Oceania
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
A new framework is proposed in this paper to address these issues.
An Improved Empirical Fisher Approximation for Natural Gradient Descent
Despite its ease of implementation, the EF approximation has its theoretical and practical limitations.
Certified Adversarial Robustness via Randomized ฮฑ-Smoothing for Regression Models
Certified adversarial robustness of large-scale deep networks has progressed substantially after the introduction of randomized smoothing.
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Instrumental variables (IVs) provide a powerful strategy for identifying causal effects in the presence of unobservable confounders.
Appendix A Proteomics Terminology and Acronyms A.1 Proteomics Terminology
Table 9 highlights interesting patterns observed in Figure 3. First, the same modification occurring at
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
The field of proteomics aims to study and understand the complex landscape of proteins present within a biological system.
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images Supplementary Materials
Fish-10K was manually curated with the help of biological experts co-authored in this paper.
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
Hence, we consider asking a VLM to provide the scientific name of the organism shown in a given image. There are two types of questions that we consider for this task. First, we consider open-ended questions, where we do not provide any answer choices (or options) to the VLM in the input prompt.
Towards Multi-dimensional Explanation Alignment for Medical Classification
The lack of interpretability in the field of medical image analysis has significant ethical and legal implications.