r/MachineLearning
r/MachineLearning

r/MachineLearning

r/MachineLearning is a Reddit community for machine learning researchers and enthusiasts. It features discussions on topics like networking at conferences and the long-term value of AI research.

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The original headline is: "AI system Fable 5 reportedly solves major open problem in Algebraic Geometry"

The original headline is: "AI system Fable 5 reportedly solves major open problem in Algebraic Geometry"

1h

Tri-Net v2: Open-source implementation of our Scientific Reports paper on unified skin lesion and symptom-based monkeypox detection [R]

Tri-Net v2: Open-source implementation of our Scientific Reports paper on unified skin lesion and symptom-based monkeypox detection [R]

15h

Introducing ASCIITermDraw Bench | Testing the ability of VLMs to Generate and Edit ASCII [P]

Introducing ASCIITermDraw Bench | Testing the ability of VLMs to Generate and Edit ASCII [P]

1d

Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]

Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]

2d

ASCIITermDraw-Bench | Evaluating VLMs on ASCII Generation and Editing Tasks [P]

ASCIITermDraw-Bench | Evaluating VLMs on ASCII Generation and Editing Tasks [P]

2d

GPT-2 Small’s embedding geometry around “Trump”: discretized vs. continuous nearest neighbours [P]

GPT-2 Small’s embedding geometry around “Trump”: discretized vs. continuous nearest neighbours [P]

2d

The original title is about deep learning for scRNA-seq analysis. Let me rewrite it to be punchy and specific while preserving key facts.

The original title is about deep learning for scRNA-seq analysis. Let me rewrite it to be punchy and specific while preserving key facts.

2d

Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]

Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]

4d

PnP-CoSMo: A Multi-Contrast MRI Reconstruction Framework based on Content/Style Modeling [R]

PnP-CoSMo: A Multi-Contrast MRI Reconstruction Framework based on Content/Style Modeling [R]

5d

The original title is: "All major robotics and VLA papers, ranked and benchmarked in a single place [P]"

The original title is: "All major robotics and VLA papers, ranked and benchmarked in a single place [P]"

6d

Building an XGBoost Pipeline for Cross-Domain Conflict Resolution with Explainable AI

Building an XGBoost Pipeline for Cross-Domain Conflict Resolution with Explainable AI

6d

I trained a vision-language model to play Snake, and so can you. [P]

I trained a vision-language model to play Snake, and so can you. [P]

7d

[P] RL-training Qwen3.6 to RL-train tool using AI models [P]

[P] RL-training Qwen3.6 to RL-train tool using AI models [P]

7d

LLM hallucination paper(using math) accepted to ICML workshop[R]

LLM hallucination paper(using math) accepted to ICML workshop[R]

7d

Zer0Fit: Open-source MCP server for Google's TabFM & TimesFM zero-shot ML models

Zer0Fit: Open-source MCP server for Google's TabFM & TimesFM zero-shot ML models

9d

Please help me understand figure on subspace similarity in LoRA paper. [D]

Please help me understand figure on subspace similarity in LoRA paper. [D]

11d

The original title is about IMGNet, a face verification model. Let me rewrite it to be punchy and informative while preserving key facts.

The original title is about IMGNet, a face verification model. Let me rewrite it to be punchy and informative while preserving key facts.

12d

Let me rewrite this headline following the rules.

Let me rewrite this headline following the rules.

12d

EMNLP: All of the papers in my review pool being detected as AI [D]

EMNLP: All of the papers in my review pool being detected as AI [D]

15d

I built a open source neural network shape validator [P]

I built a open source neural network shape validator [P]

16d

The original title is "How to get more from your chatbot for less [P]"

The original title is "How to get more from your chatbot for less [P]"

17d

Training transformers where every layer W = V·Uᵀ from initialization reveals a corpus-determined optimal rank - looking for arXiv endorser (cs.LG) [D]

Training transformers where every layer W = V·Uᵀ from initialization reveals a corpus-determined optimal rank - looking for arXiv endorser (cs.LG) [D]

17d

The original title is "Hamiltonian Neural Networks from a Differential Geometry Perspective [D]"

The original title is "Hamiltonian Neural Networks from a Differential Geometry Perspective [D]"

19d

P Moth-Retrieval: Graph-Free Multi-Hop Retrieval via Query-Time Orchestration (Beating Graph-Based Systems on HotpotQA) [P]

P Moth-Retrieval: Graph-Free Multi-Hop Retrieval via Query-Time Orchestration (Beating Graph-Based Systems on HotpotQA) [P]

20d