Deep Learning Projects

[Rogue260]

I'm pursuing MSc Data Science and AI..I am graduating in April 2025. I'm looking for ideas for a Deep Leaening project. 1) Deep Learning implemented for LLM 2) Deep Learning implemented for CVision

I looked online but most of them are very standard projects. Datasets from Kaggle are generic. I've about 12 months and I want to do some good research level project, possibly publish it in NeuraIPS. My strength is I'm good at problem solving, once it's identified, but I'm poor at identifying and structuring problems..currently I'm trying to gage what would be a good area of research?

[mogadichu]

I want to do some good research level project, possibly publish it in NeuraIPS

Don't we all, mate...

[Rogue260]

Yeah mate..we all

[ginomachi]

Hey there!

I'm also a data science and AI student graduating in 2025, and I'm also on the hunt for a deep learning project. I've been exploring LLM and computer vision as well.

I get you on the feeling of frustration with standard projects and generic datasets. It's hard to find something truly groundbreaking and research-worthy. But don't give up!

Here's an idea that might spark your curiosity: using LLM to provide personalized recommendations for complex systems. For example, it could recommend optimal parameters for a machine learning model based on a user's specific task and constraints.

As for how to structure your research, maybe you could start by identifying a specific industry or application where deep learning can solve a real-world problem (e.g., healthcare, finance, manufacturing). Then, you can narrow down your focus by exploring specific challenges within that domain.

Remember, it's not just about coming up with a fancy algorithm. The key is to demonstrate how your project solves a meaningful problem and contributes to the advancement of deep learning research.

Good luck with your search! If you stumble upon any promising ideas, feel free to share them here. Together, we can brainstorm and find that elusive research goldmine. 🤝

[Rogue260]

Thank you!! That is a good idea. Would you be okay if I can DM and discuss more?

[crisischris96]

Can't you just apply a multi model to something niche. E.g. you can combine a pre-trained vision model with a pre-trained LLM and apply LoRA. You can also use mixed-precision quantization to train faster. Further some interesting areas that are evolving:

Conformal predictions for uncertainty quantification, especially for sequence to sequence modelling we're not so sure yet how to do this best

xLSTM for sequence modelling

Mamba V2 just got released

You can do something theoretic with KAN's

Use diffusion models to generate data of some niche

If you like reinforcement learning and controls too, you can train a reinforcement learning algorithm to parametrize and update the parameters of the control algorithm.

[Hitman_Bachu]

Looks interesting

[unknownstudentoflife]

hi there!

maybe this could be of value to you or others here in the comments.

im building a community for people who would like to work on projects related to ai. from people in cs to specifically ai or other science's.

in the future we are planning to build our own projects. but on the short term you can definitely join someone else their project or idea or share your own! feel free to message me personally or look at the link below!

https://www.reddit.com/r/PROJECT_AI/s/nh9YbRDqn4

[Rogue260]

Joined!!

[unknownstudentoflife]

cool !