ResNet, every mention
8 scenes · ← back to ResNet
tap a year for its mentions
every year anyone Varun Mohan 1Peter Robicheaux 1Mark Chen 1Jeremy Howard 1Jason Liu 1Eugene Cheah 1Ethan He 1
Verbatim, from the transcripts: the passages where ResNet comes up
Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ▶ 8:26 Varun Mohan If it's a vision, they should be fine tuning resonant or using something like clip, like the less work they can do the better.
Best of 2024 in Vision [LS Live @ NeurIPS]
- ▶ 41:33 Peter Robicheaux Uh, yeah, one thing I want to add is just, like, or just to summarize, basically, is that, like, until, you know, we haven't really seen a combination of transformer-based, uh, object detectors and, uh, fancy losses, and Polygema suffers…
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Breaking down the OG GPT Paper by Alec Radford
- ▶ 18:39 unnamed speaker So, for example, you can use ResNet that was trained to classify ImageNet. 3 times in the scene
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 1:19:13 Jeremy Howard Like, I want to see, there was a great, um, paper about, uh, Resnets, uh, a few years ago, um, that showed how, that was able to, like, plot a kind of projected three-dimensional loss surface for a ConvNet, um, with and without, um, skip…
RWKV: Reinventing RNNs for the Transformer Era
- ▶ 1:08:56 Eugene Cheah Is that ever since that initial paper came out, there was ResNet, there's, um, I think there's two more, there's a few more additional papers coming out, one from Microsoft, one, uh, one from other organizations that are literally…