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09/11/2023
Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task
The evolution of Generative Pre-trained Transformer (GPT) models has led...
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07/19/2023
Explaining Autonomous Driving Actions with Visual Question Answering
The end-to-end learning ability of self-driving vehicles has achieved si...
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06/29/2023
A negation detection assessment of GPTs: analysis with the xNot360 dataset
Negation is a fundamental aspect of natural language, playing a critical...
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04/14/2023
How well do SOTA legal reasoning models support abductive reasoning?
We examine how well the state-of-the-art (SOTA) models used in legal rea...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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09/06/2022
Depression Symptoms Modelling from Social Media Text: An Active Learning Approach
A fundamental component of user-level social media language based clinic...
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12/21/2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Autonomous driving has achieved a significant milestone in research and ...
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11/20/2021
Towards safe, explainable, and regulated autonomous driving
There has been growing interest in the development and deployment of aut...
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06/24/2021
A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language
We analyze the process of creating word embedding feature representation...
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06/21/2021
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text
We focus on exploring various approaches of Zero-Shot Learning (ZSL) and...
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05/26/2021
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments
In this paper, we present empirical analysis on basic and depression spe...
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12/21/2018
A local search 4/3-approximation algorithm for the minimum 3-path partition problem
Given a graph G = (V, E), the 3-path partition problem is to find a mini...
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11/15/2018
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering
Duplicate question detection is an ongoing challenge in community questi...
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09/15/2018
Approximation algorithms for the three-machine proportionate mixed shop scheduling
A mixed shop is a manufacturing infrastructure designed to process a mix...
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03/07/2018
Approximation algorithms for two-machine flow-shop scheduling with a conflict graph
Path cover is a well-known intractable problem that finds a minimum numb...
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11/26/2017
An Introduction to Deep Visual Explanation
The practical impact of deep learning on complex supervised learning pro...
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11/17/2017
Using KL-divergence to focus Deep Visual Explanation
We present a method for explaining the image classification predictions ...
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03/27/2013