r/MachineLearning
500 articles archived · Visit source ↗ · RSS
-
r/MachineLearning community 1mo ago
Is KV Cache in a high dimensional vector space? [D]
I've been doing some research on this question: At inference time a large part of a model's working memory lives in the KV cache, plus whatever external memory the harness bolts on. I've been poking at the storage-and-retrieval side of this, treating that cache as an index, and…
34 -
r/MachineLearning community 1mo ago
Resizing images from Flutter Camera Stream for TFLite modle [P]
Hi everyone. So I built a CNN modle using MobileNetv3 then converted it into TFLite. It performed well during training but once I integrated it into my application, it is making large errors. From flutter, the camera stream sends frames and those are processed before the model…
30 -
r/MachineLearning community 1mo ago
About the impact of grouping classes in multiclass classification [D]
A premise: I hope this question is "worth" of this subreddit, I did a decent amount of research before posting, I thought it was potentially interesting enough for it, but possibly not basic enough for r/learnmachinelearning . Is there any agreement/indication about how harmful…
10 -
r/MachineLearning community 1mo ago
We got tired of trying 10 ML models every time we had a new dataset [P]
We've been building Arcliq ( Join Here:- https://arcliq.app ) for a while and finally feel comfortable sharing it. The annoying part of working with a new tabular dataset isn't usually writing the model code. It's everything around it: cleaning the data, figuring out…
29 -
r/MachineLearning community 1mo ago
Looking for 1 teammate — RealPDE Competition (NeurIPS 2026)[D]
Registering for RealPDE (Sim2Real / LTTTA tracks — real PIV + CFD fluid dynamics data). Team cap is 3. If you've got a strong ML background and wanna participate, just DM me. Deadline's Aug 20, so move fast. 🔗 https://realpdecompetition.github.io   submitted by  …
26 -
r/MachineLearning community 1mo ago
how can I learn Machine Learning for Astronomical use? [D]
Im new to Astronomy and Juypter Notebooks and Ai machine learning for sure I have little skill in python but quick learner especially visual learning. Are there any free tutorials I can use and free books to learn machine learning for astronomy Example: use machine learning to…
13 -
r/MachineLearning community 1mo ago
Embedded spaces inspired on gravity [P][D]
https://preview.redd.it/x164c3ol59kh1.png?width=895&format=png&auto=webp&s=96fe040f824799f2175e526a0512e81367e04b0f tl;dr: I have a project that I think is really cool and as a non-researcher, I don't know what to do next and need advice. Project Overview [Me, my context] For…
6 -
r/MachineLearning community 1mo ago
ICONIP 2026 — what happens if the sole author cannot attend in person? [D]
Hi everyone 👋 My paper was recently accepted to ICONIP 2026, but I’m the sole author and most likely won’t be able to attend the conference in person due to work commitments. I’m trying to understand what options might be available before I contact the organizers. Has anyone…
14 -
r/MachineLearning community 1mo ago
Trained an diffusion model that runs on 264KB of RAM [P]
I recently bought a Shrike lite which has got 264KB of SRAM. I decided to train an image generation model that generates 32*32 pixel images. The microcontroller also has an FPGA onboard which I used to create two parallel INT8 MAC engines with 16 bit accumulation to speed up…
36 -
r/MachineLearning community 1mo ago
ICLR numbered citations possible? [R]
The instructions say Author Year format. But I was wondering if do numbered instead (no space lol), will it be straight desk rejection? Has anyone submitted with numbered format before? How did it go?   submitted by   /u/confirm-jannati [link]   [comments]
25 -
r/MachineLearning community 1mo ago
How to make any Sparse Attention / KV Compression look good? [D] [R]
Original Article - https://x.com/p_nawrot/status/2089315591010079034 I've spent the last few years working on efficient attention and KV Cache Compression. I've read many papers, dug deep into reference or official implementations of methods, and inspected appendices—and I think…
29 -
-
r/MachineLearning community 1mo ago
Input 4-5x Reduction with sentence and keyword based trie on chat. [P]
