r/MachineLearning
500 articles archived · Visit source ↗ · RSS
-
r/MachineLearning community 1mo ago
Help in ML algos [D]
So see, I’ve learned ML algorithms theoretically, but practically I have little to no experience. So can you guys suggest some resources through which I can understand which algorithms work well on which kinds of datasets? How is everything done step by step?   submitted by…
25 -
Help with CNNs.[D]
So, I’ve learned CNNs theoretically, but now I want to see how they behave practically , specifically on images: where they work well, where they fail, and how to improve their performance, etc. So, please suggest some resources or projects through which I can explore this…
21 -
-
Do you agree with Judea that learning from data is not everything? [D]
Link: Judea Pearl, 2011 ACM Turing Award Recipient (2:18:05) Quote: There is a limitation to that which people not everybody understand. I already mentioned a limitation that you have a hierarchy here and going from correlation to causation and from causation from causation to…
33 -
Backlash against Arxiv's proposed 1 year ban is genuinely perplexing. [D]
Anyone else surprised at the enormous amount of backlash against Arxiv's proposed 1 year ban for authors and coauthors publishing papers with hallucinated reference and other obvious LLM/Gen AI artifacts? https://x.com/tdietterich/status/2055000956144935055…
28 -
KDD 2026 Cycle 2 Results [D]
Results for the research track have been released.   submitted by   /u/ATadDisappointed [link]   [comments]
5 -
Doubts Urgent Guys![R]
For an expensive simulator inside an MCMC DA setup like this, do you see amortised inference (SBI / neural posterior estimation) as more transformative than surrogating the forward model, since it attacks the per-pixel MCMC bottleneck directly? A neural operator framing (FNO /…
29 -
Struggling with Overfitting on Medical Imaging Task [D]
Hi everyone, I’m working on a 2-class classification problem (LCA vs. RCA coronary arteries) using 2D X-ray angiograms. I’m currently stuck in a cycle of extreme overfitting and could use some advice on my training strategy. The Setup: Dataset: Small (~900 training frames from…
35 -
-
PINN is predicting trivial solution for stiff ODE [D]
I am learning physics informed neural networks. Currently, I am solving a simple second ODE (damped harmonic oscillator). The equation is m*d2y/dt2 + mu*dy/dt + k*y = 0 (bcs: y(t=0) = 1, y'(t=0) = 0). I managed to draft a code. The code works for k values upto 50. However, when…
6 -
Looking for a real world dataset (or website where i can find it) [P]
Hi guys, I’m gonna do a data analysis project based on data privacy, bias and data interpretability. For this reason our professor asked for a real world dataset in order to analyze a real case. Additionally I would prefer the least anonymity possible for that dataset in order…
38 -
software trying to catch software is officially a dead en [D]
I feel like we've crossed a weird threshold in the generative AI space where the arms race against botnets is just over. and the bots won I was reading that interview recently where the Reddit CEO was floating the idea of using Face ID and Touch ID just to verify that commenters…
15 -
Does anyone know any ready-to-go Emotion Cause Extraction (ECE) model? [R]
Hi everyone, I am currently looking for a Emotion Cause Extraction (ECE) model that is ready to go which means that I can download the model and run it immediately on text.   submitted by   /u/Mountain_Turnip_6403 [link]   [comments]
26 -
How we catch silent NPU fallback on Snapdragon in CI [D]
Posting because I've now seen this exact bug at multiple teams shipping ML to Snapdragon, and the pattern is worth writing up. ONNX Runtime's QNN execution provider (the one that targets Qualcomm's Hexagon NPU on Snapdragon SoCs) will silently route unsupported ops to the CPU.…
31 -
Follow the Mean: Reference-Guided Flow Matching [R]
Follow the Mean: Reference-Guided Flow Matching: https://www.alphaxiv.org/abs/2605.10302 https://preview.redd.it/5pleq5b4861h1.png?width=1036&format=png&auto=webp&s=805940b079176b65c45bb10e5458ecce140b0044   submitted by   /u/Professional-Ant-117 [link]   [comments]
16 -
[N] LangChain Interrupt 2026 announcements [N]
LangChain just wrapped Day 1 of Interrupt 2026 and announced a few things worth knowing about: SmithDB — A purpose-built distributed database for agent observability. The problem they're solving: agent traces are getting too large and complex for general-purpose databases.…
22 -
Would a 2000-2021 ML paper even get accepted today? [D]
I keep hearing some version of this: “A paper that got accepted years ago wouldn’t stand a chance today.” Honestly, for a lot of ML subfields, this doesn’t sound crazy anymore. A paper that once looked solid can now look under-evaluated, under-ablated, weak on baselines, or just…
12 -
-
-
WebHarbor - We "dock" the real websites into local for web agents! [R]
Hello! Excited to share our latest community-driven research project: WebHarbor: Docking Real Websites for Evolving GUI Agent Environments ! TL;DR : 15 popular websites (Amazon, GitHub, BBC News, arXiv, Booking, Hugging Face, etc.) packaged as self-contained Flask + SQLite apps…
23 -
Your AI Use Is Breaking My Brain: Why 10 Minutes of Prompting Fries Us[D]
It’s 2:30 AM. My youngest just woke up crying for water, completely derailing my train of thought while I was trying to debug a weird edge case in a side project. I stared at my IDE, then at my local model running in the terminal, then back at the IDE. My brain felt like…
26 -
What kinds of models are people training with document data? [P]
We've helped some folks with synthetic data for a number of different projects and some of them for "document data". Like annotated PDFs, PNGs. Tax forms, health forms. Especially things with PII that are hard to get because of obvious privacy concerns. So, we came up with an…
30 -
Have the "on-hold" durations been getting longer for arXiv submissions? [D]
I have a paper that has been "on-hold" for about 2 weeks now. I understand that it might take a little longer now because of inundation of AI generated low-effort papers but my papers have gone from "on-hold" to "submitted" within a couple of days in the past. Wondering if…
13 -
EEML Summer School (Eastern European ML) - Anyone here got accepted? [D]
Has anyone got into EEML Summer School in Montenegro? I did and please feel free to DM to manage stay or other plans after the summer school. I see that it's tricky to get there and find a stay.   submitted by   /u/ade17_in [link]   [comments]
29 -
Built Support Vector Machine(SVM) from scratch in Rust [P]
Built my own SVM classifier from scratch in Rust. It uses SMO optimization, have linear and rbf kernel, uses grid search to tune the hyperparameters. I tested it on two datasets one using Linear dataset and other using RBF, these were the results: Dataset Kernel Accuracy Recall…
10 -
ML for UFC predictions: logistic regression vs random forest? [P]
Hello everyone, I am pretty new to anything ML related so bear with me. I’ve been working on a UFC fight prediction project in Python using pandas + scikit-learn. Right now I’m using logistic regression since the output is binary (fighter A wins or fighter B wins). I’m currently…
37 -
Elastic Attention Cores for Scalable Vision Transformers [R]
Wanted to share our latest paper on an alternative building block for Vision Transformers. Illustration of our model's accuracy and dense features Traditional ViTs utilize dense ( N 2 ) self-attention, which can become pretty costly at higher resolutions. In this work, we…
35 -
Learning, Fast and Slow: Towards LLMs That Adapt Continually [R]
Large language models (LLMs) are trained for downstream tasks by updating their parameters (e.g., via RL). However, updating parameters forces them to absorb task-specific information, which can result in catastrophic forgetting and loss of plasticity. In contrast, in-context…
11