alex @AlexCoding2008

Joined February 2018

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Canyu Chen @CanyuChen3

3 months ago

Excited to visit @UCBerkeley this summer, hosted by Prof. Dawn Song. Happy to catch up if you are around!

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🔥Today is submission deadline (June 6th AoE) of our 𝐀𝐂𝐋 𝟐𝟎𝟐𝟓 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐓𝐨𝐰𝐚𝐫𝐝𝐬 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞𝐚𝐛𝐥𝐞 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬!🔥 🔗workshop website: knowledgeable-lm.github.io 🔗 submission portal: openreview.net/group?id=aclwe… 🏆 The Best Paper…

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Canyu Chen @CanyuChen3

4 months ago

🚀 Although #ICLR2025 is wrapping up, we’re just getting started! Join us for the 🔥𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐋𝐋𝐌𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩🔥 — all day Monday, April 28! 🎤 Keynotes & panels from distinguished researchers at Meta, OpenAI, DeepMind, Oxford,…

Zhiyuan @ZhiyuanCS

4 months ago

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Canyu Chen @CanyuChen3

5 months ago

🔥New #ICLR2025 paper: "𝐂𝐚𝐧 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐄𝐝𝐢𝐭𝐢𝐧𝐠 𝐑𝐞𝐚𝐥𝐥𝐲 𝐂𝐨𝐫𝐫𝐞𝐜𝐭 𝐇𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬?" Knowledge editing aims to fix false facts in LLMs—but does it actually work? 🤔 We provide new insights!✨ 🔗paper & code: llm-editing.github.io…

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Canyu Chen @CanyuChen3

5 months ago

Huge congrats to Junfeng! @FangJunfen30527 Excited to see the direction of Knowledge Editing being recognized! Also check out our #ICLR2025 paper "𝐂𝐚𝐧 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐄𝐝𝐢𝐭𝐢𝐧𝐠 𝐑𝐞𝐚𝐥𝐥𝐲 𝐂𝐨𝐫𝐫𝐞𝐜𝐭 𝐇𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬?" (llm-editing.github.io) if you…

ICLR 2026 @iclr_conf

5 months ago

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Canyu Chen @CanyuChen3

11 months ago

Authorship Attribution is critical for online safety. What are the challenges and opportunities for Authorship Attribution in the era of LLMs? Can we leverage LLMs to identify authorship? Check out our two recent works accepted to #SIGKDDExplorations and #EMNLP2024 findings.…

Baixiang Huang @BaixHuang

11 months ago

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Yisong Yue @yisongyue

5 years ago

When I was a PhD student, a professor told me: "There are only three papers worth writing on a given topic: the first paper, the best paper, and the last paper." It's obv a bit tongue-in-cheek, but I've often used the underlying heuristic to aid in choosing research directions.

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benty-fields.com @BentyFields

4 years ago

If you are interested to help develop benty-fields.com, check out our new project here benty-fields.com/projects... and spread the word! best your benty-fields team

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Stat.ML Papers @StatMLPapers

4 years ago

Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs. (arXiv:2106.07767v1 [cs.LG]) ift.tt/3pW3eGi

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Jiong Zhu (@[email protected]) @jiong971

4 years ago

Thanks @tangjiliang for sharing this interesting and thought-provoking work. In light of these new findings, we revisit the problem of heterophily for GNNs and discuss the reasons behind the seemingly different takeaways from different works. Check it out: jiongzhu.net/revisiting-het…

Jiliang Tang @tangjiliang

4 years ago

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Jiliang Tang @tangjiliang

4 years ago

GNNs are widely believed to work well due to the homophily assumption and recent works design new architectures to overcome such heterophily-related limitations. Is Homophily a Necessity for Graph Neural Networks? the answer is in our new preprint: arxiv.org/abs/2106.06134

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Pinterest Engineering @PinterestEng

4 years ago

Join us Nov 16 at 4pm PT for a Pinterest Labs Tech Talk! Our guest speaker, Stefanie Jegelka, will be giving a talk on Learning and Generalization in Graph Neural Networks. RSVP here bit.ly/3mZGaXl

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Arash Vahdat @ArashVahdat

5 years ago

🔥 VAEBM = VAE + EBM 🔥 VAEBM is a new generative model defined by a symbiotic composition of VAE and EBM. VAEBM improves generative quality of VAEs & explicit EBMs by a large margin & reduces the gap with GANs. arxiv.org/abs/2010.00654 w/ Zhisheng Xiao, Karsten Kreis, @jankautz

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Kashif Rasul @krasul

4 years ago

@ArashVahdat You can also run this script on this years submissions: github.com/evanzd/ICLR202…

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Kashif Rasul @krasul

4 years ago

@ArashVahdat Ok so I managed to scrape it, you can see my fork: github.com/kashif/ICLR202…

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Trustworthy ML Initiative (TrustML) @trustworthy_ml

4 years ago

📢 1/ We are delighted to have Nicholas Carlini for our next TrustML seminar this Thursday, Nov 11 at 12pm ET 🥳🎉 Register here: us02web.zoom.us/webinar/regist… Check this thread for the speaker and talk details! 👇

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Gautam Kamath @thegautamkamath

5 years ago

My course on differential privacy is public! Check out the course page for: lecture videos 🎥, lecture notes 📝, and suggested readings 📖! gautamkamath.com/CS860-fa2020.h… Be sure to subscribe on Youtube to catch the latest lectures! youtube.com/playlist?list=… #privacy

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Gautam Kamath @thegautamkamath

4 years ago

Think privacy in ML ➡️ bad accuracy? 😭 Think again! We show that large language models (e.g., RoBERTa and GPT-2) can be privately fine-tuned with minimal loss in utility! 🥳 A super fun @UWCheritonCS @MSFTResearch collab! 📝Paper: arxiv.org/abs/2110.06500 🧵Thread ⬇️ 1/8

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Mike Tamir, PhD @MikeTamir

4 years ago

SHAP: Explain Any Machine Learning Model in Python bit.ly/3pQLOwH #DataScience #MachineLearning #AI #DeepLearning

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Emtiyaz Khan @EmtiyazKhan

4 years ago

Tomorrow, I will give a tutorial on "ML from a Bayesian Perspective" at ACML 2021. acml-conf.org/2021/school/sc… I also wrote a summary for the slides, explaining why a Bayesian perspective is essential for machine learners emtiyaz.github.io/papers/MLfromB… Slides: emtiyaz.github.io/papers/Nov9_20…