ICDM 2026 Results Waiting Place [D]
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]
Machine Learning
Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
Latest posts
Revisiting the Efficient Channel Attention paper (2019, 12k citations) - the central hypothesis isn't quite right [D]
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…
SSOG-Attention: Sum Of Separable Gaussians as a sub-quadratic and scalable alternative to SDPA. [R]
​ 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…
How can we solve long-range recall in linear attention? [D]
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,…
Survival of the Fitted: Qwen3.6-27B’s Jacobian lens reads and steers Qwen3.8-27B with zero refitting [R]
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.…
Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]
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…
NeurIPS 2026 Author Notifications Close to ICLR Deadline [D]
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…
If you had a bunch of GPUs lying around, what would you actually build with them? (Running LLMs is off the table) [D]
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?…
BDH-CQ: IN-CONTEXT LEARNING WITH RECURRENT LATENT REASONING [R]
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…
AC comment and our reply disappeared on OpenReview [D]
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…
How much does adding an honest limitations section hurt the paper? [D]
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…
Are there any theoretically-guided practices left in machine learning nowadays? [D]
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…
How to build an adaptive learning/recommendation system for a question bank? [D]
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…
Open-source Python library + no-code web dashboard for evaluating oncology AI models at clinical decision thresholds. [P]
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:…
I compiled Doom's renderer into a 21B-parameter transformer -- no training anywhere [P]
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…
A linter for PyTorch 'torch-preflight' [P]
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…
For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]
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]
Building text to ASCII diffusion model , need advice and guidance [P]
i wanna build a text diffusion model which interpret text and convert it into ascii images so like Text : build a cat Output : /\\\_/\\ ( o.o ) \> \^ < So , i have a decent background of ml algo ( completed cs229 , cs230 , Ml architecture and basic CNN and diffusion model ) ik making a project like this is tricky and making diffusion model like that from scratch is hard but i wanna try it because…
TMLR Relevance and Prestige [D]
I recently had a paper accepted to TMLR and was wondering how prestigious it is, in comparison to A* conferences (ie. NeurIPS, ICLR, ICML), but also vs journals like JMLR. submitted by /u/Awesome_Nerd10 [link] [comments]
Reproducible canvas-aligned low-level patterns in somerandomllm-generated images and their possible relation to iterative editing artifacts [D]
I may have stumbled onto something interesting while trying to figure out a recurring artifact in ChatGPT image generation and editing (maybe applicable to other models as well?). It started with a very practical problem: After several rounds of generative editing on portraits, I would sometimes get this faint cloudy / mottled texture in areas that should have stayed smooth — backgrounds, walls,…
worldproof: diagnosing where world-model predictions break and a measurement of when pixel metrics stop being able to rank models at all [P]
I've been building an open-source tool for diagnosing world models, the kind that predict future frames from a starting context and a sequence of actions. It compares a rollout against ground truth and against physical invariants, then tells you where and why the prediction falls apart. It doesn't score task success or planning quality on purpose, since there are already benchmarks for those.…
Neurips 2026: Modified date on reviews [D]
Reviews modified dates are public, and some are recent. I’m a bit confused as to how to interpret this. In other conferences, reviewers were required to provide a final justification, which would practically force them to modify their reviews during the AC discussion phase lest they get desk rejected. Here in Neurips I notice that a lot of the high-score reviews do not have a modification past the…
City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems [R]
City2Graph is a Python library I built that turns geospatial data into analysis-ready graphs (for spatial analysis, network analysis, and Graph Neural Networks as GeoAI), and the paper describing it has just been published, so I wanted to share it here. Repository: https://github.com/c2g-dev/city2graph import city2graph as c2g # buildings + street segments -> heterogeneous morphological graph…
Would you choose a PhD advisor who gives you complete freedom but almost no guidance? [D]
It’s an ML PhD with secure funding for 4–5 years and a senior, respected advisor. You get almost complete freedom to choose your own topics, projects, and collaborations, with very little micromanagement. The downside is that the advisor is also very hands-off. You should expect little guidance, feedback, or technical input. In practice, you would mostly be on your own. Would you see that as a…
[D] Self-Promotion Thread
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…
[D] Monthly Who's Hiring and Who wants to be Hired?
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…