Counterfactual Maximum Likelihood Estimation for Training Deep Networks

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Counterfactual Maximum Likelihood Estimation for Training Deep Networks

7 June 2021

Michael Stephen Saxon

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Papers citing "Counterfactual Maximum Likelihood Estimation for Training Deep Networks"

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Title
See or Guess: Counterfactually Regularized Image Captioning Qian Cao Xu Chen Ruihua Song Xiting Wang Xinting Huang Yuchen Ren CML 87 1 0 29 Aug 2024
Benchmarks as Microscopes: A Call for Model Metrology Michael Stephen Saxon Ari Holtzman Peter West William Y. Wang Naomi Saphra 109 13 0 22 Jul 2024
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages Rahul Tangsali Aabha Pingle Aditya Vyawahare Isha Joshi Raviraj Joshi 85 7 0 12 Dec 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 106 23 0 10 Jun 2022
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers Michael Stephen Saxon Xinyi Wang Wenda Xu William Yang Wang 97 9 0 16 Dec 2021