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I put together a small model to estimate NeurIPS acceptance based on scores and an assumed acceptance rate. Try it out here: https://levilingsch.github.io/neurips-acceptance-estimator/ submitted by /u/levydawg [link] [comments]
I'm an MCA student with hands-on experience in Python, LangChain, Chroma, HuggingFace, and FastAPI (built a RAG document-QA system already). My project guide specifically wants a real-world problem — something an actual company would need solved — not a generic "sentiment analysis on tweets" or "spam classifier" type project that's been done a thousand times. Looking for: - A problem real…
Hey guys, sorry if this is not the appropriate forum for this question. Is anyone going To ECCV and staying in Lund? Apparently a few days back i saw discounted travel pass available for both Malmo and Lund zone but now today I was going to buy it and the registration site says only Malmo pass. Did ECCV remove them? Because deadline to buy them is 28th august. I dont know why they removed it but…
I created a simple text to image benchmark. I curated 192 prompts that are difficult for T2I models in various ways: text rendering, spatial reasoning, human realism, negations, etc... I then asked a VLM to judge every output against a pre-specified binary question with the ground truth baked in. I'm publishing all the results including the images. (Most public T2I leaderboards don't publish the…
Author here. Ibteda Digital Library is a private community archive in Pakistan — for ten years we digitized rare Urdu books (lithographs, dictionaries, periodicals) on a DIY camera rig, finishing every page by hand in Photoshop. When we wound down daily operations, I realized those 575,729 finished pages across 1,765 books recorded a decade of crop decisions, so I registered them back to their raw…
I've been working on an open-source project called Millwright , an attempt to explore what an end-to-end machine learning workflow could look like in Rust. https://millwright-rs.dev/ This started while I was learning and building ML tooling in Rust. I kept finding capable individual libraries, but also gaps between them. Training a model was rarely the problem. Building the workflow around it —…
sklearn 1.9 fixed a bug in how BayesianRidge computes its uncertainty. We traced predict on 1.8 and 1.9 and compared the two formulas it actually computes, see if you can spot what changed before the notebook tells you. https://github.com/aadya940/scikit-verify/blob/master/examples/sklearn_bug_hunting.ipynb submitted by /u/Lost-Dragonfruit-663 [link] [comments]
Hi everyone, I’m researching how to design an AI agent for a medicine-reminder system. The agent has to decide, at each relevant time, whether to: send a reminder, wait (do nothing for now), or notify another person (e.g. caregiver), when it does not have complete information about the patient (has the dose already been taken? is the person nearby/attentive? are there adherence barriers? etc.).…
I am working on an evaluation design and would appreciate criticism before running it. Most coding-agent benchmarks collapse the model and its harness into one score. If a run fails, it is difficult to tell whether the cause was model capability, context assembly, task decomposition, tool design, retry policy, or the acceptance gate. A model can also look worse because the harness truncated its…
I wrote a technical breakdown of how search works on Papers with Code. The system combines keyword and semantic search, which produced better results than either approach alone. The stack includes: PostgreSQL with pgvector Qwen3-Embedding-0.6B for text embeddings Hugging Face Jobs with an NVIDIA L4 for batch embedding generation Hugging Face Buckets for storing artifacts A live embedding model…
I recently implemented a minimal, educational version of SynthID-Text-style watermarking for language models. I saw anthropic post about how they'll start adding watermarks to their model responses and it made me very curious as to how they'll do it and what do they even mean by watermark here. Like will we start getting random ads or something in the middle of model responses or what. Then…
I recently got my first paper accepted at EMNLP and open-sourced the code. The core idea is fundamental change, so I’ve been expanding it into a larger system with chatbot agents and extra components. My goal was to build a community around it as I plan to use it on other projects too but also knowing the field O genuinely see it being very useful. I’ve been highlighting open research questions…
