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Excited to present our poster on “Promises and Pitfalls of Threshold-based Auto-Labeling” at the DMLR workshop at ICML Conference. This is a work with my colleague Heguang Lin and my advisors Fred Sala (Fred Sala) and Ramya Vinayak. 📅 Sat. 3:30 - 4:30 pm, in Ballroom C. 1/n

I just pushed my color-coded latex table script to github: github.com/jonbarron/tabi… Every table I've made since grad school has been procedurally generated. I *highly* recommend doing this --- if you copy-paste and manually-bold numbers, you will eventually make a costly mistake.

Excited to present 3 papers at #NeurIPS2023 ! Come and let's chat ☕️ 1. Wed 5p. Promises and Pitfalls of Threshold-based Auto-Labeling (Spotlight) 2. Tue 5p. Train 'n Trade: Foundations of Parameter Markets 3. Sat 11a. Human in the Loop OOD Detection with FPR Control ⬇️

Excited to be at #AISTATS2024 👋 . Join us for the poster presentation on "Taming False Positives in Out-of-Distribution Detection with Human Feedback" with Heguang Lin Ramya Vinayak 🗓️ Date: Thu. 2nd May 🕔 Time: 5-7 pm CEST Paper URL: bit.ly/4a0Nw26 1/n

Did you miss out on #SIGGRAPH2024 Keynote presenter Manu Prakash's session on community based science? Don't worry! His full presentation is now available for all on our YouTube page. Check it out today! youtu.be/4fYorNWoMLM

Capture a scene with 2DGS that can be viewed from extremely close and far away viewpoints, without aliasing while maintaining detailed texture. Check our new work timsong412.github.io/HDGS-ProjPage/ lead by TimSong Heguang Lin and advised by me, Lingjie Liu and Kostas Daniilidis