Search: “r-machinelearning”

'There's a new generation of empirical deep learning researchers, hacking away at whatever seems trendy, blowing with the wind' [D]

This is a discussion thread on r/MachineLearning critiquing a perceived cultural shift in AI research, where a newer wave of empirical deep learning researchers is characterized as prioritizing trendy

12 Apr 2026

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Training an AI to play Resident Evil Requiem using Behavior Cloning + HG-DAgge [P]

This r/MachineLearning post details a project in which a developer trains an AI agent to autonomously play *Resident Evil Requiem* using imitation learning techniques — starting with Behavior Cloning

12 Apr 2026

FlashAttention (FA1–FA4) in PyTorch - educational implementations focused on algorithmic differences [P]

This r/MachineLearning post presents educational PyTorch implementations of FlashAttention versions 1 through 4, designed to highlight the key algorithmic differences across each iteration rather than

Is 'live AI video generation' a meaningful technical category or just a marketing term? [R]

The specific Reddit thread could not be retrieved directly, but based on its title, source, and the broader context of r/MachineLearning discussions, here is a fitting knowledge base summary: This r/M

PhD or Masters for Computational Cognitive Science [R]

This Reddit post on r/MachineLearning discusses the decision between pursuing a PhD versus a Master's degree for those interested in computational cognitive science, an interdisciplinary field combini

Post Rebuttal ICML Average Scores? [D]

This Reddit thread on r/MachineLearning is a community discussion where ICML 2025 authors share and compare their post-rebuttal reviewer scores, seeking to gauge where they stand relative to other sub

TMLR reviews stalled [D]

A Reddit discussion thread in the r/MachineLearning community raised concerns about significant delays in the peer review process at the Transactions on Machine Learning Research (TMLR), a rolling-...

What if your HNSW index stored 3-bit embeddings instead of float32? [R]

A research paper (arXiv:2601.11557) proposes replacing the dominant 'HNSW + float32 + cosine similarity' vector database stack with an information-theoretic alternative that uses Maximally Informat...

[D] 60% MatMul Performance Bug in cuBLAS on RTX 5090 [D]

A bug was identified in NVIDIA's cuBLAS library where `cublasSgemmStridedBatched` dispatches the same suboptimal `cutlass_80_simt_sgemm_128x32_8x5` kernel for every batched FP32 workload from 256×...

[D] Large scale OCR [D]

The specific Reddit thread (r/MachineLearning post ID 1shg2ob) was not returned in the search results, and I was unable to directly fetch the URL's content. I cannot accurately summarize a page I h...

Getting sabotaged by a reviewer at IJCAI [D]

I was unable to retrieve the specific Reddit post at the provided URL through search results. The search did not surface the content of that particular thread (reddit.com/r/MachineLearning/comments...

Is google deepmind known to ghost applicants? [D]

A thread on r/MachineLearning asks whether Google DeepMind is known for 'ghosting' applicants — i.e., failing to provide timely or any rejection responses after interviews or application submission...

[P] ibu-boost: a GBDT library where splits are absolutely rejected, not just relatively ranked[P]

The search results did not return the specific Reddit post about ibu-boost. Let me try fetching it directly. I was unable to retrieve the specific Reddit post or any direct information about the **...

Started a video series on building an orchestration layer for LLM post-training [P]

The search did not return the specific Reddit post. Based on available context from the search results and the post title itself, I cannot accurately summarize the Reddit thread's content without r...

What image/video training data is hardest to find right now? [R]

I was unable to retrieve the specific Reddit thread content from the URL provided. The search results did not surface the actual post or its comments from r/MachineLearning (post ID: 1shibc9). Redd...

AI Systems Performance Engineering by Chris Fregly - is it worth it? [D]

*AI Systems Performance Engineering* by Chris Fregly is a ~1,000-page book (published December 2025) covering GPU/CUDA kernel tuning, PyTorch optimization, distributed training, and high-throughput...

Anyone have an S3-compatible store that actually saturates H100s without the AWS egress tax? [R]

A r/MachineLearning discussion explores the challenge of finding S3-compatible object storage that can both saturate H100 GPU bandwidth and avoid AWS's egress fees during high-throughput AI trainin...

Is the ICML 2026 final justification period still open? [R]

The ICML 2026 'final justification' is a **new requirement this year** where reviewers must submit a written explanation of their final recommendation after reading author rebuttals. New for ICML ...

Looking for Feedback & Improvement Ideas[P]

I was unable to retrieve the specific Reddit post at the URL provided (r/MachineLearning/comments/1sgtaqi), as it did not appear in the search results — it may be too new, removed, or not indexed. ...

[P] PCA before truncation makes non-Matryoshka embeddings compressible: results on BGE-M3 [P]

Applying PCA as a rotation step before naively truncating embeddings from non-Matryoshka models like BGE-M3 can recover much of the retrieval quality that is otherwise lost when simply chopping dim...

Parax: Parametric Modeling in JAX + Equinox [P]

**Paramax** (also referred to as 'Parax' in the Reddit post title) is a small Python library by Daniel Ward that provides parameterizations and parameter constraints for JAX PyTrees, designed to wo...

Agents

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D]

A Reddit discussion thread on r/MachineLearning in which practitioners explore how foundational concepts from Sutton and Barto's *Reinforcement Learning: An Introduction* — including MDPs, policy g...

agentsr-machinelearning

[D] Dealing with an unprofessional reviewer using fake references and personal attacks in ICML26

A Reddit discussion on r/MachineLearning describes a researcher's experience with an ICML 2026 reviewer who cited fabricated references and made personal attacks in their review. The post reflects ...

[D] How are reviewers able to get away without providing acknowledgement in ICML 2026?

At ICML 2026, reviewers are officially required to acknowledge authors' rebuttals — starting March 31, if authors have posted a response to an official review, the reviewer is required to acknowle...

Free tool I built to score dataset quality (LQS) — feedback welcome [D]

The search results did not return the specific Reddit post content. Based on what was retrieved, I'm unable to produce a fully sourced factual summary of that particular Reddit thread about the LQS...

ICML 2026 am I cooked? [D]

I wasn't able to retrieve the specific Reddit thread content from that URL. Reddit threads often require direct access or login to view, and my web search did not return the content of that specifi...

Looking for help with IEEE PDF eXpress [D]

I was unable to retrieve the specific Reddit thread content from the provided URL. The search results did not surface the actual post or its discussion. I can provide a general summary based on the...

[P] Building a LLM from scratch with Mary Shelley's 'Frankenstein' (on Kaggle)

A beginner-friendly tutorial demonstrating how to build a ~3.2M parameter LLM from scratch using Mary Shelley's *Frankenstein* as the sole training corpus, designed to run on Kaggle's free GPU in u...

[P] citracer: a small CLI tool to trace where a concept comes from in a citation graph

`citracer` is a small Python CLI tool available on PyPI that traces citation chains for any keyword across research papers, helping researchers identify where a concept originates in a citation gra...