PhD Student @ SAILAB | Interested in AI, Machine Learning and Continual Learning
Siena, Italy
Joined July 2020
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Simone Marullo retweeted
It has been amazing to have been back to a physical @IJCAIconf #IJCAI2022 together with @enricomeloni_ai and @MarulloSimone‼️
"Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams" proceedings: ijcai.org/proceedings/2022/4…
Lifelong agents that exist in an environment and continuosly learn are a longstanding goal of AI. Our approach, "Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams", has been accepted @IJCAIconf #IJCAI2022!
arxiv.org/abs/2204.12193
👇🧵 1/7
Simone Marullo retweeted
Exploitation of language neural representations for the retrieval and ranking of crossword clues and answers presented by @AZugarini
ceur-ws.org/Vol-3033/paper72… #clicit2021 #NLProc @AILC_NLP
Simone Marullo retweeted
#IJCAI2022
"Stochastic Coherence Over Attention Trajectory
For Continuous Learning In Video Streams"
by @TiezziMatteo, @MarulloSimone, Lapo Faggi, @enricomeloni_ai, @aleitteb and
@StefanoMelacci.
Soon @IJCAIconf ‼️
Technical report: arxiv.org/abs/2204.12193
7/7
Simone Marullo retweeted
Thanks to #NFT, noisy information can be discarded. We introduced some noise in #CIFAR10 dataset. #NFT foster the standard training process (CT) of a ResNet18. A work by @MarulloSimone , @TiezziMatteo , @KleineBottleM , @StefanoMelacci. Soon #AAAI2022 ! arxiv.org/abs/2112.09968
Simone Marullo retweeted
In Neural Friendly Training (#NFT 🐵), we show that major improvements can be obtained by introducing a temporary auxiliary neural model implementing a structured and shared transformation function - to spot regularities in the data alteration process arxiv.org/abs/2112.09968
Simone Marullo retweeted
Friendly Training (FT) alter the training data to facilitate the learning process of a neural classifier. Transformations discard the parts of information that are too complex to be handled by the network with the current weights. arxiv.org/abs/2106.10974
Simone Marullo retweeted
In Adversarial Machine Learning, Neural models alter data samples, aimed at fooling a classifier. Why not be a friend? "Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks" #AAAI22 @RealAAAI! arxiv.org/abs/2112.09968 👇🧵
Simone Marullo retweeted
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
deepai.org/publication/frien…
by Simone Marullo et al. including @TiezziMatteo
#DeepLearning #NeuralNetwork