research
∙
08/27/2023
Situated Natural Language Explanations
Natural language is among the most accessible tools for explaining decis...
share
research
∙
08/24/2023
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
This paper explores how graph neural networks (GNNs) can be used to enha...
research
∙
07/28/2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Large language models (LLMs) have shown remarkable capacity for in-conte...
research
∙
07/07/2023
Improving Automatic Quotation Attribution in Literary Novels
Current models for quotation attribution in literary novels assume varyi...
research
∙
05/04/2023
MLHOps: Machine Learning for Healthcare Operations
Machine Learning Health Operations (MLHOps) is the combination of proces...
research
∙
03/15/2023
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters
Novel view synthesis (NVS) is a challenging task in computer vision that...
research
∙
02/07/2023
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support
Building Agent Assistants that can help improve customer service support...
research
∙
10/13/2022
Predicting Fine-Tuning Performance with Probing
Large NLP models have recently shown impressive performance in language ...
research
∙
09/20/2022
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data
We present a novel neural radiance model that is trainable in a self-sup...
research
∙
09/07/2022
Conformal Mirror Descent with Logarithmic Divergences
The logarithmic divergence is an extension of the Bregman divergence mot...
research
∙
08/25/2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
The ability to generalize out-of-domain (OOD) is an important goal for d...
research
∙
06/03/2022
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric
In this work, we evaluate various existing dialogue relevance metrics, f...
research
∙
05/06/2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Machine learning models in safety-critical settings like healthcare are ...
research
∙
04/30/2022
Detoxifying Language Models with a Toxic Corpus
Existing studies have investigated the tendency of autoregressive langua...
research
∙
04/28/2022
MeSHup: A Corpus for Full Text Biomedical Document Indexing
Medical Subject Heading (MeSH) indexing refers to the problem of assigni...
research
∙
03/14/2022
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling
Currently, Medical Subject Headings (MeSH) are manually assigned to ever...
research
∙
02/25/2022
On the data requirements of probing
As large and powerful neural language models are developed, researchers ...
research
∙
02/24/2022
Neural reality of argument structure constructions
In lexicalist linguistic theories, argument structure is assumed to be p...
research
∙
02/09/2022
Improving greedy core-set configurations for active learning with uncertainty-scaled distances
We scale perceived distances of the core-set algorithm by a factor of un...
research
∙
01/27/2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Large pretrained language models (LMs) like BERT have improved performan...
research
∙
10/17/2021
Quantifying the Task-Specific Information in Text-Based Classifications
Recently, neural natural language models have attained state-of-the-art ...
research
∙
10/13/2021
Language Modelling via Learning to Rank
We consider language modelling (LM) as a multi-label structured predicti...
research
∙
09/01/2021
An unsupervised framework for tracing textual sources of moral change
Morality plays an important role in social well-being, but people's mora...
research
∙
07/13/2021
What do writing features tell us about AI papers?
As the numbers of submissions to conferences grow quickly, the task of a...
research
∙
05/16/2021
How is BERT surprised? Layerwise detection of linguistic anomalies
Transformer language models have shown remarkable ability in detecting w...
research
∙
04/15/2021
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
Eye movement data during reading is a useful source of information for u...
research
∙
04/13/2021
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems
Automatically evaluating text-based, non-task-oriented dialogue systems ...
research
∙
03/09/2021
Challenges for Reinforcement Learning in Healthcare
Many healthcare decisions involve navigating through a multitude of trea...
research
∙
02/06/2021
Speaker attribution with voice profiles by graph-based semi-supervised learning
Speaker attribution is required in many real-world applications, such as...
research
∙
01/28/2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Deep neural networks (DNNs) used for brain-computer-interface (BCI) clas...
research
∙
11/19/2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
Clinical machine learning is increasingly multimodal, collected in both ...
research
∙
11/01/2020
Semantic coordinates analysis reveals language changes in the AI field
Semantic shifts can reflect changes in beliefs across hundreds of years,...
research
∙
10/04/2020
On Losses for Modern Language Models
BERT set many state-of-the-art results over varied NLU benchmarks by pre...
research
∙
10/01/2020
Examining the rhetorical capacities of neural language models
Recently, neural language models (LMs) have demonstrated impressive abil...
research
∙
09/19/2020
Word class flexibility: A deep contextualized approach
Word class flexibility refers to the phenomenon whereby a single word fo...
research
∙
09/15/2020
An information theoretic view on selecting linguistic probes
There is increasing interest in assessing the linguistic knowledge encod...
research
∙
07/28/2020
Ethics of Artificial Intelligence in Surgery
Here we discuss the four key principles of bio-medical ethics from surgi...
research
∙
07/17/2020
Sequential Explanations with Mental Model-Based Policies
The act of explaining across two parties is a feedback loop, where one p...
research
∙
05/22/2020
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Deep speaker embedding models have been commonly used as a building bloc...
research
∙
03/02/2020
Identification of primary and collateral tracks in stuttered speech
Disfluent speech has been previously addressed from two main perspective...
research
∙
01/07/2020
The Ground Truth Trade-Off in Wearable Sensing Studies
Perez et al's study using the Apple Watch to identify atrial fibrillatio...
research
∙
10/20/2019
Representation Learning for Discovering Phonemic Tone Contours
Tone is a prosodic feature used to distinguish words in many languages, ...
research
∙
09/30/2019
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
Understanding the vulnerability of linguistic features extracted from no...
research
∙
06/24/2019
Variations on the Chebyshev-Lagrange Activation Function
We seek to improve the data efficiency of neural networks and present no...
research
∙
04/04/2019
Generative Adversarial Networks for text using word2vec intermediaries
Generative adversarial networks (GANs) have shown considerable success, ...
research
∙
03/03/2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Machine learning has shown promise for automatic detection of Alzheimer'...
research
∙
02/06/2019
Centroid-based deep metric learning for speaker recognition
Speaker embedding models that utilize neural networks to map utterances ...
research
∙
11/29/2018
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech
Speech datasets for identifying Alzheimer's disease (AD) are generally r...
research
∙
11/26/2018
Robustness against the channel effect in pathological voice detection
Many people are suffering from voice disorders, which can adversely affe...
research
∙
11/20/2018