r/MachineLearning
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r/MachineLearning community 20d ago
NeurIPS Decisions in Some Hourse to a Day [D]
Just some hours or a day for NeurIPS decisions. How you guys are feeling ? Anybody got any decisions ? Would be great to know ballpark submission # and post-rebuttal ratings, if you get any decision.   submitted by   /u/Invariant_n_Cauchy [link]   [comments]
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r/MachineLearning community 20d ago
NeurIPS decisions tomorrow. Try not to break your F5 key. [R]
Hey everyone, Since the final decision drop is tomorrow, I figured I’d throw a quick sanity check out into the sub 😄. Honestly, just congrats on getting your stuff across the finish line 🎉 . Between the absolute nightmare of the submission deadline, fixing broken code at 3 AM,…
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r/MachineLearning community 20d ago
EACL Reviewers no response [D]
The rebuttal is still ongoing so this could also change, but my reviewers have not responded back to my responses yet. I know they have the right not to reply. One of the reviewers gave a 2 with a 5 confidence and the whole review is actually one of the many limitation I…
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r/MachineLearning community 21d ago
I’m not sure which education path to choose [D]
I’m 28 and trying to make a pretty major career decision. I currently have the option of finishing an MD. I have about 2 years left, but I genuinely dislike medicine and don’t want to practice clinically. After the MD, I have an opportunity to do a PhD in a strong biomedical…
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r/MachineLearning community 21d ago
NeurIPS Author Notifications Tomorrow [D]
With NeurIPS author notifications coming up, I’m realizing that I’m way more stressed than I expected to be. I know the usual advice: reviews are noisy, one paper doesn’t define your research, there are always other venues, I completely understand all of that. But apparently my…
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r/MachineLearning community 21d ago
How do you split AI models across ideation, math, and coding?[D]
Hi, I'm a freshly graduated (undergrad) guy currently working on 3–4 projects in parallel: - An AI research project: working on a research problem statement, aiming towards a paper publication - New corporate work at a product company - My personal hobby projects I wanted…
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r/MachineLearning community 21d ago
ICLR main paper + Supplementary in 1 submission [R]
Can you attach the supplementary material along with my paper when uploading it? Or would the paper be desk-rejected if I do so? I don’t want to split it into two separate files: the main paper and the supplementary material.   submitted by   /u/Alternative_Art2984…
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r/MachineLearning community 22d ago
Play social multiplayer games against frontier AI models and see if you can beat them! [D]
play here Play games like poker, risk, diplomacy with friends or alone against AI models, guess what, you can talk to them and change strategies and outcomes. itss fun!   submitted by   /u/Expert_Cobbler8984 [link]   [comments]
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r/MachineLearning community 22d ago
LinearSolveBench: new benchmark for linear solvers [P]
LinearSolverBench measures the ability of a model or harness to write fast, accurate, and general numerical solvers for large sparse linear systems in C. The goal is to encourage algorithmic advances in numerical methods for solving linear systems of equations.…
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r/MachineLearning community 22d ago
QontoFAQ: A better Information Retrieval Benchmark [R]
Retrieval benchmarks sometimes feel benchmaxxed by models, so we wanted to find a way to tie it as close as possible to my objective: finding the article that answers a product question right . We worked on a new metric which seems more proportional to document relevance, and…
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r/MachineLearning community 22d ago
Understanding and Enhancing Kimi Delta Attention [R]
TLDR: We demonstrate and explain the difference in expressivity of Gated Deltanet (GDN) and Kimi Delta Attention (KDA). We show how the full diagonal gate in KDA can act as a reflection allowing 2D rotations to be carried out in a single step, but only if the range of the gates…
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r/MachineLearning community 23d ago
Jev's calibration was measured. The LLMs won [D]
Source: Jev Benchmarks Its training method is literally called "Reinforcement Learning for Calibrated Decisions." Calibration gap vs human labels (lower = better): Yes/no: Jev 5.0, Gemini 3.8 Flash 2.0 Pick-one: Jev 9.8, DeepSeek V4.1 Flash 2.8 Rubric: Jev 19.7, GLM-5.3 12.9 It…
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r/MachineLearning community 23d ago
For NeurIPS: Is Paris or Syndey better for networking with U.S. tech companies? [D]
I am a graduate student looking to meet industry researchers at U.S. tech companies and labs. Does anyone if people from U.S. companies and labs will be going to Sydney or Paris mainly?   submitted by   /u/arc_in_tangent [link]   [comments]
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r/MachineLearning community 23d ago
Systems for Machine Learning[D]
I’m a computer engineering graduate and come from a traditional embedded systems background, with knowledge of microcontrollers, computer architecture and operating systems. Is knowledge of C and C++ programming, Linux networking, memory management , multithreading,…
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r/MachineLearning community 23d ago
These Were NOT Rogue AI Escapes. Just SLOPPY Firewall Failures. [N]
