Education
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
Instructional "how-to" videos online allow users to master new skills and everyday DIY tasks, from
COOM: A Game Benchmark for Continual Reinforcement Learning Tristan Tomilin 1 Meng Fang
RL benchmark tailored for embodied pixel-based RL.
A Datasheet for S
These sentence pairs will serve as a means to evaluate machines' commonsense reasoning abilities under different extra-linguistic contexts.
Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
Recently, commonsense reasoning in text generation has attracted much attention. Generative commonsense reasoning is the task that requires machines, given a group of keywords, to compose a single coherent sentence with commonsense plausibility. While existing datasets targeting generative commonsense reasoning focus on everyday scenarios, it is unclear how well machines reason under specific geographical and temporal contexts.
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
Discriminative methods were used to execute such tasks and achieved state-of-the-art performance.
Learning Regularized Monotone Graphon Mean-Field Games
In contrast, we design a discrete-time algorithm and derive its convergence rate solely under weakly monotone conditions.
