media · en · weight 0.9

r/MachineLearning

www.reddit.com/r/MachineLearning/

Hey! I'm looking for ways to predict human preference for a project I'm building. (imagebench.ai) I've tryed HPSv3, https://github.com/MizzenAI/HPSv3 and made post about it here: https://imagebench.ai/blog/does-the-score-match-your-eye It looks ok, but have many limitation as you can see in my post. My question. Have you tried other human preference model and found one that would be better then H…

r/MachineLearning·reddit.com··0.6

Even after getting ARR reviews and a meta review, how is the acceptance decided at the *ACL venues, because I have seen meta review 3.5 getting to findings and 3 getting to main or even getting rejected. Then what is the purpose of the overall score and recommendation? What do the conferences see when deciding? Do they only care about the metareview and their comments, or the whole set of reviews…

r/MachineLearning·reddit.com··0.5

i made a multiple linear regression trainer that can be used with custom data in scratch nothing more to say, the impressive part is the scratch part https://scratch.mit.edu/projects/1352102064/ submitted by /u/mehmetflix_ [link] [comments]

r/MachineLearning·reddit.com··0.5

I am currently working across multiple research communities, and I've noticed that the ML community is struggling with a massive volume of submissions, which is affecting review quality (as we are seeing in the recent ARR cycles). I am wondering what the reasoning is for not limiting the number of submissions per author? This practice has been successfully used in other research areas for years, …

r/MachineLearning·reddit.com··0.4

I am studying the LoRA paper and have trouble understanding this figure. The function essentially measures how much of the subspace spanned by the top i vectors is contained in the subspace spanned by the top j vectors in the higher rank matrix. Therefore, j can not be lower than i. So when they say the 3rd and 4th figure zoom in on the lower-left triangle of the 2 left-most figures, how are ther…

r/MachineLearning·reddit.com··0.4

So, I am working on this startup project with pretty low budget and one of the features is sentiment analysis based on political news, x posts and Instagram hashtag trends in which will be in Indian languages. I've been suggested muRIL, an Indian language-based model fine-tuned on political data as the best long-term option. But our team does not have any ML engineer so we dont know how we should…

r/MachineLearning·reddit.com··0.4

I am doing some work with cell type classification, where I have 4.3 million cells and 512 features (condensed embeddings from the encoder of a transformer). The broader goal is to implement a contextual bandit for augmenting the training set of the dataset, as it is currently imbalanced, and rare cell type classification is poor when I tried a baseline logistic regression classifier. Dataset: Fe…

r/MachineLearning·reddit.com··0.3

What it is Talos-XII is a CLI simulator for the gacha system in Arknights: Endfield. Rather than sampling from a static probability table, it trains a small set of neural nets to model environment uncertainty and pull-decision policy, then uses them to answer questions a static table can’t easily express — e.g. “as a F2P player, what’s my probability of getting the rate-up unit on free currency a…

r/MachineLearning·reddit.com··0.3

Lately in the last two/three years, I have noticed ICML, Neurips becoming more prestigious than the actual journals. What is the actual reason of this culture? Is this due to the AI boom and rising demand and the fact that conferences have a higher and a faster acceptance rate as compared to journals and with the growing hype they need to deliver things faster? What do you all think? submitted by…

r/MachineLearning·reddit.com··0.3

Most safety alignment work treats "detect the attack" as a text classification problem — does the prompt contain language the model's safety guardrails should catch. That assumption breaks down for LLM agents with real tool access. Here's a concrete case: take a known, public security vulnerability (a CVE), work out the sequence of tool calls that would exploit it, then have an LLM rewrite that a…

r/MachineLearning·reddit.com··0.2

Single-stream diffusion transformer with a DeepSeek-V3-style sparse MoE (128 experts, top-8 routing, 1.4B active of 13B total). Six-reward RL post-training including a physical-plausibility reward, plus an action-to-video mode that predicts robot rollouts from action and hand-pose conditions. Weights, code, and a Diffusers/SGLang stack are open under the LingBot-Video name. Two things I would pus…

r/MachineLearning·reddit.com··0.2

We submitted our first paper to ARR, intending to commit to IJCNLP-AACL. Area: Multilingualism and Cross-Lingual NLP Scores: (3,4) (2.5,3) (3,3) - average 2.83 for reviews, 3.33 for confidence 3 for soundness on all, 4 for reproducibility, and 2,3,3 for excitement. The reviewer who gave us 2.5 has a very short review. They only list one weakness in two sentences and give the paper 2.5. They also …

r/MachineLearning·reddit.com··0.2

Doing a bachelor thesis on fine-grained car classification (telling apart VW Golf generations from listing photos). Simple setup: frozen encoder → embeddings → weighted k-NN. On my small dataset (175 train / 132 test): I thought maybe it was a cosine vs euclidean thing, but my embeddings are L2-normalized so both give the same ranking. Tried both, DINOv2 stays at 41%. I get that SigLIP was traine…

r/MachineLearning·reddit.com··0.2

I understand that it may not be appropriate to call it “officially accepted” yet because of the wording used in the notification, and I also saw on Twitter/X that they said they are working on it. However, it has already been around three weeks since then, and we have already submitted the camera-ready version. Registration, visa applications, travel planning, and funding requests all depend on t…

r/MachineLearning·reddit.com··0.2

Hello I published a paper. Most defenses against fine-tuning poisoning try to detect malicious data or reduce its impact. I explored a different question: What if the model simply could not learn certain malicious updates? The idea is to constrain fine-tuning to a subspace learned from trusted LoRA adapters. Useful adaptation remains possible, but some malicious directions become geometrically un…

r/MachineLearning·reddit.com··0.1

Hi everyone! I wanted to share some recent progress on TorchJD that might be useful to the machine learning community. When training models with multiple losses (multiple tasks, constraints, auxiliary losses, regularization terms, etc.), you typically have two options: Scalarization: Various ways to combine those losses into a single loss (e.g. average them or combine them with trainable weights)…

r/MachineLearning·reddit.com··0.1

Hi everyone, I recently finished my Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling. Instead of just compiling my published papers, I tried to write it as an accessible, self-contained textbook for anyone interested in the intersection of radio propagation simulation, autodiff, and ML. Permanent handle: https://hdl.handle.net/2078.5/278727 Repo with TeX source files Whil…

r/MachineLearning·reddit.com··0.1

We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games. Mira was trained on 10k hours of synthetic Rocket League data. The model has 5B parameters and runs for 4 players at 20 fps on a single B200. We've released a playable online demo, an in-depth technical report as well as a 1k hour dataset of 4-players gameplay: Demo: https://mira-wm.com Technical repor…

r/MachineLearning·reddit.com··0.1

Please post your personal projects, startups, product placements, collaboration needs, blogs etc. Please mention the payment and pricing requirements for products and services. Please do not post link shorteners, link aggregator websites , or auto-subscribe links. -- Any abuse of trust will lead to bans. Encourage others who create new posts for questions to post here instead! Thread will stay al…

r/MachineLearning·reddit.com··0.1

For Job Postings please use this template Hiring: [Location], Salary:[], [Remote | Relocation], [Full Time | Contract | Part Time] and [Brief overview, what you're looking for] For Those looking for jobs please use this template Want to be Hired: [Location], Salary Expectation:[], [Remote | Relocation], [Full Time | Contract | Part Time] Resume: [Link to resume] and [Brief overview, what you're l…

r/MachineLearning·reddit.com··0.1