Eleni Triantafillou @Eleni30fillou
Research scientist at Google DeepMind. Ph.D. in Machine Learning from the University of Toronto / Vector Institute. @[email protected] cs.toronto.edu/~eleni London, England Joined December 2017-
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🌟 We are very excited to announce our next #CoLLAs2024 keynote speaker: @Eleni30fillou 🌟
Very nice article by @alisonmsnyder in @axios Science on machine unlearning, interviewing @SethInternet, @zacharylipton, @thegautamkamath, and myself, discussing fundamental challenges and progress thus far.
Machine Unlearning was featured in @axios Science this week ft. myself, @thegautamkamath, @zacharylipton, and work of @Eleni30fillou, in an excellent writeup from @alisonmsnyder axios.com/2024/01/12/ai-…
📢We're excited to have Dr. Eleni Triantafillou, who will continue our series of invited talks, explaining how to reuse pretrained models for learning and unlearning tasks! 🔵🔴 @Eleni30fillou @neurips2023 #NeurIPS2023 #unireps
Thrilled to announce that we have an opening for a Student Researcher to come work with us at @GoogleDeepMind! If you’re interested in multimodal learning, in-context adaptation, memory-augmented perception, or active learning, do consider applying: deepmind.google/about/careers/
Can we make NNs forget a subset of their training data? Check out our paper introducing SCRUB, a new unlearning algorithm, accepted at #NeurIPS2023 (latest preprint: arxiv.org/abs/2302.09880) - with @meghdadkurmanji @PeterTRIANTAFI1 and Jamie Hayes.
The NeurIPS @unlearning_2023 Competition is open for submissions @kaggle→ goo.gle/45ONCc1! With the goal of developing algorithms that can unlearn a subset of training data, the competition is open to all, with prizes for the top performers. More from our earlier blog ↓
The NeurIPS @unlearning_2023 Competition is open for submissions @kaggle→ goo.gle/45ONCc1! With the goal of developing algorithms that can unlearn a subset of training data, the competition is open to all, with prizes for the top performers. More from our earlier blog ↓
Soooo excited that our unlearning competition is now live and accepting submissions 🎉 Can’t wait to see what unlearning algorithms you come up with!!
Soooo excited that our unlearning competition is now live and accepting submissions 🎉 Can’t wait to see what unlearning algorithms you come up with!!
SFDA methods perform poorly on a realistic set of distribution shifts in bioacoustics. Check out our work where we present a simple method that is more robust. Appearing at #ICML2023, joint work w/ Malik Boudiaf, Tom Denton, Bart van Merrienboer, @dumoulinv.
SFDA methods perform poorly on a realistic set of distribution shifts in bioacoustics. Check out our work where we present a simple method that is more robust. Appearing at #ICML2023, joint work w/ Malik Boudiaf, Tom Denton, Bart van Merrienboer, @dumoulinv.
We’re thrilled to announce the first competition on unlearning, as part of the #neurips competition track! Joint work w @fpedregosa, @dumoulinv, @gkdziugaite, @bouzoukipunks, @KurmanjiMeghdad, @PeterTRIANTAFI1, Isabelle Guyon and others. Read our blog post!
We’re thrilled to announce the first competition on unlearning, as part of the #neurips competition track! Joint work w @fpedregosa, @dumoulinv, @gkdziugaite, @bouzoukipunks, @KurmanjiMeghdad, @PeterTRIANTAFI1, Isabelle Guyon and others. Read our blog post!
Thanks for hosting me, Haiping! I had a great time chatting with folks at Sheffield!
Thanks for hosting me, Haiping! I had a great time chatting with folks at Sheffield!
Join us for the virtual part of the #NeurIPS #Metalearning workshop. We have a 2-hour virtual poster session tomorrow (Dec. 9th) starting at 17:00 CET / 11:00 ET / 8:00 PT. meta-learn.github.io/2022/#program
I'll be co-presenting a tutorial called "Algorithmic Fairness: At The Intersections" on *Monday* at #NeurIPS2022 That's right! The in-person conference may be ending today but there's a bunch of cool online sessions (tutorials, oral talks, more workshops) happening next week
Interested in few-shot learning? I'll share my perspective on the evolution of benchmarks and methods and open problems in a #NeurIPS2022 tutorial (Dec 5 10am GMT) incl a panel w/ @awasthi_a_, @ermgrant, @neilhoulsby, @priyanka_17, Rich Turner, @NanaYaaSally. Come ask questions!
My alma matter, #Sharif_University was under attack today. The best & brightest students of the country, were beaten,shot at & arrested. We should be their voice. It’s against the law for the police & military forces to enter universities. #MahsaAmini #مهسا_امینی
📢Excited to announce that our "Sixth Workshop on Meta-Learning" has been accepted in #NeurIPS2022. w/ co-organizer @FrankRHutter, @joavanschoren, @Qi_Lei_, @Eleni30fillou, @artificialfabio. Hope to see you in person in New Orlean, stay tuned for more info.
