Thought Flow Nets: From Single Predictions to Trains of Model Thought

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Thought Flow Nets: From Single Predictions to Trains of Model Thought

26 July 2021

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Papers citing "Thought Flow Nets: From Single Predictions to Trains of Model Thought"

17 / 17 papers shown

Title
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data Yilun Zhao Yunxiang Li Chenying Li Rui Zhang AIMat 59 106 0 03 Jun 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 845 9,644 0 28 Jan 2022
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 138 82 0 12 Jul 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 179 4,092 0 10 Apr 2020
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 101 291 0 01 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering Zhilin Yang Peng Qi Saizheng Zhang Yoshua Bengio William W. Cohen Ruslan Salakhutdinov Christopher D. Manning RALM 188 2,694 0 25 Sep 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 83 592 0 13 Feb 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 470 2,519 0 08 Jun 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,494 0 18 Apr 2017
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 117 549 0 29 Mar 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 814 39,062 0 09 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,316 0 20 Dec 2013

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