ICLR, every mention
10 scenes · ← back to ICLR
tap a year for its mentions
every year anyone Shawn Wang 2Swix (Shawn) 1Nicholas Carlini 1Max Welling 1Mark Huang 1Doug O'Laughlin 1
Verbatim, from the transcripts: the passages where ICLR comes up
🔬Max Welling: Materials Underlie Everything
- ▶ 33:45 Max Welling Well, it depends on the publisher now, but, uh, I, I hope in April, um, I'm gonna give a keynote at iClear, and it would be very nice if they have this book in my hand, but, you know, it's hard to control, uh, these kind of timelines.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 2:14 Doug O'Laughlin And I know iClear is, I don't know, man, there's so many conferences.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 5:14 Shawn Wang It's not neuro-specific, it's ICML, it's ICLR, it's NeurIPS.
Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
- ▶ 30:34 Nicholas Carlini So I want to write something and I will do that at some point when I have time, maybe after I'm done writing my current papers for iClear or something, where I want to talk about some thoughts I have for where language models are going in…
Answer.ai & AI Magic with Jeremy Howard
- ▶ 2:36 Swix (Shawn) Yeah, I saw that, um, in iClear in Vienna, there was a, there was an outstanding paper about starting transformers from data-driven piers.
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- ▶ 46:59 unnamed speaker I was kind of bearish on conformers because I looked at the state of existing conformer research in ICM, Eclair, and, and NeurIPS, and they were far, far, far behind Whisper, mostly because of scale, like the, the sheer amount of resources…
- ▶ 1:05:17 unnamed speaker So I interviewed Graham Newbig at iClear, and he since announced that they are pivoting OpenDevIn or broadening OpenDevIn into all hands AI.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 1:00:11 Shawn Wang We interviewed him at iClear.
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 1:44:51 unnamed speaker But more generally, efficiency, in my mind, ah, when I go to ICLEAR, I go to NeurIPS, I see efficiency paper, 90% of the chance, like, I'm just gonna ignore it.
How to train a Million Context LLM — with Mark Huang of Gradient.ai
- ▶ 1:03:23 Mark Huang Nothing against, uh, submitting research papers to, like, ICLR or ICML.