Currently struggling with an automatic budget selection, at 25% it’s very similar to benchmarks accuracy and seems even better on actual chat input however it many times retrieves too much. It would be nice to add an algorithm that actually can determine better retrieval other…
11 -
-
r/MachineLearning community 1mo ago
How can we solve long-range recall in linear attention? [D]
Recently, I started working on DNA sequence modeling and decided to explore linear attention , mainly because DNA sequences can easily reach 1M tokens , making standard softmax attention extremely expensive in terms of memory and computation. The model performed reasonably well…
5 -
-
r/MachineLearning community 2mo ago
Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]
Repo with dataset links: https://github.com/tesselwait/Starfield_Fauna Image classification dataset: 20,000 images from 50 fauna species in the video game Starfield. Images were extracted from video capture. About 2 minutes of footage was shot in all or most of the species…
12 -
r/MachineLearning community 2mo ago
NeurIPS 2026 Author Notifications Close to ICLR Deadline [D]
The date for NeurIPS 2026 author notifications is September 24th. First of all, is it normal for AC and reviewer discussion phases to be this long? This is particularly frustrating given that 5 out of the 6 reviewers in my two papers did not address the rebuttals. In any case, I…
6 -
r/MachineLearning community 2mo ago
Do you actually finish setting up a new project? [N]
I have a bad habit of getting a new project 90% of the way there and then losing interest. Dependencies work, GPU is detected, model downloads, everything finally runs. And then somehow the actual project gets abandoned. I'm starting to think getting things working is half the…
22 -
r/MachineLearning community 2mo ago
BDH-CQ: IN-CONTEXT LEARNING WITH RECURRENT LATENT REASONING [R]
We introduce BDH-CQ, a reasoning system that brings these capabilities together. Demonstrations of a previously unseen task update recurrent memory; the query is then solved through iterative computation in a high-dimensional latent workspace. Intermediate reasoning states are…
33 -
r/MachineLearning community 2mo ago
AC comment and our reply disappeared on OpenReview [D]
Hi everyone, we noticed that the AC's comment, along with our reply, has disappeared, and we are wondering if anyone else has experienced the same thing. The comment was made by the AC on the first day the reviews were released and summarized the reviewers' questions and…
4 -
r/MachineLearning community 2mo ago
How much does adding an honest limitations section hurt the paper? [D]
Hi, How much does adding an honest limitations section hurt the paper (apart from making it better)? Does it bias the reviewers? Will they want you to fix the things in the limitations section? If the reviewers let AI read the paper, will the limitations section bias AI? Would…
31 -
r/MachineLearning community 2mo ago
A linter for PyTorch 'torch-preflight' [P]
Been working on this for the last few months. I've been working on PyTorch for the past few years and I always felt, many a times my work went into dump, because of some mistakes I made in the code. torch-preflight reads your PyTorch code and catches the bugs costing you GPU…
15 -
r/MachineLearning community 2mo ago
Building text to ASCII diffusion model , need advice and guidance [P]
i wanna build a text diffusion model which interpret text and convert it into ascii images so like Text : build a cat Output : /\\\_/\\ ( o.o ) \> \^ < So , i have a decent background of ml algo ( completed cs229 , cs230 , Ml architecture and basic CNN and diffusion model ) ik…
37 -
r/MachineLearning community 2mo ago
Are supervised and unsupervised learning still relevant today? [D]
Hey everyone, I'm trying to get a better sense of where classic ML fits in the current landscape, dominated by LLMs and deep learning. Are supervised and unsupervised learning still considered important skills/topics to learn in 2026, or have they become mostly a "foundations"…
20 -
r/MachineLearning community 2mo ago
TMLR Relevance and Prestige [D]
I recently had a paper accepted to TMLR and was wondering how prestigious it is, in comparison to A* conferences (ie. NeurIPS, ICLR, ICML), but also vs journals like JMLR.   submitted by   /u/Awesome_Nerd10 [link]   [comments]
8 -