Diffusion-based generative models' impressive ability to create convinci...
Transformers have become the de facto models of choice in machine learni...
With a constant increase of learned parameters, modern neural language m...
State-of-the-art neural language models can now be used to solve ad-hoc
...
Saliency methods calculate how important each input feature is to a mach...
While different language models are ubiquitous in NLP, it is hard to con...
Table2Text systems generate textual output based on structured data util...
Saliency methods – techniques to identify the importance of input featur...
We introduce GEM, a living benchmark for natural language Generation (NL...
In Marius von Senden's Space and Sight, a newly sighted blind patient
de...
Deep neural networks excel at finding hierarchical representations that ...
MiniConf is a framework for hosting virtual academic conferences motivat...
De novo therapeutic design is challenged by a vast chemical repertoire a...
Despite the recent success of GANs in synthesizing images conditioned on...
The recent COVID-19 pandemic has highlighted the need for rapid therapeu...
Despite the success of Generative Adversarial Networks (GANs), mode coll...
Large language models can produce powerful contextual representations th...
Classifiers are among the most widely used supervised machine learning
a...
Deep learning models require the configuration of many layers and parame...
Automation of tasks can have critical consequences when humans lose agen...
The rapid improvement of language models has raised the specter of abuse...
Generative Adversarial Networks (GANs) have achieved impressive results ...
Application of neural networks to a vast variety of practical applicatio...
Data science requires time-consuming iterative manual activities. In
par...
Generative Adversarial Networks (GANs) have recently achieved impressive...
Neural Sequence-to-Sequence models have proven to be accurate and robust...
Recurrent neural networks, and in particular long short-term memory (LST...