Hooks and reads out Maia-3 23m model with chessformer_lens library: github.com/chessformer-lens/chessformer_lens DOI: 10.5281/zenodo.21986988 submitted by /u/Weird-Asparagus4136 [link] [comments]
Hey everyone! I wanted to share something I’ve been working on. I was inspired by projects from DeepMind and OpenAI, but noticed that most games are prohibitively difficult to integrate with an agent harness. So I built DelveRL from the ground up as a human-playable game with a structured API, deterministic simulation, procedural levels, partial observability, and enough strategic headroom for…
The preprint can be accessed via the following link: https://arxiv.org/abs/2608.12408 (q-bio.NC / cs.LG). And for the code: https://github.com/nilsleut/evaluation-resolution-rsa The following assertion is frequently made in model-brain comparisons: untrained convolutional neural networks (CNNs) have the capacity to match or surpass backpropagation-trained CNNs at the early visual cortex (V1) in…
I have got two papers which got desk rejected by PC saying they are previously got reviewed in arr. But those paper never got submitted ever. Any idea what can be done? submitted by /u/malakulmout347 [link] [comments]
I am trying understand how tree-based regression model handle the dependencies of the target variables on the interaction of explanatory variables. However my experiment revealed that my understanding about the fitting process of a lgbm is not correct. And I don’t know why. My experiment is quite simple: a target (for sake of simplicity only in [0, 1]) and two explanatory variables with two values…
I trained a 250M parameter model from scratch on 30B tokens of fineweb. It’s quantized to under 2 bits so the whole deployment is 60 MB and it needs about 80 MB of RAM to run. Runs around 400 tok/s on a normal laptop CPU, no GPU needed. How the long context works: the most recent 2048 tokens stay in fp16 like a normal KV cache. Everything older gets compressed to 1 bit and written to disk, about…
TL;DR: Hospital, fully on-prem OpenShift cluster. Multiple teams building prediction models, so we’re setting up a self-service platform with boundary policies. Evaluating ClearML vs OpenShift AI for the full MLOps lifecycle. Both look fine for development/deployment, but neither seems to give us production monitoring at the level we need (drift, bias, live dashboards per model). Extra twist: we…
Howdy y'all, In an effort to un-rust my SWE skills and learn more about Recommendation Systems, I decided to try my hand at developing one called By-Its-Cover TLDR: Check out the site and roast me: https://by-its-cover.com/ Check out the GitHub project and roast me: https://github.com/ByItsCover --- ## Recommendation System The recommendation system has two major parts: the semantic searches for…
The calculator model is the Casio FX-82CE X. It is not programmable or graphical so everything had to be done by hand. The architecture is simple, MNIST images (just 0s and 1s) downscaled to 3x3, with binary pixels, then with a fully connected layer, they are brought down to just 1 neuron, which serves as the output neuron. If it's value is above 0 it counts as a one, otherwise as a zero. The…
Hi, Did anyone here got an oral at BMVC? If yes, then what are the scores? Thanks. submitted by /u/dn8034 [link] [comments]
repo2nb is an open-source CLI that converts a GitHub repo into a runnable Kaggle or Colab notebook: walks the file tree, resolves dependencies, and generates cells, instead of you doing that by hand for a repo you didn't write (a paper's code, a tutorial, someone else's experiment). 0.2.0 highlights: Dependency resolution tries poetry export, then uv export, then requirements.txt, then falls back…
I have been reflecting on this while working on a project recently. Every time we start a new model, we rewrite roughly same scaffolding, data validation checks, feature transformation logic ; all of this is nealy 80 percent identical to last project I tired templating with cookiecutter style project generators. Initially it was okay, but it drifted from reality since noone wants to maintain a…
So got selected for a research internship at MSR, how good is the quality of work and how useful is it to move to Applied sciences or research sciences position at other FAANG companies after the internship. And any perks and other benefits that interns get during microsoft internship? Any tips will be appreciated. Specifically to get into AS at amazon , does this boost my chances? I'll be joining…
