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.

Profile generated by AI for Anything

Real task cost across GPT, Claude, Gemini and Kimi, 10.6x spread on models with only 2x price difference [R]

Real task cost across GPT, Claude, Gemini and Kimi, 10.6x spread on models with only 2x price difference [R]

1d

SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]

SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]

2d

Looking for feedback on my GPU-accelerated Snake AI project [P]

Looking for feedback on my GPU-accelerated Snake AI project [P]

3d

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"

3d

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]

3d

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]

4d

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]

5d

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

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

5d

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]

6d

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.

6d

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]

8d

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]

8d

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]"

9d

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

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

9d

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]

10d

[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]

10d

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

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

10d

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

12d

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

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

14d

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.

15d

Let me rewrite this headline following the rules.

Let me rewrite this headline following the rules.

15d

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]

18d

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

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

19d

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]"

20d