Building a collaborative Platform for Patients and Doctors. 🌐🩻
#GraphML, #GeometricDL, #Gen AI #ML ,#RL, #LLM, #AIForHealthcare
https://www.linkedin.com/in/manish-genai/
A detailed overview of 32 popular predictive performance metrics for prediction models
arxiv.org/abs/2412.10288
A detailed overview of 32 popular predictive performance metrics for prediction models
arxiv.org/abs/2412.10288
(1) Science of DL (panel, 3:10-4:10, scienceofdlworkshop.github.io/schedule/)
(2) "Time Series in the Age of Large Models" (talk, 4:39-5:14, neurips-time-series-workshop.github.io).
(1) Science of DL (panel, 3:10-4:10, scienceofdlworkshop.github.io/schedule/)
(2) "Time Series in the Age of Large Models" (talk, 4:39-5:14, neurips-time-series-workshop.github.io).
📍 East Exhibit Hall, Poster #3010
📄 arxiv.org/abs/2411.16278
💻 github.com/hamed1375/Sp...
To motivate you further, we have some insights gained from the attention score analysis of this work, which I'll share in this thread:
[1/13]
#NeurIPS2024
📍 East Exhibit Hall, Poster #3010
📄 arxiv.org/abs/2411.16278
💻 github.com/hamed1375/Sp...
To motivate you further, we have some insights gained from the attention score analysis of this work, which I'll share in this thread:
Now available in anychat try it out:
🤗 huggingface.co/spaces/akha...
Now available in anychat try it out:
🤗 huggingface.co/spaces/akha...
If you want to be included or know other people to include, drop them in the replies
go.bsky.app/Gmkg4yX
If you want to be included or know other people to include, drop them in the replies
go.bsky.app/Gmkg4yX
DM/Reply if you want to be added!
go.bsky.app/PJKJ8vK
DM/Reply if you want to be added!
go.bsky.app/PJKJ8vK
arxiv.org/abs/2410.06468 does spatial cognition
arxiv.org/abs/2307.06281 MMBench
arxiv.org/abs/2411.13543 BALROG
arxiv.org/abs/2410.07765 GameTraversalBenchmark
3dsrbench.github.io 3DSRBenchmark
open-eqa.github.io Open-EQA
arxiv.org/abs/2410.06468 does spatial cognition
arxiv.org/abs/2307.06281 MMBench
arxiv.org/abs/2411.13543 BALROG
arxiv.org/abs/2410.07765 GameTraversalBenchmark
3dsrbench.github.io 3DSRBenchmark
open-eqa.github.io Open-EQA
arxiv.org/abs/2411.04118
arxiv.org/abs/2411.04118
nature.com/articles/s42...
nature.com/articles/s42...
I've noticed not all accounts seem to be eligible to be added, anyone know what's up with that? 🤔
I've noticed not all accounts seem to be eligible to be added, anyone know what's up with that? 🤔
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
neurips.cc/virtual/2024/tutorial/99528
Are you an AI researcher interested in comparing models/methods? Then your conclusions rely on well-designed experiments. We'll cover best practices + case studies. 👇
neurips.cc/virtual/2024/tutorial/99528
Are you an AI researcher interested in comparing models/methods? Then your conclusions rely on well-designed experiments. We'll cover best practices + case studies. 👇
We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking 👉 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!
We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking 👉 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!
openreview.net/forum?id=ByJ...
It shows that, under fair experimental evaluation, lstms do just as well as a bunch of “improvements”
openreview.net/forum?id=ByJ...
It shows that, under fair experimental evaluation, lstms do just as well as a bunch of “improvements”
graphcore-research.github.io/papers-of-th...
graphcore-research.github.io/papers-of-th...
www.youtube.com/watch?v=n1BV...
www.youtube.com/watch?v=n1BV...
theimagingwire.com/2024/12/04/a...
theimagingwire.com/2024/12/04/a...
The real debates are of course more nuanced, and interesting...
Small 🧵
The real debates are of course more nuanced, and interesting...
Small 🧵
As part of a massive cross-institutional collaboration:
🗽Find MMLU is heavily overfit to western culture
🔍 Professional annotation of cultural sensitivity data
🌍 Release improved Global-MMLU 42 languages
📜 Paper: arxiv.org/pdf/2412.03304
📂 Data: hf.co/datasets/Coh...
Expanding reinforcement learning with verifiable rewards to more domains and with better answer extraction and to more domains in our near roadmap.
https://buff.ly/3V4JEIJ
Expanding reinforcement learning with verifiable rewards to more domains and with better answer extraction and to more domains in our near roadmap.
https://buff.ly/3V4JEIJ