r/MachineLearning
500 articles archived · Visit source ↗ · RSS
-
r/MachineLearning community 22d ago
Should I Commit and Publish the Results? [R]
Hello Reddit I've been working on QSPR (Quantitative Structure-Property Relationship) analysis for chemical compounds mentioned in the Jean-Claude Bradley Open Melting Point Dataset . Basically the idea is to see how accurate a model can predict melting points of compounds using…
32 -
Introducing Papers Without Code [P]
Hi, Niels here from the open-source team at Hugging Face. I've recently relaunched paperswithcode.co as a source for finding the state of the art (SOTA) across various AI domains, from 3D generation to AI agents. This is done by automatically parsing research papers published on…
36 -
I Built Paper Deck: A Better Way to Discover AI/ML Papers [P]
I do AI research and keep juggling tabs: new ones on arXiv, trending ones on Hugging Face, famous ones somewhere else again. https://preview.redd.it/cg32bshjqd6h1.png?width=1919&format=png&auto=webp&s=00055bb8af699061be0bdcff59f2cb8fa9ab38b6 So I built one site that brings them…
11 -
RFE‑Core2 — Current Understanding (June 9th 2026) [R]
“Why the system feels rigid, why downstream fixes didn’t move the needle, and what actually matters.” This is the clearest picture after the full probe arc (multilayer-lock → gate decomposition → attractor migration → reconstruction ablation → generator diversity audit →…
21 -
iOS 27 Siri is using WaveRNN and FastSpeech2 [D]
Found from iOS Simulator's files. Both of them are in espresso format There's also another compiled CoreML for concert ranking and based on the content inside of it looks like to be a simple logistic regression. See…
38 -
AI Epistemic Risks: Emerging Mechanisms & Evidence [R]
How will AI affect our ability to think and judge for ourselves? Our new paper co-authored by 30 experts explores epistemic risks —the threats AI poses to our collective capacity to form beliefs accurately, reason well, and maintain a healthy information environment. We look at…
20 -
What will be the next breakthrough in ASR? [D]
Hey All, I am currently working on ASR models, and I have gathered some recent literature. From my literature search, it seems like the ASR models are getting more and more powerful due to two main things. Because pseudo-labelled data is growing, supervised models are rising…
35 -
Understanding Pytorch better and Moving forward from papers [D]
Im moving to my final year of engineering, im panicking scared everything but im confident in myself. I can read papers, understand the code go through the architectures and see them at scale (in my head), while i struggle to interpret all the dimensions and helper functions…
27 -
How to start open source contribution [D]
hi everyone, I created a blog around how I started open source contribution, documented all minute details. Please give it a read and give review as this is my journey to do blogging for the first time. It is free! https://substack.com/home/post/p-200202050   submitted by…
25 -
I'd like to share an updated methodology for building agents.[P]
Hi guys, been exploring here for a while, wanted to share something we've been working on. It's called Spice, an open-source decision layer above agents. We have tons of great execution agents now — Claude Code, Codex, hermes, etc. They're good at doing stuff. But they're…
20 -
STOP racist posts about Chinese researchers [D]
Yes, I'm calling it out. It IS racism. As an active member of r/MachineLearning and a researcher who is ethnic Chinese, I am DISGUSTED by unfounded accusations against the group of researchers who constitute over half of the field. Such posts pop up every other week, grounded in…
38 -
Should ArXiv backtrack endorsement? [D]
ArXiv has an endorsement system for a reason. I would only offer endorsement to whom I have direct academic collaboration or mentorship with, since I'm putting my own academic reputation on the stake. This is also the standard of almost any serious academic researcher I am aware…
8 -
How to find research opportunities in area of interest? [D]
Im an undergraduate studying CS at a state school in the US. I’m interested in researching a specific style of self supervised learning (JEPA) and want to eventually go to grad school to study further. I have experience working in a lab similar to this topic, and I’ve become…
37 -
ICML rejected paper visibility [D]
If ICML conference paper is rejected and no one opts-in or opts-out to keep the reviews visible, will the reviews be visible to everyone? There was clear instruction that only papers with at-least 1 opt-in AND zero opt-out options will be visible. None of the authors selected…
