, 2017 Paul Morse talks about how he registered for the draft in between the Korean and Vietnam War as a conscientious objector and how his faith heavily influenced his decision.https://digitalcommons.georgefox.edu/conscientious_objectors/1007/thumbnail ...
Beebe, Ralph, Bock, Cherice
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The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses [PDF]
arXivThis study explores how the Large Language Models (LLMs) adjust linguistic features to create personalized persuasive outputs. While research showed that LLMs personalize outputs, a gap remains in understanding the linguistic features of their persuasive capabilities.
arxiv
Interview with Steve and Glenda Gilroy
, 2017 Steve and Glenda Gilroy reflect on their life during the Vietnam War. Specifically, Steve talks about being drafted as a conscientious objector and how being stationed as an orderly in a hospital helped him realize what he wanted as a future career ...
Beebe, Ralph, Bock, Cherice
core
A Critical Field Guide for Working with Machine Learning Datasets [PDF]
arXivMachine learning datasets are powerful but unwieldy. Despite the fact that large datasets commonly contain problematic material--whether from a technical, legal, or ethical perspective--datasets are valuable resources when handled carefully and critically. A Critical Field Guide for Working with Machine Learning Datasets suggests practical guidance for
arxiv
Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision [PDF]
arXiv, 2016 One object class may show large variations due to diverse illuminations, backgrounds and camera viewpoints. Traditional object detection methods often perform worse under unconstrained video environments. To address this problem, many modern approaches model deep hierarchical appearance representations for object detection.
arxiv
A Political Analysis Of The Conscientious Objector [PDF]
, 1970 At the outset of this thesis certain matters should be stated and explained for the purpose of fully understanding the following pages. Although the most objective viewpoint is sought throughout this paper, common sense warns this goal cannot be totally ...
O'Donnell, Michael
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Identifying Cooperative Personalities in Multi-agent Contexts through Personality Steering with Representation Engineering [PDF]
arXivAs Large Language Models (LLMs) gain autonomous capabilities, their coordination in multi-agent settings becomes increasingly important. However, they often struggle with cooperation, leading to suboptimal outcomes. Inspired by Axelrod's Iterated Prisoner's Dilemma (IPD) tournaments, we explore how personality traits influence LLM cooperation.
arxiv
DSOD: Learning Deeply Supervised Object Detectors from Scratch [PDF]
arXiv, 2017 We present Deeply Supervised Object Detector (DSOD), a framework that can learn object detectors from scratch. State-of-the-art object objectors rely heavily on the off-the-shelf networks pre-trained on large-scale classification datasets like ImageNet, which incurs learning bias due to the difference on both the loss functions and the category ...
arxiv
SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts [PDF]
arXivRecently, sparsely-supervised 3D object detection has gained great attention, achieving performance close to fully-supervised 3D objectors while requiring only a few annotated instances. Nevertheless, these methods suffer challenges when accurate labels are extremely absent.
arxiv
ScratchDet: Training Single-Shot Object Detectors from Scratch [PDF]
arXiv, 2018 Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which incurs some additional problems: 1) The classification and detection have different degrees of sensitivity to translation, resulting in the learning objective bias; 2) The architecture is limited by ...
arxiv