Absolutely superficial sequences [PDF]
Math. Proc. Cambridge Phil. Soc. 93 (1983), 35 - 47, 2014 Absolutely superficial sequences was introduced by P. Schenzel in order to study generalized Cohen-Macaulay (resp. Buchsbaum) modules. For an arbitrary local ring, they turned out to be d-sequences. This paper established properties of absolutely superficial sequences with respect to a module.
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Divergences in Real-Time Classical Field Theories at Non-Zero Temperature [PDF]
Phys.Rev. D61 (2000) 105002, 1999 The classical approximation provides a non-perturbative approach to time-dependent problems in finite temperature field theory. We study the divergences in hot classical field theory perturbatively. At one-loop, we show that the linear divergences are completely determined by the classical equivalent of the hard thermal loops in hot quantum field ...
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Learning to Learn to be Right for the Right Reasons [PDF]
arXiv, 2021 Improving model generalization on held-out data is one of the core objectives in commonsense reasoning. Recent work has shown that models trained on the dataset with superficial cues tend to perform well on the easy test set with superficial cues but perform poorly on the hard test set without superficial cues.
arxiv
Are Prompt-based Models Clueless? [PDF]
arXiv, 2022 Finetuning large pre-trained language models with a task-specific head has advanced the state-of-the-art on many natural language understanding benchmarks. However, models with a task-specific head require a lot of training data, making them susceptible to learning and exploiting dataset-specific superficial cues that do not generalize to other ...
arxiv
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue [PDF]
arXiv, 2023 Pre-trained models have achieved success in Chinese Short Text Matching (STM) tasks, but they often rely on superficial clues, leading to a lack of robust predictions. To address this issue, it is crucial to analyze and mitigate the influence of superficial clues on STM models.
arxiv
Recursion and growth estimates in renormalizable quantum field theory [PDF]
Commun.Math.Phys.279:401-427,2008, 2006 In this paper we show that there is a Lipatov bound for the radius of convergence for superficially divergent one-particle irreducible Green functions in a renormalizable quantum field theory if there is such a bound for the superficially convergent ones.
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Using Adversarial Debiasing to Remove Bias from Word Embeddings [PDF]
arXiv, 2021 Word Embeddings have been shown to contain the societal biases present in the original corpora. Existing methods to deal with this problem have been shown to only remove superficial biases. The method of Adversarial Debiasing was presumed to be similarly superficial, but this is was not verified in previous works.
arxiv
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances [PDF]
arXiv, 2022 Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding frequent answers (i.e., language priors) to make predictions, without really understanding the input. In this work, we define the training instances with the same question type but
arxiv
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning [PDF]
arXiv, 2022 White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts to enable quantification and visualization. Most parcellation methods focus on the deep white matter (DWM), while fewer methods address the superficial white matter (SWM) due to its complexity.
arxiv
Reply to ``Comment on ``Some implications of the quantum nature of laser fields for quantum computations'' '' [PDF]
, 2002 We point out several superficialities in Itano's comment (quant-ph/0211165).
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