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Found 4 papers, 2 papers with code
Select to Perfect: Imitating desired behavior from large multi-agent data
Desired characteristics for an AI agent can be expressed by assigning desirability scores, which we assume are not assigned to individual behaviors but to collective trajectories.
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
First, for space, we show that spatial augmentations such as cropping do work well for videos too, but that previous implementations, due to the high processing and memory cost, could not do this at a scale sufficient for it to work well.
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Replay in neural networks involves training on sequential data with memorized samples, which counteracts forgetting of previous behavior caused by non-stationarity.
Deep Industrial Espionage
The theory of deep learning is now considered largely solved, and is well understood by researchers and influencers alike.
