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20112026
most citedFourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

455 citations · 2k across the 94 of their papers we have counts for

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Showing 2019 · cs.LGShow all

12 papers · 2 filters

cs.LG2019★ 8 cited

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers

Tan M. Nguyen, Animesh Garg, Richard G. Baraniuk +1

Continuous Normalizing Flows (CNFs) have emerged as promising deep generative models for a wide range of tasks thanks to their invertibility and exact likelihood estimation. Howeve…

cs.LG2019

Angular Visual Hardness

Beidi Chen, Weiyang Liu, Zhiding Yu +4

Recent convolutional neural networks (CNNs) have led to impressive performance but often suffer from poor calibration. They tend to be overconfident, with the model confidence not…

cs.LG2019★ 4 cited

Triply Robust Off-Policy Evaluation

Anqi Liu, Hao Liu, Anima Anandkumar +1

We propose a robust regression approach to off-policy evaluation (OPE) for contextual bandits. We frame OPE as a covariate-shift problem and leverage modern robust regression tools…

cs.LG2019★ 4 cited

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates

Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen +2

Online harassment is a significant social problem. Prevention of online harassment requires rapid detection of harassing, offensive, and negative social media posts. In this paper,…

cs.LG2019

Implicit competitive regularization in GANs

Florian Schäfer, Hongkai Zheng, Anima Anandkumar

To improve the stability of GAN training we need to understand why they can produce realistic samples. Presently, this is attributed to properties of the divergence obtained under…

cs.LG2019

Multi Sense Embeddings from Topic Models

Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati +1

Distributed word embeddings have yielded state-of-the-art performance in many NLP tasks, mainly due to their success in capturing useful semantic information. These representations…