| 501 |
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway, Michael C. Mozer
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👻
Ghosted
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cs.LG
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232 |
8 years ago |
| 502 |
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
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👻
Ghosted
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cs.LG
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231 |
5 years ago |
| 503 |
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
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👻
Ghosted
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cs.CV
|
231 |
10 years ago |
| 504 |
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, ... (+2 more)
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💤
Eternal Rest
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cs.CL
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230 |
3 years ago |
| 505 |
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu, Yen-Cheng Liu, ... (+2 more)
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👻
Ghosted
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cs.CV
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229 |
7 years ago |
| 506 |
Dialog-based Interactive Image Retrieval
Xiaoxiao Guo, Hui Wu, ... (+4 more)
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👻
Ghosted
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cs.CV
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229 |
8 years ago |
| 507 |
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, ... (+2 more)
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👻
Ghosted
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stat.ML
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229 |
9 years ago |
| 508 |
Adaptive Online Learning in Dynamic Environments
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
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👻
Ghosted
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cs.LG
|
228 |
7 years ago |
| 509 |
Coresets for Scalable Bayesian Logistic Regression
Jonathan H. Huggins, Trevor Campbell, Tamara Broderick
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👻
Ghosted
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stat.CO
|
227 |
10 years ago |
| 510 |
Constrained Reinforcement Learning Has Zero Duality Gap
Santiago Paternain, Luiz F. O. Chamon, ... (+2 more)
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👻
Ghosted
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cs.LG
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226 |
6 years ago |
| 511 |
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
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🌅
Old Age
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cs.NE
|
226 |
6 years ago |
| 512 |
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, ... (+3 more)
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🌅
Old Age
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cs.CV
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225 |
6 years ago |
| 513 |
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo, Sunghwan Joo, Taesup Moon
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👻
Ghosted
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cs.LG
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225 |
7 years ago |
| 514 |
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu, Dixin Luo, Lawrence Carin
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👻
Ghosted
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cs.LG
|
225 |
7 years ago |
| 515 |
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, ... (+5 more)
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👻
Ghosted
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stat.ML
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225 |
8 years ago |
| 516 |
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
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👻
Ghosted
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cs.AI
|
224 |
8 years ago |
| 517 |
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, ... (+4 more)
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👻
Ghosted
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cs.LG
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224 |
9 years ago |
| 518 |
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu, Weixun Wang, ... (+6 more)
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👻
Ghosted
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cs.LG
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223 |
5 years ago |
| 519 |
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang, Huazhe Xu, ... (+2 more)
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👻
Ghosted
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cs.LG
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223 |
6 years ago |
| 520 |
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen, ... (+2 more)
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👻
Ghosted
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stat.ML
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223 |
8 years ago |
| 521 |
Stochastic Variance Reduction Methods for Saddle-Point Problems
P Balamurugan, Francis Bach
|
👻
Ghosted
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cs.LG
|
223 |
10 years ago |
| 522 |
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, ... (+3 more)
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👻
Ghosted
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cs.CV
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222 |
6 years ago |
| 523 |
Communication-efficient distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, ... (+4 more)
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👻
Ghosted
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cs.LG
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222 |
7 years ago |
| 524 |
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
|
👻
Ghosted
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cs.LG
|
221 |
7 years ago |
| 525 |
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Seonghyeon Nam, Yunji Kim, Seon Joo Kim
|
👻
Ghosted
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cs.CV
|
221 |
7 years ago |
| 526 |
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir
|
👻
Ghosted
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cs.LG
|
221 |
11 years ago |
| 527 |
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort, Gintare Karolina Dziugaite, ... (+4 more)
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👻
Ghosted
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cs.LG
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220 |
5 years ago |
| 528 |
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson
|
👻
Ghosted
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cs.LG
|
220 |
10 years ago |
| 529 |
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, İsmail İlkan Ceylan, ... (+2 more)
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🌅
Old Age
|
cs.AI
|
219 |
5 years ago |
| 530 |
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, ... (+2 more)
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👻
Ghosted
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cs.LG
|
219 |
6 years ago |
| 531 |
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, ... (+2 more)
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👻
Ghosted
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cs.LG
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219 |
8 years ago |
| 532 |
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar, Isabel Valera, ... (+3 more)
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🌅
Old Age
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stat.ML
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219 |
8 years ago |
| 533 |
Filtering Variational Objectives
Chris J. Maddison, Dieterich Lawson, ... (+6 more)
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👻
Ghosted
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cs.LG
|
219 |
9 years ago |
| 534 |
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh Merel, ... (+4 more)
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👻
Ghosted
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cs.LG
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218 |
8 years ago |
| 535 |
Higher-Order Factorization Machines
Mathieu Blondel, Akinori Fujino, ... (+2 more)
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👻
Ghosted
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stat.ML
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218 |
9 years ago |
| 536 |
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
|
👻
Ghosted
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stat.ML
|
217 |
6 years ago |
| 537 |
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, ... (+2 more)
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👻
Ghosted
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cs.LG
|
217 |
7 years ago |
| 538 |
Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh, Andrew Cotter, ... (+2 more)
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👻
Ghosted
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cs.LG
|
216 |
9 years ago |
| 539 |
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, ... (+2 more)
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👻
Ghosted
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cs.LG
|
216 |
10 years ago |
| 540 |
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
|
👻
Ghosted
|
cs.LG
|
214 |
7 years ago |
| 541 |
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder, Yuhuai Wu, David Duvenaud
|
👻
Ghosted
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stat.ML
|
214 |
9 years ago |
| 542 |
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, ... (+2 more)
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👻
Ghosted
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cs.LG
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213 |
5 years ago |
| 543 |
Unsupervised Learning of Dense Visual Representations
Pedro O. Pinheiro, Amjad Almahairi, ... (+3 more)
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👻
Ghosted
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cs.CV
|
213 |
5 years ago |
| 544 |
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, ... (+2 more)
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👻
Ghosted
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cs.CV
|
212 |
6 years ago |
| 545 |
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, YuFei Wang, ... (+4 more)
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👻
Ghosted
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cs.CV
|
211 |
5 years ago |
| 546 |
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
|
👻
Ghosted
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cs.LG
|
211 |
5 years ago |
| 547 |
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, ... (+4 more)
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👻
Ghosted
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cs.CV
|
210 |
2 years ago |
| 548 |
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Perolat, Joel Z. Leibo, ... (+4 more)
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👻
Ghosted
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cs.MA
|
210 |
8 years ago |
| 549 |
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa, Ce Zhang, ... (+2 more)
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👻
Ghosted
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cs.LG
|
210 |
10 years ago |
| 550 |
When to use parametric models in reinforcement learning?
Hado van Hasselt, Matteo Hessel, John Aslanides
|
👻
Ghosted
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cs.LG
|
209 |
6 years ago |