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, ... (+7 more)
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cs.LG
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163 |
9 years ago |
| 398 |
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh, Tom Sercu, Vaibhava Goel
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👻
Ghosted
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cs.LG
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163 |
9 years ago |
| 399 |
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar, Karol Hausman, ... (+4 more)
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cs.RO
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163 |
9 years ago |
| 400 |
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, ... (+5 more)
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cs.CL
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162 |
2 years ago |