ASdb: a system for classifying owners of autonomous systems
While Autonomous Systems (ASes) are crucial for routing Internet traffic, organizations that
own them are little understood. Regional Internet Registries (RIRs) inconsistently collect …
own them are little understood. Regional Internet Registries (RIRs) inconsistently collect …
Instructdet: Diversifying referring object detection with generalized instructions
We propose InstructDET, a data-centric method for referring object detection (ROD) that
localizes target objects based on user instructions. While deriving from referring expressions …
localizes target objects based on user instructions. While deriving from referring expressions …
Revisiting few-shot object detection with vision-language models
Few-shot object detection (FSOD) benchmarks have advanced techniques for detecting new
categories with limited annotations. Existing benchmarks repurpose well-established …
categories with limited annotations. Existing benchmarks repurpose well-established …
Human–robot dialogue annotation for multi-modal common ground
In this paper, we describe the development of symbolic representations annotated on
human–robot dialogue data to make dimensions of meaning accessible to autonomous …
human–robot dialogue data to make dimensions of meaning accessible to autonomous …
What you say is what you show: Visual narration detection in instructional videos
Narrated''how-to''videos have emerged as a promising data source for a wide range of
learning problems, from learning visual representations to training robot policies. However …
learning problems, from learning visual representations to training robot policies. However …
Bridging the gap: Using deep acoustic representations to learn grounded language from percepts and raw speech
Learning to understand grounded language, which connects natural language to percepts,
is a critical research area. Prior work in grounded language acquisition has focused …
is a critical research area. Prior work in grounded language acquisition has focused …
Augmenting simulation data with sensor effects for improved domain transfer
AJ Berlier, A Bhatt, C Matuszek - European Conference on Computer …, 2022 - Springer
Simulation provides vast benefits for the field of robotics and Human-Robot Interaction (HRI).
This study investigates how sensor effects seen in the real domain can be modeled in …
This study investigates how sensor effects seen in the real domain can be modeled in …
Artificial Dreams: Surreal Visual Storytelling as Inquiry Into AI'Hallucination'
BA Halperin, SM Lukin - Proceedings of the 2024 ACM Designing …, 2024 - dl.acm.org
What does it mean for stochastic artificial intelligence (AI) to “hallucinate” when performing a
literary task as open-ended as creative visual storytelling? In this paper, we investigate AI …
literary task as open-ended as creative visual storytelling? In this paper, we investigate AI …
What Do Machine Learning Researchers Mean by" Reproducible"?
The concern that Artificial Intelligence (AI) and Machine Learning (ML) are entering a"
reproducibility crisis" has spurred significant research in the past few years. Yet with each …
reproducibility crisis" has spurred significant research in the past few years. Yet with each …
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
Data curation is a field with origins in librarianship and archives, whose scholarship and
thinking on data issues go back centuries, if not millennia. The field of machine learning is …
thinking on data issues go back centuries, if not millennia. The field of machine learning is …