Virginia Smith
@gingsmith
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RT @prthaker_: I'm very excited to share some new work This work started out in conversations with @thorn where we….
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RT @icmlconf: ICML offers an optional poster printing service Orders can be picked up the day at the Vancouver Con….
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RT @matthewyryang: 🚨 NEW PAPER: What if LLMs could tackle harder problems - not by explicitly training on longer traces, but by learning ho….
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RT @mlcmublog: Are your LLMs truly forgetting unwanted data? . In this new blog post authored by @shengyuan_26734,….
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RT @atalwalkar: I’m excited to share new work from Datadog AI Research! We just released Toto, a new SOTA (by a wide margin!) time series f….
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RT @icmlconf: Invited talked are announced. Jon Kleinberg.Pamela Samuelson.Frauke Kreuter.Anca Dragan.Andreas Kr….
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RT @AashiqMuhamed: Thrilled to share our new work on improving LLM unlearning! 🚀 .Gradient-based unlearning struggle with high cost, instab….
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RT @mlcmublog: 📈⚠️ Is your LLM unlearning benchmark measuring what you think it is? . In a new blog post authored….
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RT @andrewgwils: The ICML 2025 workshops list is online! Many exciting topics, spanning multi-agent systems, world….
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RT @setlur_amrith: How to effectively unlearn finetuning data?.❌ Approx. methods leak sensitive data.✅ Exact unlearning (eg. retraining) is….
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🔗 Learn more about the program here: 🔗 Apply here (deadline April 1, 2025):
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The Simons Institute Research Fellowship provides a salary & benefits for the duration of the program, along with housing and visa support. The fellowship is intended for junior researchers who received their PhD at most 5 years ago.
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ML systems are increasingly powered by data from many sources and stakeholders. Techniques like FL can enable secure, collaborative learning in such scenarios. The program will convene experts in ML, optimization, econ, privacy & security to bridge theory & practice in the field.
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Are you a junior researcher interested in federated and collaborative learning? Consider applying to the Simons Institute Research Fellowship (due April 1) to participate in the Spring 2026 FL/CL Program at the Simons Institute at UC Berkeley! details below 👇.
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Reminder that the abstract deadline for ICML is one week away (Jan 23). Authors should include the submission's title, abstract, and complete author list by this date. The paper itself is due a week later.
ICML submission site is now open. Note that there's an abstract deadline on Jan 23.
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RT @icmlconf: ICML submission site is now open. Note that there's an abstract deadline on Jan 23.
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RT @mlcmublog: How can we train LLMs to solve complex challenges beyond just data scaling? In a new blogpost, @set….
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#4: Reviewing takes a lot of work and reviews themselves contain highly valuable information. In line with NeurIPS & ICLR, which have made accepted papers’ reviews public for years, reviews and discussions of all *accepted* ICML papers will be made public after the conference.
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#3: The use of GenAI tools for reviewing is prohibited, for two key reasons. First, allowing AI generated reviews can damage the credibility of reviewing. Second, submissions and reviews may contain privileged information that should not be inputted into such tools.
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