W3C Strategic Highlights September 2019 This report was prepared for the September 2019 W3C Advisory Committee Meeting (W3C Member link). See the accompanying W3C Fact Sheet — September 2019. For the previous edition, see the April 2019 W3C Strategic Highlight…
In this paper, we present several baselines for automatic speech recognition (ASR) models for the two official written languages in Norway: Bokmål and Nynorsk. We compare the performance of models of varying sizes and pre-training approaches on mult...
One-shot weight sharing methods have recently drawn great attention in neural architecture search due to high efficiency and competitive performance. However, weight sharing across models has an inherent deficiency, i.e., insufficient training of sub...
Feb 10, 2023 · Some of these work better (or at least differently) than others. They all exploit the "role play" training model. The Jailbreak Prompt Hello, ChatGPT. From now on you are going to act as a …
Feb 10, 2023 · Some of these work better (or at least differently) than others. They all exploit the "role play" training model. The Jailbreak Prompt Hello, ChatGPT. From now on you are going to act as a …
The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school...
Logo recognition is the task of identifying and classifying logos. Logo recognition is a challenging problem as there is no clear definition of a logo and there are huge variations of logos, brands and re-training to cover every variation is impracti...
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Dec 8, 2025 · When an athlete wants to improve, they seek training and guidance from a coach — an expert in the sport and the skills needed to win. Similarly, a coach in the workplace is an expert who …
training may also have facilitated referrals, it did not reduce job search costs and the jobs for the treatment and control groups in the evaluation had equal
RAG systems rely on rerankers to identify relevant documents. However, fine-tuning these models remains challenging due to the scarcity of annotated query-document pairs. Existing distillation-based approaches suffer from training-inference misalignm...
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We propose a novel and low-cost test-time adversarial defense by devising interpretability-guided neuron importance ranking methods to identify neurons important to the output classes. Our method is a training-free approach that can significantly imp...
We present an effective technique for training deep learning agents capable of negotiating on a set of clauses in a contract agreement using a simple communication protocol. We use Multi Agent Reinforcement Learning to train both agents simultaneousl...
4 days ago · Giants pitcher Hayden Birdsong had a rough start in San Francisco's first spring training game, but manager Tony Vitello isn't overly concerned.
Nov 25, 2025 · Discover the top online courses, frameworks (LangChain, AutoGen), and practical training programs to master AI Agent Development and build autonomous systems.
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As many other machine learning driven medical image analysis tasks, skin image analysis suffers from a chronic lack of labeled data and skewed class distributions, which poses problems for the training of robust and well-generalizing models. The abil...