Overview
Neural Conditional Probability for Uncertainty Quantification Vladimir R. Kostic
We introduce Neural Conditional Probability (NCP), an operator-theoretic approach to learning conditional distributions with a focus on statistical inference tasks.
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
This lack of rich textual edge annotations significantly limits the exploration of contextual relationships between entities, hindering deeper insights into graph-structured data.
Initializing Services in Interactive ML Systems for Diverse Users
This paper investigates ML systems serving a group of users, with multiple models/services, each aimed at specializing to a sub-group of users.
BIGOS V2 Benchmark for Polish ASR: Curated Datasets and Tools for Reproducible Evaluation
The Polish language is spoken by more than 50 million people worldwide.
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
In this paper, we introduce a novel class of backdoors in transformer models, that, in contrast to prior art, are unelicitable in nature.
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track The State of Data Curation at NeurIPS: Appendix A. Rubric 2
A Spoken Language Dataset of Descriptions for Speech - Based Gro unded Language Learning.