Curious what @OneMileataTime or @garyleff think — is breakage just part of the loyalty design, or a real user pain?
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Roberto Capobianco
1.4K posts
Roberto Capobianco
@webrot
Research Scientist / Assistant Professor in Artificial Intelligence, Machine Learning and Robot Learning
Italy Katılım Eylül 2009
237 Takip Edilen91 Takipçiler
Roberto Capobianco retweetledi
A nice write up on our XAI for DRL workshop at AAAI earlier this year with @larosabiagio @runnerdude97
@webrot @spideralessio @MProietti_
AIhub@aihuborg
#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models aihub.org/2024/04/12/aaa…
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Roberto Capobianco retweetledi
Heading to #AAAI2024 in a few hours!! If anyone is around drop me a message on Whova and we can meet there! ps: visit our workshop in the quoted message!
Leilani sigmoid.social/@leilani@leilanigilpin
Heading to #AAAI2024 today with @runnerdude97 to meet up with @larosabiagio and others for the XAI for DRL workshop: xai4drl.github.io. Let me know if you're around!
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Roberto Capobianco retweetledi
Heading to #AAAI2024 today with @runnerdude97 to meet up with @larosabiagio and others for the XAI for DRL workshop: xai4drl.github.io. Let me know if you're around!
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Roberto Capobianco retweetledi
I and @leilanigilpin are going to present the poster of this work tomorrow morning (10:45am) at #NeurIPS2023 . Paper #1522. Come and chat together about it!
Biagio La Rosa@larosabiagio
Interested in understanding what neurons of #DeepNeuralNetworks are able to recognize at different ranges of activations? Thrilled to announce that our #XAI paper has been accepted at #NeurIPS2023 (openreview.net/forum?id=51PLY…) and it is going to be presented as a poster in 🧵1/5 >>
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Roberto Capobianco retweetledi
Current LLMs are trained on text data that would take 20,000 years for a human to read.
And still, they haven't learned that if A is the same as B, then B is the same as A.
Humans get a lot smarter than that with comparatively little training data.
Even corvids, parrots, dogs, and octopuses get smarter than that very, very quickly, with only 2 billion neurons and a few trillion "parameters."
Yann LeCun@ylecun
Animals and humans get very smart very quickly with vastly smaller amounts of training data. My money is on new architectures that would learn as efficiently as animals and humans. Using more data (synthetic or not) is a temporary stopgap made necessary by the limitations of our current approaches.
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Roberto Capobianco retweetledi
Come join our team for an exciting internship!
Sony AI@SonyAI_global
As our work in Game AI expands, so does our team. Sony AI is now hiring for a Reinforcement Learning Research Intern to join our global Game AI group. Join us in leveraging AI to develop new, enriching gaming experiences. ow.ly/e7BI50Q6aek
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Roberto Capobianco retweetledi
Please RT! Two weeks left to submit your work to our workshop on #eXplainableAI approaches for Deep #ReinforcementLearning #AAAI24, Vancouver (xai4drl.github.io) Deadline: Nov 15!
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Roberto Capobianco retweetledi
Amazing (informal) news: Our paper has been accepted at #NeurIPS2023 and our workshop has been accepted at #AAAI2024 . I will share more details in the next few days about both of them. Both XAI-based! I think it's a great way to end my PhD journey. >>
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Roberto Capobianco retweetledi
AGI will be able to install CUDA correctly on the first try.
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Roberto Capobianco retweetledi
1/9 We are very happy to share that our new paper titled "State of the Art of Visual Analytics for Explainable Deep Learning" has just been published by Computer Graphics Forum.
Open Access paper: doi.org/10.1111/cgf.14…
Interactive explorable survey: aware-diag-sapienza.github.io/VA4XDL/survis/
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Roberto Capobianco retweetledi
Train a weight matrix to encode the backpropagation learning algorithm itself. Run it on the neural net itself. Meta-learn to improve it! Generalizes to datasets outside of the meta-training distribution. v4 2022 with @LouisKirschAI arxiv.org/abs/2012.14905
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Roberto Capobianco retweetledi
I'm happy to announce that our paper 📄"A self-interpretable module for deep image classification on small data" has been published today in the Applied Intelligence Journal (rdcu.be/cS4P5). 1/6 >>
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Roberto Capobianco retweetledi
Episode 4. The one with "Outracing champion Gran Turismo drivers with deep reinforcement learning" by @webrot @Florian_fuu @leilanigilpin @PeterStone_TX @heyitdeclan @csherstan @neonleonb @HKitano #GTSophy @SonyAI_global
🎙️🙌
rss.com/podcasts/the-w…
👇📑
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Roberto Capobianco retweetledi
Gradient descent/ascent can be inefficient to find saddle point (Nash equilibrium) for min-max games, because of spiralling behaviour. en.wikipedia.org/wiki/Nash_equi…
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