#RedditMachinelearning

Hey everyone! I'm working on an object-detection project and fine-tuning Meta's DETR model on a custom dataset of around 500 images. The main challenge I'm facing right now is annotation.…

TL;DR In simulation, a sparse-recovery decoder over a few random +/-1 probe reads localizes up to 64 stuck cells in a 256x256 analog tile with 4 to 12 counted reads at 1% read noise. Reading every cell takes 256 reads.…

I have been thinking about how result tables get read when the interesting part is how close everyone is. The Agent Memory Leaderboard's public board from August is a nice case.…

Triads: the fundamental units of the language of thought The neural network would consist of multiple layers with at least one layer consisting of multiple attention heads.…

Does anyone have the author kit for CVPR 2027? The official website doesn't seem to have it yet, unlike in previous years. Please correct me if I'm wrong. submitted by /u/Maleficent_Reply_471 [link] [comments]

Hello, Our paper was accepted to EMNLP and we were given poster slot. However due to Visa issue, we cannot attend in-person anymore. We mailed to the event team, but they said that it is no longer possible to change to virtual.…

I'm training text2asmr, a text-to-ASMR model (whispering plus trigger sounds like tapping, crinkling, brushing). The generator needs every training clip tagged with the sounds in it, and there are about 126k recordings, so I tried frontier models as…

I embedded the title and abstract of every NeurIPS 2026 paper (and every 2025 paper) with Qwen3-Embedding-0.6B, grouped them into 150 topics and 20 areas, and put them on one map with DataMapPlot.…

Have you looked at this iclr text detector? [https://opentextdetector.com/](https://opentextdetector.com/)) Do you think this will impact the review process? AI detectors are usually unreliable so I hope not. submitted by /u/Whatever_635 [link] [comments]

A while back I posted SteerTTS v1, a small English TTS you steer with numbers (https://huggingface.co/WhissleAI/steer-tts). Today I am releasing the edge variant: https://huggingface.co/WhissleAI/steer-tts-edge Size: everything an app has to ship…

I implemented the 2017 transformer architecture using pytorch, the model right now doesn't predict very good due to the fact that I am using on 2 layers of encoder and decoder with just 1000 words to train it , due to the fact that it takes a lot of time…

TL;DR: When Coqui AI shut down, they left XTTS v2 without official training code for the DVAE audio tokenizer and Latent HiFi-GAN vocoder, and fine-tuning new scripts (Arabic, Indic, etc.) broke on fixed vocabularies.…

Carbon-X is a 14.8B parameter decoder-only model that takes raw DNA in a normal chat and answers in English. It shares one token stream for text and DNA, using 6-mer tokens, and was mid-trained on 302B tokens.…

Starting a project to detect candidate stenoses in x-ray coronary angiograms. The goal is high recall, false positives are fine as long as it doesn't flag half the image. I already tried YOLO on a couple of in-house datasets earlier.…

I’m sharing my study notes in case they might be useful to someone else. The Transformer notes are mostly based on the original architecture described in Attention Is All You Need.…

Hey folks, maybe a really dumb question from an inexperienced PhD student. I recently submitted to ICLR and spotted a bunch of papers that I was already familiar with because I had seen them on arXiv before.…

Long-context models can now handle hundreds of thousands, even millions of tokens. But I've been wondering if we're focusing too much on recall and not enough on what happens when information changes.…

I've been learning how language models work, especially next-token prediction, and came across this paper on Next-Concept Modeling (NCM). The interesting part is how it generates text.…

AAAI phase 2 reviews are expected to be visible in the next 24 hours (24/10). Hope for the best outcomes for those who stay in this phase, and let's share your reviews! submitted by /u/Away-Cattle7081 [link] [comments]

I wanted to see how far you can get making a pretrained symbolic music model "listen" to a live player without training it. Turns out pretty far.…