r/MachineLearning
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r/MachineLearning community 1mo ago
NeurIPS 2026 Workshop Proposal Decisions [D]
The official notification date was listed as July 11, AoE, but I have not seen any emails or public announcements yet. We are trying to plan ahead, and workshops already have a relatively short timeline for re-confirming speakers(their schedule may change), organizing reviewers,…
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r/MachineLearning community 1mo ago
Fine tuning a model [D]
Hi folks, I am kind of new to fine tuning a model. I don't know how to fine tune. Now our team have to fine tune a model on one project. What we decided is, we will be using small model like, llama, mistral, or Gemma, and them feed it with our data. And from there we will be…
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r/MachineLearning community 1mo ago
Where to publish a construction BIM Benchmark? [D]
Hey! I'm an ML Engineer at a startup building AI for construction cost estimation, and we're getting ready to publish some research. We've paid professional construction estimators to create item-level takeoffs from construction drawing sets, then had multiple rounds of review…
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r/MachineLearning community 1mo ago
Context and average best linear mappings [D]
The context (in a border sense) viewpoint of neural networks is not thought about too much but it leads to a simple best average linear mapping viewpoint of a layer. https://archive.org/details/a-context-based-view-of-deep-neural-networks   submitted by  …
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r/MachineLearning community 1mo ago
VultronRetriever family of models released on HuggingFace![R]
Thrilled to announce the VultronRetriever family of models, which were announced during Raise Summit Paris and demonstrated running Q&A and embedding documents on the iPhone, fully offline! 📱 Some highlights from the VultronRetriever model family: 🥇 Each model ranks #1 in its…
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r/MachineLearning community 1mo ago
Withdraw from ACL ARR and resubmit to a workshop? [D]
Hey guys, I received mediocre scores for my EMNLP paper during the May ACL ARR cycle: 2.5/3, 3/4, 2.5/4. The paper is in the Interpretability track. The reviewers had no larger issue with the methodology or the paper in general, but it seemed like they didn't fully get the so…
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r/MachineLearning community 1mo ago
Predicting human preference for generated image pairs using HPSv3 [P]
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…
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r/MachineLearning community 1mo ago
How does *ACL conferences acceptance work [D]
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…
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r/MachineLearning community 1mo ago
multiple linear regression in scratch [P]
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]
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r/MachineLearning community 1mo ago
On Adversarial RL [R]
Zhang et al. paper's introducing the SA-MDP framework (2020) (state adversarial MDP) argues that an attack using the critic network (V(s)) is expected and supposed to produce a weaker attack than an attack using the actor network (pi(s)) itself to generate perturbation on agent…
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r/MachineLearning community 1mo ago
Mapping world model taxonomy [P]
Hey ML community! I’ve been exploring world models and wrote a short article aimed at making the concept easier to understand. I also propose a framework for classifying different approaches and highlight a few trends that emerge from that classification. I’d appreciate feedback…
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r/MachineLearning community 1mo ago
Hyperparameter tuning approach question [R]
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…
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r/MachineLearning community 1mo ago
Journals vs Conferences ML Research [R]
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…
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r/MachineLearning community 1mo ago
Why does the same H100 cost 5x more depending on where you rent it? [D]
I kept finding wildly different prices for the same GPU across providers and data centers, so I built a OS CLI that searches live GPU capacity and shows the cheapest available routes npx gpu-price-finder Supports RTX 4090, RTX 5090, L40S, A100, H100 and lets you filter by…
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r/MachineLearning community 1mo ago
First time ARR users - some questions [D]
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…
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r/MachineLearning community 1mo ago
DINOv2 way worse than SigLIP in k-NN. Is this expected? [R]
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): SigLIP2 SO400M: ~92% CLIP ViT-L: ~59% DINOv2 Giant: ~41% I…
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r/MachineLearning community 1mo ago
COLM 2026 Decision Discussion [R]
COLM 2026 Decision about to come soon so lets talk here.   submitted by   /u/North_Menu718 [link]   [comments]
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r/MachineLearning community 1mo ago
What if a model could only learn what trusted LoRA adapters can express? [R]
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…
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r/MachineLearning community 1mo ago
TorchJD: Training with multiple losses in PyTorch [P]
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:…
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r/MachineLearning community 1mo ago
Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling [R]
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…
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r/MachineLearning community 1mo ago
[D] Issue with arxiv - abstract not matching pdf/html [D]
Hi, I was reading the openRLHF paper: https://arxiv.org/pdf/2501.03262v4 , but when I click the abstract page: https://arxiv.org/abs/2501.03262v4 , it shows "REINFORCE++". Note that https://arxiv.org/html/2501.03262v4 still shows the correct openRLHF paper. I believe Arxiv is…
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