github.com/layer8secure/SilentHound
layer8secure/SilentHound
Quietly enumerate an Active Directory Domain via LDAP parsing users, admins, groups, etc. (⭐ 500)
en.wikipedia.org/wiki/Kingdom_%28biology%29
Kingdom (biology) - Wikipedia
In biology, a kingdom is the second highest taxonomic rank, just below domain. Kingdoms are divided into smaller groups called phyla (singular phylum)
arxiv.org/abs/2601.13580v1
Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Tran…
We introduce Neural Organ Transplantation (NOT), a modular adaptation framework that enables trained transformer layers to function as reusable transferable checkpoints for domain adaptation. Unlike conventional fine-tuning approaches that tightly co...
arxiv.org/abs/2406.11061v2
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
We study generalization and knowledge reuse capabilities of deep neural networks in the domain of abstract visual reasoning (AVR), employing Raven's Progressive Matrices (RPMs), a recognized benchmark task for assessing AVR abilities. Two knowledge t...
arxiv.org/abs/1804.02894v1
Approximation of maximal plurisubharmonic functions
Let $u$ be a maximal plurisubharmonic function in a domain $Ω\subset\mathbb{C}^n$ ($n\geq 2$). It is classical that, for any $U\SubsetΩ$, there exists a sequence of bounded plurisubharmonic functions $PSH(U)\ni u_j\searrow u$ satisfying the propert...
arxiv.org/abs/2305.10892v2
EventNet-ITA: Italian Frame Parsing for Events
This paper introduces EventNet-ITA, a large, multi-domain corpus annotated full-text with event frames for Italian. Moreover, we present and thoroughly evaluate an efficient multi-label sequence labeling approach for Frame Parsing. Covering a wide ra...
arxiv.org/abs/2406.09818v3
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Cl…
To handle the vast amounts of qualitative data produced in corporate climate communication, stakeholders increasingly rely on Retrieval Augmented Generation (RAG) systems. However, a significant gap remains in evaluating domain-specific information r...
arxiv.org/abs/2311.10051v1
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Despite the prevalence of tabular datasets, few-shot learning remains under-explored within this domain. Existing few-shot methods are not directly applicable to tabular datasets due to varying column relationships, meanings, and permutational invari...
arxiv.org/abs/2407.20571v1
Considering Visualization Example Galleries
Example galleries are often used to teach, document, and advertise visually-focused domain-specific languages and libraries, such as those producing visualizations, diagrams, or webpages. Despite their ubiquity, there is no consensus on the role of "...
arxiv.org/abs/2506.21198v2
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
Panoramic image processing is essential for omni-context perception, yet faces constraints like distortions, perspective occlusions, and limited annotations. Previous unsupervised domain adaptation methods transfer knowledge from labeled pinhole data...
en.wikipedia.org/wiki/Micro-volunteering
Micro-volunteering - Wikipedia
registered the phrase "microvoluntarios" as a web domain name. Microvoluntarios created the first publicly accessible online micro-volunteering platform in May
github.com/blueimp/jQuery-File-Upload
blueimp/jQuery-File-Upload
File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP,…
arxiv.org/abs/1701.07538v1
The join construction
In homotopy type theory we can define the join of maps as a binary operation on maps with a common co-domain. This operation is commutative, associative, and the unique map from the empty type into the common codomain is a neutral element. Moreover,...
arxiv.org/abs/2309.17241v1
Measuring the Robustness of Predictive Probability for Early Stopping in Experim…
Physical experiments in the national security domain are often expensive and time-consuming. Test engineers must certify the compatibility of aircraft and their weapon systems before they can be deployed in the field, but the testing required is time...
arxiv.org/abs/2501.12826v1
Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek
Natural Language Processing (NLP) for lesser-resourced languages faces persistent challenges, including limited datasets, inherited biases from high-resource languages, and the need for domain-specific solutions. This study addresses these gaps for M...
github.com/jackyaz/uiDivStats
jackyaz/uiDivStats
A graphical representation of domain blocking performed by Diversion (⭐ 39)
arxiv.org/abs/2204.09560v2
Understanding and Preventing Capacity Loss in Reinforcement Learning
The reinforcement learning (RL) problem is rife with sources of non-stationarity, making it a notoriously difficult problem domain for the application of neural networks. We identify a mechanism by which non-stationary prediction targets can prevent...
arxiv.org/abs/2501.06491v2
Improving Requirements Classification with SMOTE-Tomek Preprocessing
This study emphasizes the domain of requirements engineering by applying the SMOTE-Tomek preprocessing technique, combined with stratified K-fold cross-validation, to address class imbalance in the PROMISE dataset. This dataset comprises 969 categori...
arxiv.org/abs/2403.14578v1
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the…
Large Language Models (LLMs) increasingly support applications in a wide range of domains, some with potential high societal impact such as biomedicine, yet their reliability in realistic use cases is under-researched. In this work we introduce the R...
arxiv.org/abs/2006.14808v1
Text Detection on Roughly Placed Books by Leveraging a Learning-based Model Trai…
Text detection enables us to extract rich information from images. In this paper, we focus on how to generate bounding boxes that are appropriate to grasp text areas on books to help implement automatic text detection. We attempt not to improve a lea...