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Articles by Chee Seng
Computer Science > Machine Learning
Machine unlearning (MU) is commonly judged by output forgetting, such as low forget-set accuracy or reduced logit-level membership inference. But if output-level success can coexist with retraining-inconsistent residuals in representation space, what kind of forgetting are current evaluations actually certifying?
VAGNet: Grounding 3D Affordance from Human-Object Interactions in Videos
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
InteractEdit: Zero-Shot Editing of Human-Object Interactions in Images
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[2502.12176] Ten Challenging Problems in Federated Foundation Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation
arXiv:2501.04144 (cs) View PDF HTML (experimental) Comments: Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR) Cite as: arXiv:2501.04144 [cs.CV] (or arXiv:2501.04144v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2501.04144 Submission history From: Kam Woh Ng [ view email] [v1] Tue, 7 Jan 2025 21:14:11 UTC (27,086 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected...
[2410.10922] A few-shot Label Unlearning in Vertical Federated Learning
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Gorgeous: Create Your Desired Character Facial Makeup from Any Ideas
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
IPR-NeRF: Ownership Verification meets Neural Radiance Field
arXiv:2401.09495 (cs) This paper has been withdrawn by WinKent Ong [Submitted on 17 Jan 2024 (v1), last revised 23 Jan 2024 (this version, v4)] No PDF available, click to view other formats Comments: Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2401.09495 [cs.CV] (or arXiv:2401.09495v4 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2401.09495 Submission history From: WinKent Ong [ view email] [v1] Wed, 17 Jan 2024 01:33:40 UTC (24,300 KB) [v2] Fri, 19 Jan...
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models
[Submitted on 6 Dec 2023 ( v1 ), last revised 24 Jan 2024 (this version, v2)] Title:Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models Download a PDF of the paper titled Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models, by Sze Jue Yang and 7 other authors Download PDF HTML (experimental) Abstract:Backdoor attacks, representing an emerging threat to the integrity of deep neural networks, have...
Adjacent spillover efficacy of Wolbachia for control of dengue: emulation of a cluster randomised target trial - BMC Medicine
We specified a cluster-randomised test-negative target trial [14] to evaluate the spillover efficacy of releasing wAlbB-infected Ae. aegypti male mosquitoes for dengue control via vector population suppression, from epidemiological week (EW) 1 2019 to EW26 2022 in Singapore.
Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction
Yeo, J.; Jin, H.; Rodrigo Mor, A.; Chau, Y.; Pattanadech, N.; Tushar, W.; Saha, TK.... (2023). Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction. IEEE Transactions on Power Delivery. 38(1):177-188.
[2302.07669] Unsupervised Hashing with Similarity Distribution Calibration
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Mencapai Matlamat Dengan Teknik “System Setting”
Dengan “goal setting” dan juga “system setting”, kita akan mempunyai peluang yang lebih cerah untuk mencapai azam 2021 Apakah beza antara “Goal Setting” dan “System Setting”? Kita berada pada minggu-minggu awal tahun baru yang mana masih ramai bercerita tentang azam mereka. Apabila berazam, ramai yang beranggapan bahawa kemahiran yang memainkan peranan paling penting ialah “goal setting” atau penetapan matlamat. Ini kerana azam sangat sinonim dengan matlamat – sesuatu yang mahu dicapai.
How A Durian Man Nailed Employee Branding
I hate durians. I can’t stand the smell, texture and even the look of it. So I don’t really pay attention to anything about durians. Except for anti-durian content like this, because it affirms my confirmation bias! But when someone shared this recruitment ad on my Facebook feed, I was immediately intrigued. Not because I was interested in durians (much less in opening durians for a living!) but because of the way it was written. This is seriously one of the best recruitment ads I’ve seen.
How ROR Saved A Company During Covid-19
On 29 April, Renyi Chin, the co-founder of myBurgerLab, posted an appeal on his personal Facebook account to save the tiny Malaysian chains business which had been badly affected by the Movement Control Order. The mechanism was simple: buy a discount voucher so that they could have some much-needed cashflow to tide them over the month of May.
Your Professional Identity
Gone were the days where there was a one size fit all approach when it comes to consulting individuals in their professional image. And that is because with the current landscape, industries and even job designations which did not exist before are the current norm of the now. So, when it comes to your professional image identity, I suppose only a small fraction of individuals see the importance of this and have implemented so.
Uterine psuedoaneurysm: a rare cause of secondary post-partum hemorrhage and its management
To view the full text, please login as a subscribed user or purchase a subscription. Click here to view the full text on ScienceDirect. Fig. 1 CT Angiogram images of the patient pre and post-embolization. Pictures 1-3 show the pseudoaneurysm arising from the left uterine artery prior to embolization whilst picture 4 shows the angiogram image after selective embolization using microcoils. We have recently experienced a case of postpartum haemorrhage caused by pseudoaneurysm of the left uterine artery.
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