Search for tag: "representations"

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01:19:51 Ines Montani, Solutions for Advanced NLP for… Ines Montani, Solutions for Advanced NLP for Diverse Languages, May 12, 2022	Ines Montani, Solutions for Advanced NLP for Diverse Languages, May 12, 2022 This event is part of the New Languages for NLP: Building Linguistic Diversity in the Digital Humanities Institute, in partnership with DARIAH-EU and generously supported by a grant from the National… lot things language languages text models thing question english library space model bit tools component components texts pipeline form representations From Broadcast Broadcast Center Staff 0 likes 4 plays
03:16 Building a Tool for Chronicling America:… Building a Tool for Chronicling America: Flexibility and Efficiency in Digital Humanities, Nobline Yoo, UG '23 (3967151)	Building a Tool for Chronicling America: Flexibility and Efficiency in Digital Humanities, Nobline Yoo, UG '23 (3967151) Digital humanities is at the interface between humanistic studies and computational power. Hence, when building tools in this space, we need to consider, firstly, the humanities scholar who desires… digital humanities machine learning statistics density tool word america framework representations plot dispersion tools flexibility humanities words colab efficiency adoption 1800s 1700s vector occurrence output From Research Princeton Research Day 0 likes 21 plays Date April 27th, 2022 Speaker Nobline Yoo Department Computer Science
03:05 Analyzing Racial Bias Trends in the Text of US… Analyzing Racial Bias Trends in the Text of US Legal Opinions, Rohan Jinturkar, UG '23, (3964430)	Analyzing Racial Bias Trends in the Text of US Legal Opinions, Rohan Jinturkar, UG '23, (3964430) Racial bias remains pervasive in American society, and there are many instances of such discrimination in the legal system. However, it is unclear if such bias also exists in the text of judge… embeddings glove cosine distance hypothesis tests representations vectors #prd22 bias names region opinions word period distance race laws professor intersectionality comparisons tests vector investigation paper suggestions From Research Princeton Research Day 12 likes 42 plays Date April 27th, 2022 Speaker Rohan Jinturkar, UG '23 Department Computer Science
02:58 3D Object Reconstruction of Unseen and Unlabeled… 3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)	3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734) Learning 3D representations of objects is a task at the heart of computer vision, robotic manipulation, scene understanding, medicine, and content generation. Implicit neural representations which… computer vision 3d objects 3d representation 3d reconstruction implicit neural representations signed distance functions (sdf) learn priors of 3d shapes episodic training object classes baseline points distance representations point training 3d detail surface sds method shapes stages baselines categories scale process scenarios From Research Princeton Research Day 0 likes 19 plays Date April 27th, 2022 Speaker Gene Chou Department Computer Science
03:00 A Mathematical View of Anxiety, Ines Aitsahalia,… A Mathematical View of Anxiety, Ines Aitsahalia, UG '22 (3957528)	A Mathematical View of Anxiety, Ines Aitsahalia, UG '22 (3957528) Nearly 20% of American adults have an anxiety disorder, but the leading therapy for these disorders does not always work. How can we change our theories of learning and threat prediction to better… observation prior stochastic deterministic latent cause model anxiety extinction light model fear conditioning observation bell chunks shock cbt trauma neuroscientists randomness representations differences observations stimulus minds lot From Research Princeton Research Day 2 likes 26 plays Date April 27th, 2022 Speaker Ines Aitsahalia Department Neuroscience
02:55:09 Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4	Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4 picsc research computing network image things kind input model training text networks lot layer filter output filters features weights function learning bit representations From Andrea Rubinstein 0 likes 2 plays Date January 19th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
01:16:48 The Comrades of the Ship- Quranic Narrative and… The Comrades of the Ship- Quranic Narrative and Early Muslim Accounts of Women Emigres to Abyssinia	The Comrades of the Ship- Quranic Narrative and Early Muslim Accounts of Women Emigres to Abyssinia tradition account kind prophet muhammad figure story literature profit period elites question woman god marriage king representations abraham sense power From Broadcast Broadcast Center Staff 0 likes 2 plays
02:07 OURSIP Intern - Rahul Saha OURSIP Intern - Rahul Saha	OURSIP Intern - Rahul Saha Antibiotic Discovery bacteria compound chemical antibiotics discovery representations network graph problem compounds summer antibiotic break end level technologies approach kind paper learning From Crystal Dixon 0 likes 17 plays Date July 28th, 2021 Speaker Rahul Saha Department Department of Computer Science
03:00 An Investigation of the Female-Specific… An Investigation of the Female-Specific Behavioral Deficits Present in Autism, Kennedy Miller UG '21 (2312533)	An Investigation of the Female-Specific Behavioral Deficits Present in Autism, Kennedy Miller UG '21 (2312533) Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder characterized by two core diagnostic criteria: socio-communicative deficits and repetitive behaviors. Despite ASD being… deepsea chromatin profile regulation pca/umap low dimensional representations noncoding variants mice behaviors shelters asd mouse criteria autism deficits anxiety stranger containers assays conspecifics females behavior diagnosis lot interests thesis bit From Research Princeton Research Day 7 likes 319 plays Speaker Kennedy Miller Department Neuroscience
03:44 Deep Learning Genomics Methods for the Study of… Deep Learning Genomics Methods for the Study of Regulatory Signals in Breast Tissue, Briana Macedo UG '22 (2312983)	Deep Learning Genomics Methods for the Study of Regulatory Signals in Breast Tissue, Briana Macedo UG '22 (2312983) It is now possible to utilize large genomics datasets to understand how mutations in our genetic code lead to disease, and in turn, create fine-tuned therapies. We leverage predictions from a deep… deepsea chromatin profile regulation pca/umap low dimensional representations noncoding variants genes breast correlation predictions cluster dysregulation clusters processes axis profiles regions relationship background gene score cancer turn mutations genome sea From Research Princeton Research Day 1 likes 92 plays Speaker Briana Macedo Department Computer Science