Matching fine-tuning performance with a linear probe! Check out our new paper: “Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning” 👇! 📜arxiv.org/abs/2201.03529 📁github.com/google-researc… with @dumoulinv @hugo_larochelle and @mc_mozer
Today, @RaiaHadsell, @kchonyc and I are happy to announce the creation of a new journal: Transaction on Machine Learning Research (TMLR) Learn more in our post: medium.com/@hugo_larochel…
Join us for the MetaLearn'21 workshop @NeurIPSConf on Monday for talks by our incredible speakers, a panel discussion & posters spanning all areas of Meta Learning, AutoML, BO & more. Accepted papers available: meta-learn.github.io
To accompany our VTAB+MD paper presented at today's 8:30AM PST NeurIPS Dataset and Benchmark poster session, we are releasing a Tensorflow-Datasets interface to Meta-Dataset. w/ @neilhoulsby @utkuevci @XiaohuaZhai Ross Goroshin @sylvain_gelly @hugo_larochelle 1/3
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1K Followers 635 Following Curiosity-driven researcher @Cambridge_Uni & @MPI_IS. All opinions are my own.humbled to announce that i have been named one of the top 100 most influential people in my extended family's whatsapp group! 🥳
when i said i'm humbled by my colleagues, @_ddjohnson is one of the people i was thinking of. he single-handedly built this amazing JAX toolkit that you should definitely check out. i'm already using it on one of my active research projects, and it was very easy to integrate!
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
super happy to announce that i was awarded an @NSERC_CRSNG discovery grant! 🥳 these funds will go towards the phd students that are starting with me in september in @UMontreal / @Mila_Quebec . super excited to start working with them!
happy to announce our density estimation paper, led by @dumoulinv and with @_ddjohnson @hugo_larochelle and @ynd is now on @TmlrOrg ! x.com/dumoulinv/stat…
New #ExpertCertification: A density estimation perspective on learning from pairwise human preferences Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann Dauphin openreview.net/forum?id=YH3oE… #annotators #generative #annotator
Training high-quality production language models with a DP epsilon < 1? Many experts said it couldn't be done... ...But my team at Google Research just proved them wrong 🔥 Find out how we achieved this our latest blog post: goo.gle/42RXzob
In deep nets, we observe good generalization together with memorization. In this new work, we show that, in stochastic convex optimization, memorization of most of the training data is a necessary feature of optimal learning.
Classical ML approaches suggest memorization can harm generalization. However, the success of overparameterized DNNs challenges this belief. What is the role of memorization in learning? 🤔🤔🤔 We studied this question in the context of stochastic convex optimization.
someone just shared me this footage on stage at the 3090 club in NOLA at this last #NeurIPS2023 , with the amazing @umutsimsekli on bass. fun fact, the band's guitarist didn't have a pick so i had to play with a nickel 😂 such a fun night!
We've put together a survey on privacy considerations in LLMs that is up on ArXiv, and a page on our github that collects links to all of the papers and code! We cover: memorization, privacy attacks, unlearning, DP-training and more! Thanks to Peter Chang @D3Harvard who wrote…
New paper by my colleagues @_ddjohnson, @pcastr, @hugo_larochelle, @ynd, and me on learning from pairwise human preferences seen through the lens of probabilistic modelling: arxiv.org/abs/2311.14115.
@pcastr @Eleni30fillou I didn't go either! Lmk if you get the scoop from Eleni 😉
@SashaMTL I unfortunately wasn't able to attend the competition at NeurIPS, but was hoping to get a rundown from @Eleni30fillou when I see her next month 😂
This year I'm not at #NeurIPS2023. But I'll be running 5k every day this week to feel as if I had to walk across the New Orleans Convention Center.
Congrats to T Mikolov, @ilyasut, K Chen, @greg_corrado, @JeffDean for winning the Test of Time Award @NeurIPSConf for their word2vec paper! If interested to know *why* king - man + woman = queen, see our ICML 2019 Best Paper hon mention (proceedings.mlr.press/v97/allen19a/a…) #NeurIPS2023
On behalf of our co-authors Tomáš Mikolov, @ilyasut and Kai Chen, @greg_corrado and I were delighted to accept the #NeurIPS2023 Test of Time Award for the "word2vec" paper (arxiv.org/abs/1310.4546). Thanks to the @NeurIPSConf test of time committee for honoring us with this…
Feeling so blessed to be in Quito to celebrate my abuelita's 100th birthday this weekend
Though we've heard many stories (visa refusals, long wait times), we don't yet have data on how many attendees face difficulties attending @NeurIPSConf in person. Please help us advocate for reducing barriers to participation by filling out our survey: ➡️
We're launching a survey on barriers to in-person participation at NeurIPS to inform potential solutions to the difficulties of prospective in-person attendees. If you faced visa or other difficulties attending #NeurIPS2023, please complete the survey at: buff.ly/3GaY1Uf
Cool team names spotted at the unlearning challenge leaderboard: "Forget, but never forgive", "Ctrl+Z Squad", "Do I Know You?", "It's just a burning memory..." kaggle.com/competitions/n…
After a long quiet intro I found myself in this groove for plaisir d’amour, a lovely french song.. kinda speeding up as I go… really i’m just trying to put some positive stuff out here… plaisir d’amour
Thanks @iclr_conf for working with us at @TmlrOrg on this first partnership for the 2024 conference!
We welcome selected @TmlrOrg publications to be presented at #ICLR2024: blog.iclr.cc/2023/10/06/aut…
Our paper on #machineunlearning will be presented at #NeurIPS2023 . In this paper, we introduce SCRUB, a method to efficiently unlearn from deep models at scale. Check out the latest preprint!
Can we make NNs forget a subset of their training data? Check out our paper introducing SCRUB, a new unlearning algorithm, accepted at #NeurIPS2023 (latest preprint: arxiv.org/abs/2302.09880) - with @meghdadkurmanji @PeterTRIANTAFI1 and Jamie Hayes.
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