| 301 |
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
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cs.LG
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269 |
8 years ago |
| 302 |
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos, Max Welling
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stat.ML
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268 |
10 years ago |
| 303 |
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li, Lijun Li, ... (+3 more)
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cs.LG
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266 |
6 years ago |
| 304 |
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas, Gautam Kamath, ... (+4 more)
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cs.LG
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265 |
9 years ago |
| 305 |
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Hongyi Wang, ... (+2 more)
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stat.ML
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264 |
8 years ago |
| 306 |
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang, Denis Krompass, Volker Tresp
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cs.CV
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264 |
8 years ago |
| 307 |
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, Anssi Kanervisto, ... (+2 more)
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cs.CV
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263 |
9 years ago |
| 308 |
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, ... (+2 more)
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cs.LG
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260 |
6 years ago |
| 309 |
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson, Tong Zhang
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stat.ML
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260 |
10 years ago |
| 310 |
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, ... (+3 more)
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stat.ML
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259 |
10 years ago |
| 311 |
Semi-Amortized Variational Autoencoders
Yoon Kim, Sam Wiseman, ... (+3 more)
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stat.ML
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256 |
8 years ago |
| 312 |
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov, Chiheb Trabelsi, ... (+2 more)
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cs.LG
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256 |
9 years ago |
| 313 |
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Andrew An Bian, Joachim M. Buhmann, ... (+2 more)
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🔮
The Ethereal
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cs.DM
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254 |
9 years ago |
| 314 |
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-Xiang Wang, Stephen E. Fienberg, Alex Smola
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stat.ML
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252 |
11 years ago |
| 315 |
A Unified View of Multi-Label Performance Measures
Xi-Zhu Wu, Zhi-Hua Zhou
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cs.LG
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251 |
9 years ago |
| 316 |
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Abien Fred Agarap
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cs.LG
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250 |
8 years ago |
| 317 |
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
Jiaxiang Wu, Weidong Huang, ... (+2 more)
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cs.CV
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246 |
7 years ago |
| 318 |
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar, David Sontag
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cs.LG
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245 |
5 years ago |
| 319 |
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun, Arun Venkatraman, ... (+3 more)
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cs.LG
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245 |
9 years ago |
| 320 |
Dynamic Word Embeddings
Robert Bamler, Stephan Mandt
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stat.ML
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243 |
9 years ago |
| 321 |
Learning Granger Causality for Hawkes Processes
Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
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cs.LG
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243 |
10 years ago |
| 322 |
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Thang D. Bui, Daniel Hernández-Lobato, ... (+3 more)
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stat.ML
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243 |
10 years ago |
| 323 |
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver, ... (+8 more)
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cs.AI
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242 |
8 years ago |
| 324 |
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger, Chandan Singh, ... (+2 more)
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cs.LG
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241 |
6 years ago |
| 325 |
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
Simon S. Du, Jason D. Lee, ... (+3 more)
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cs.LG
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241 |
8 years ago |
| 326 |
Measuring Sample Quality with Kernels
Jackson Gorham, Lester Mackey
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stat.ML
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241 |
9 years ago |
| 327 |
Deep Counterfactual Regret Minimization
Noam Brown, Adam Lerer, ... (+2 more)
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cs.AI
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234 |
7 years ago |
| 328 |
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, ... (+3 more)
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math.OC
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234 |
10 years ago |
| 329 |
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Hanlin Tang, Xiangru Lian, ... (+3 more)
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cs.DC
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233 |
6 years ago |
| 330 |
Learning to Search Better Than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, ... (+3 more)
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cs.LG
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233 |
11 years ago |
| 331 |
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Abien Fred Agarap
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cs.NE
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232 |
8 years ago |
| 332 |
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu-Xiang Wang, Alekh Agarwal, Miroslav Dudik
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stat.ML
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231 |
9 years ago |
| 333 |
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martinez, Martin Bertran, Guillermo Sapiro
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stat.ML
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228 |
5 years ago |
| 334 |
Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, ... (+4 more)
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🌅
Old Age
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cs.LG
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228 |
6 years ago |
| 335 |
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu, Haotian Ye, ... (+2 more)
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cs.LG
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227 |
2 years ago |
| 336 |
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi, Aravind Rajeswaran, ... (+2 more)
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cs.CV
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226 |
4 years ago |
| 337 |
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
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cs.LG
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225 |
9 years ago |
| 338 |
Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware
Qian Chen, Robert A. Bridges
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cs.CR
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225 |
8 years ago |
| 339 |
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng, Bangsheng Tang, ... (+2 more)
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cs.IR
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225 |
9 years ago |
| 340 |
Structured Prediction Energy Networks
David Belanger, Andrew McCallum
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cs.LG
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225 |
10 years ago |
| 341 |
Scalable Bayesian Rule Lists
Hongyu Yang, Cynthia Rudin, Margo Seltzer
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cs.AI
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224 |
10 years ago |
| 342 |
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Sören Mindermann, Jan Brauner, ... (+9 more)
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cs.LG
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224 |
3 years ago |
| 343 |
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu, Emily Denton, ... (+2 more)
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cs.AI
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222 |
8 years ago |
| 344 |
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
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cs.LG
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222 |
9 years ago |
| 345 |
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet, Colleen Alkalay-Houlihan, ... (+2 more)
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cs.LG
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221 |
7 years ago |
| 346 |
On the Impact of the Activation Function on Deep Neural Networks Training
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
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stat.ML
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220 |
7 years ago |
| 347 |
Scalable Fair Clustering
Arturs Backurs, Piotr Indyk, ... (+4 more)
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cs.DS
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220 |
7 years ago |
| 348 |
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, ... (+4 more)
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cs.LG
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220 |
7 years ago |
| 349 |
Noisy Natural Gradient as Variational Inference
Guodong Zhang, Shengyang Sun, ... (+2 more)
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cs.LG
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219 |
8 years ago |
| 350 |
Fairness in Reinforcement Learning
Shahin Jabbari, Matthew Joseph, ... (+3 more)
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cs.LG
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219 |
9 years ago |