40 citations · 246 across the 29 of their papers we have counts for
30 papers
Improving genetic algorithms performance via deterministic population shrinkage
Juan Luis Jiménez Laredo, Carlos Fernandes, Juan Julián Merelo +1
Despite the intuition that the same population size is not needed throughout the run of an Evolutionary Algorithm (EA), most EAs use a fixed population size. This paper presents an…
The Inner Sentiments of a Thought
Chris Gagne, Peter Dayan
Transformer-based large-scale language models (LLMs) are able to generate highly realistic text. They are duly able to express, and at least implicitly represent, a wide range of s…
Two steps to risk sensitivity
Chris Gagne, Peter Dayan
Distributional reinforcement learning (RL) -- in which agents learn about all the possible long-term consequences of their actions, and not just the expected value -- is of great r…
Image-to-Image Translation with Low Resolution Conditioning
Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde +1
Most image-to-image translation methods focus on learning mappings across domains with the assumption that images share content (e.g., pose) but have their own domain-specific info…
Beyond -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
Changjian Shui, Qi Chen, Jun Wen +3
We reveal the incoherence between the widely-adopted empirical domain adversarial training and its generally-assumed theoretical counterpart based on -divergence. Conc…
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Mahdieh Abbasi, Denis Laurendeau, Christian Gagne
In the object detection task, merging various datasets from similar contexts but with different sets of Objects of Interest (OoI) is an inexpensive way (in terms of labor cost) for…