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MedCATTrainer
MedCATTrainer is a web-based interface for inspecting, adding and correcting biomedical NER+L models through active learning. An additional interface allows research specific... -
Diffusion Boosted Trees
Combining the merits of both denoising diffusion probabilistic models and gradient boosting, the diffusion boosting paradigm is introduced for tackling supervised learning... -
RL Boosting via Weak Supervised Learning
The dataset used in the paper is a reinforcement learning dataset, where the goal is to learn a policy that maximizes the expected return in a Markov decision process. -
JSP Dataset
A dataset of sequences from a set of 200 JSP instances with 8 jobs and 8 machines. The set of instances has been generated following the guidelines of [Taillard, 1993]. Then,... -
Learning to Reach Goals via Iterated Supervised Learning
The dataset used in the paper is a collection of trajectories for goal-conditioned supervised learning tasks.