LLMs are too verbose and with a black box model the only things you control are what goes in and how you tell it to write back. Yesterday Claude Code shipped a "concise output style" where Claude keeps things short. We already have a paper out about this! We tested both channels, shortening the input prompt versus telling the model to output answer shorter, on the same questions across five…
I have built an on-prem GPU cluster, 8 nvidia 16GB GPU's and 256GB CPU RAM, 50TB HDD and several TBs of SSDs. I have used it, and currently use it, for ML/AI research. But that research is not constantly running jobs, sometimes I use it heavily and other times it's idle. I was considering just letting people with qualified use cases run jobs on it SLURM style. I don't know if its enough compute to…
What is up with the EMNLP prices? What is the actual price for attending as a student with one accepted paper? If I register now in August, is it $350 or $550? Congratulations to everyone accepted! https://preview.redd.it/to16g93h7rkh1.png?width=667&format=png&auto=webp&s=566162320e8adc161ab3a3772988c6ea64d8be6d submitted by /u/No_Sky9786 [link] [comments]
Original Article - https://x.com/p_nawrot/status/2089315591010079034 I've spent the last few years working on efficient attention and KV Cache Compression. I've read many papers, dug deep into reference or official implementations of methods, and inspected appendices—and I think I've learned a few things. One of them is definitely "how to make things look good, even when they aren't." I'm guilty…
I couldn't sleep because I couldn't stop wondering if anyone had tried using sinusoids instead of B-splines as activation in a KAN, and fortunately/unfortunately that was already the case. I could not find it posted here, so I though I would share in the hope of some insightful discussion. Arxiv: https://arxiv.org/abs/2407.04149 Github repo: https://github.com/ereinha/SineKAN Also what appears to…
First, I want to clarify that I am not claiming that LLMs are sentient. Basically all of my behavioral descriptions are anthropomorphizations to make communicating my results easier. For fun, I decided to post-train Qwen2.5-7B-Instruct to develop a generalizing self-belief of being sentient. I succeeded, and there were a couple of things that surprised me: - It only took 200 update steps before…
Currently struggling with an automatic budget selection, at 25% it’s very similar to benchmarks accuracy and seems even better on actual chat input however it many times retrieves too much. It would be nice to add an algorithm that actually can determine better retrieval other then CELF. submitted by /u/No_Sky9786 [link] [comments]
Hi everyone, I am heading into my final year of my BTech at a tier 1 college in India and just wrapped up a Physical AI internship at a MNC, working heavily with NVIDIA Isaac Sim and OpenFOAM. My background is fully focused on robotics and autonomy. My tech stack includes: Simulation & Middleware: Isaac Sim, Gazebo, ROS / ROS 2, PX4 Autopilot. Perception & Control: VIO, SLAM (RTAB-Map), Nav2,…
The results should be out soon. Let’s share them, guys. From my batch (Applied Track) Total 13 submissions: - 2 full papers - 1 short paper accepted Cheers! submitted by /u/d_edge_sword [link] [comments]
ECA was positioned as a successor to SE . The idea behind ECA is quite simple. Unlike SE which reduces the channel means into a smaller hidden layer, it directly uses a 1d convolution kernel on the channel means themselves, avoiding the need for dimensionality reduction. The results are undeniable: ECA is a clear improvement over SE. The authors claim that cross-channel interaction is a key…
​ Scaled dot-product attention (SDPA) computes its Attention by computing the similarity-scores of all image-tokens with all query tokens which results in O(N²·d) complexity. SSOG (Sum Of Separable Gaussians) instead learns a few Gaussian atoms for each head and only geometrically steers them based on the query token. Since the atoms can be factorized into a separable sum of Gaussians this…
Recently, I started working on DNA sequence modeling and decided to explore linear attention , mainly because DNA sequences can easily reach 1M tokens , making standard softmax attention extremely expensive in terms of memory and computation. The model performed reasonably well on several benchmarks, but I ran into a major problem with long-range recall . On a Needle in a Haystack-style benchmark,…
Interpretability lenses get fitted to one exact checkpoint, and as far as I can tell nobody had tested what a version update does to one. So this was my question: when a model line updates, does the fitted instrument survive, or do you refit every release? I tested the published Jacobian lens for Qwen3.6-27B (Neuronpedia, from Anthropic’s July workspace paper) applied unchanged to Qwen3.8-27B.…