7 -
Software and ops skills for data scientists[D]
With more software engineers entering into data science and AI, I feel it's equally important for a person with data and AI background to dive into software development to survive, thrive in industry. I Know it's a very broad question, so suggestions with broad subjects, topics…
9 -
M5 air 24gb or M5 pro 16gb for swe + ml ? [D]
Hi folks, Deciding between these two Mac options has been a challenge for me, so pls help. I know mac is not even necessary for this but just help me to decide between these two options. For the reference, Im a swe student and looking forward to go deep into ml and data science…
11 -
For those using Google Colab, what features did you wish it had? [D]
Hi everyone, I'm an undergraduate student and ML researcher at UC Berkeley. My colleagues and I are working on a project that hopes to fix some of the problems users face with Colab. What are the features you wish it had as an ML professional, researcher, or enthusiast? What're…
32 -
Research collection of Arxiv whitepapers [R]
I read and collected Arxiv whitepapers starting after the launch of ChatGPT. I copied and pasted excerpts into Word to track them. Then migrated to Obsidian. That vault of some 1700 papers is now online. I figured it was time to see if others would find the collection useful. My…
38 -
Sources for ML news? [D]
I need a break from social media and all the bots.. Aside from Arxiv are there any sources that do a good job of aggregating the good stuff and filtering out all the junk?   submitted by   /u/Tiny_Arugula_5648 [link]   [comments]
17 -
Does it make sense to use alternative quantizations of QAT models? [D]
From TF's website: Quantization aware training emulates inference-time quantization, creating a model that downstream tools will use to produce actually quantized models. So is it designed to work with a very specific quantization method (for Gemma-4, presumably, Google's own)?…
17 -
Using FC26 to simulate the world cup ? [D]
maybe this should be asked in the Fc26 game subreddit but not sure. Anyway I just saw a video of someone predicting the winner of the world cup using the simulate match feature in the game but he only did it once. Would running this feature 100-1000 times give a significant…
23 -
What laptop do suggest I buy?[D]
Guys, for those experienced in the space. im actually confused at this point. I work around ML, Data science, analytics, engineering, research and general programmatic. What laptop or workstation would you advise me on? I need speed, high performance, durability and cost…
8 -
Building a Custom Drones MuJoCo Environment [P]
Hi all, Lately I have been working on creating a package for Multi Agent RL based drone environments with different objectives, all bundled into a single GitHub repository: tau-intelligence/MuJoCo-drones-gym. I am currently trying to organize things for RL community people, with…
31 -
-
ICML non-archival workshop - worth attending? [D]
I have a paper accepted at a non-archival ICML workshop this year, and I am trying to decide whether it is worth registering and attending. By coincidence, I will already be in Seoul around that time, but I would have to pay the workshop registration fee (~$400) out of my own…
34 -
How do you identify researchers who are good? [D]
About 10 years ago, I got into the basics of ML (like regression, KNN's, LVQ's) and read a few papers before taking a break a few years back. It feels like now, there's a lot of researchers in AI. How do you identify the ones who are actually solid vs those who (forgive my…
19 -
-
Are We Underestimating Small Edge AI Models?[D]
A lot of recent discussion around Edge AI focuses on running increasingly larger local LLMs. Meanwhile modern smartphones already have enough compute for many practical computer vision tasks that don't require massive models at all. I recently built and released an Android…
7 -
-
[R] Measuring the Symmetry--Data Exchange Rate
The prediction that equivariance reduces sample complexity by a factor of |G| appears in roughly every paper on geometric deep learning and is measured as an actual scaling law in roughly none of them. This paper does the measurement. The methodology is the interesting part.…
9 -
How do ML researchers actually use AI tools to improve their writing? [D]
As an ML researcher, how do you use AI tools in your daily work? Do you mostly use them to clean up grammar and wording, or also to rewrite, structure, or draft technical text?   submitted by   /u/Hope999991 [link]   [comments]
5