The headlines right now are full of stories about AI models "escaping their sandboxes" and literally killing all humans, lol. I've even heard several commentators and writers say that AI escaped an "Air gap". But that is SO WRONG. It's actually TOTALLY WRONG. *To be clear, not a…
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r/MachineLearning community 23d ago
Concerns about the ICLR review policy [D]
The ICLR review policy says if your name appears on 3 or more papers, you will need to serve as a reviewer, and it did not say anything about qualifications. I only have 2 so this doesn't apply to me, but I am not sure if I understand it correctly and thus have some concerns. So…
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r/MachineLearning community 24d ago
How is your experience with ICLR LLM Feedback? [D]
Besides the ridiculous number of submissions, interesting to hear your experience with it. For me it had 1-2 valid points, and 3 pages of nitpicking. I have the time, so I can address both types of issues, but wonder if that’s your experience as well. Overall, I think it is an…
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r/MachineLearning community 24d ago
Zero-shot Neural Style Transfer (NST) App [P]
Hi everyone! I spent the last 6 days (today included) developing and deploying a zero-shot nueral style transfer (NST) application using AdaIN (Huang and Belongie, 2017). Feeling kinda proud of it :) if y'all would like to give it a spin you can find it at stylyze.app . Just a…
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r/MachineLearning community 24d ago
Typesafe's JEV model work as an LLM [P]
I built a conversational AI that doesn't generate a single token — it selects from 400 pre-written responses using TypeSafe's Jev, a non-generative model that returns probabilistic judgments instead of text. The technical approach: Traditional LLMs generate responses token by…
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r/MachineLearning community 24d ago
Autograd project [P]
Hello, I'm a 3rd year Highschooler interested in machine learning and for the last few weeks have been working on a small project meant to learn the basics of machine learning. I have implemented a simple tensor library and autograd in c++. It's very simple but i want some…
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r/MachineLearning community 24d ago
Inside sanoTTS — a 294,279-parameter TTS system [P]
How sanoTTS works? I have vibe coded this site to show what's inside sanoTTS? Every tensor shown on the page is a real intermediate value captured from the shipped int8 model while it synthesized an actual sentence; no mock-ups, no stand-in data. Just check this out:…
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r/MachineLearning community 25d ago
I wanted to watch a neural network learn [P]
I wanted to really see how a neural network learns different functions, so built an interactive demo. You can change the architecture of the network and the function it will try to approximate. A fully-connected network with ReLU activations will create a piecewise linear…
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r/MachineLearning community 25d ago
World Models From Scratch 2: Model Training and Dreaming [P]
I am adding self-contained and accessible videos on how World Models work as well as how you can create one! This is part 2 which gets you to the exciting place where you can play a gameboy goy entirely in a world model!   submitted by   /u/Available_Pressure47 [link]…
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r/MachineLearning community 25d ago
Experimenting with hypersurface-constrained dynamic weight updating [P]
Hey everyone! I want to share the results of a small language model architecture experiment I’ve been running as a side project. The ultimate goal is to test an approach to reduce the number of the model's training parameters, since the main bottleneck in training is VRAM. The…
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r/MachineLearning community 25d ago
DiffusionGemma: How It Generates Text in Parallel (From Scratch in PyTorch) [P]
  submitted by   /u/Winter_Mistake_3185 [link]   [comments]
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r/MachineLearning community 25d ago
JMLR submission experience [D]
Hi just wondering has anyone submitted anything to JMLR before? Especially in the last 2 years? What is the experience like? Background: I am a Comp Sci PhD student, but my secondary supervisor (the one who is actually looking after me) is from the Stats faculty. He has 0 Comp…
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r/MachineLearning community 26d ago
How is RLCD (jev) RL? [D]
Just saw the YouTube presentation and I was left wondering this question. If jev only outputs Choice, Score, or Noul … well those are all perfectly differentiable. (Cross entropy or mse) I don’t know if I’m missing something or if adding RL is just for marketing. Like what would…
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r/MachineLearning community 26d ago
How competitive are journals compared to top ai conferences? [D]
Hi everyone, The NeurIPS results aren’t out yet, but I’m expecting my paper to be rejected, so I’m considering submitting it to a journal instead. My scores were 2/3/3 (3/4/4). I feel like I would probably get a similar outcome if I submitted the paper to ICLR or CVPR, so at…
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r/MachineLearning community 26d ago
augmenting large datasets to have more edge case data for training [D]
I have this idea I'd like feedback on. most camera footage for training, is sunny daytime, because that's what cameras record most of the time. The edge cases models actually struggles with, like night, fog, rain or glare, are rare in the data - the idea is to augment it to have…
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