Repo with dataset links: https://github.com/tesselwait/Starfield_Fauna Image classification dataset: 20,000 images from 50 fauna species in the video game Starfield. Images were extracted from video capture. About 2 minutes of footage was shot in all or most of the species biomes. One minute of daytime and nighttime footage respectively, usually in two 30-second takes to vary the background. A…
The date for NeurIPS 2026 author notifications is September 24th. First of all, is it normal for AC and reviewer discussion phases to be this long? This is particularly frustrating given that 5 out of the 6 reviewers in my two papers did not address the rebuttals. In any case, I was also wondering, given that ICLR's paper deadline is literally the day after (September 25th) whether you guys are…
Be honest if someone dropped a stack of high-end GPUs on your desk tomorrow, what would you actually do with them? And before the usual answers roll in: running local LLMs is banned for this thread. It’s been done to death and feels pretty pointless at this point. So… what else? Some niche scientific/simulation workload? Weird generative stuff that isn’t text? Distributed something-or-other?…
We introduce BDH-CQ, a reasoning system that brings these capabilities together. Demonstrations of a previously unseen task update recurrent memory; the query is then solved through iterative computation in a high-dimensional latent workspace. Intermediate reasoning states are not decoded into language. BDH-CQ makes memory, adaptation, and inference part of the same computational fabric. Inputs…
Hi everyone, we noticed that the AC's comment, along with our reply, has disappeared, and we are wondering if anyone else has experienced the same thing. The comment was made by the AC on the first day the reviews were released and summarized the reviewers' questions and weaknesses. We addressed all of their questions in our reply, but now both posts (the AC's comment and our response) are gone. I…
Hi, How much does adding an honest limitations section hurt the paper (apart from making it better)? Does it bias the reviewers? Will they want you to fix the things in the limitations section? If the reviewers let AI read the paper, will the limitations section bias AI? Would it be better if the limitations section was hidden from the reviewers? And if the reviewers would have to author a…
There was a period in the development of machine learning where application seemed to be informed by theory. Some of the best known theories include: If you train a model with too much data, then you get overfitting and your test performance will be suffer. Big models do not generalize because theoretically you will never have enough data. Never train on the test set, because it will result in…
Hey! Can you tell me how you would go about building a recommendation engine for our question bank? The idea is that it understands a student’s strengths and weaknesses and recommends questions accordingly — more questions around the areas they’re weak in, but without making them so difficult that they feel demotivated. I also want it to occasionally bring back questions from older topics to check…
Most classification metrics for oncology AI models (AUC, ICC, MAE) measure global agreement. They don't answer the question that actually matters at the point of care: how reliable is this model at the exact cutoff that decides whether a patient gets flagged, biopsied, or treated? I built oncothresh to evaluate models at a specific clinical threshold rather than in aggregate:…
This is the project my last two posts were building towards (this is the last of this silliness). I ported the Doom rendering algorithm to run inside a transformer. Instead of training a model, I used a compiler I wrote which converts computation graphs into transformer weights, and then ported Doom's algorithm into a compatible graph. The generated checkpoints can be loaded in Hugging Face…
Been working on this for the last few months. I've been working on PyTorch for the past few years and I always felt, many a times my work went into dump, because of some mistakes I made in the code. torch-preflight reads your PyTorch code and catches the bugs costing you GPU hours. Things like losses.append(loss), which holds the autograd graph from every step until CUDA dies on you or no…
Hello, I was curious about the differences you can get from the human reviewers and the llms. Any insight is welcome, thank you! submitted by /u/obliviousphoenix2003 [link] [comments]
