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Machine Learning

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly.

I built an experimental UI and visualization layer around Meta’s open brain-response model just to see whether this stuff actually works ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[R] First open-source implementation of Hebbian fast-weight write-back for the BDH architecture

The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during i...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] Could really use some guidance . I'm a 2nd year Data Science UG Student

I'm currently finishing up my second year of a three year Bachelor of Data Science degree. I've got the basics down quite well, linear re...

Reddit - Machine Learning · 1 min ·

All Content

Llms

Open Source Alternative to NotebookLM

For those of you who aren't familiar with SurfSense, SurfSense is an open-source alternative to NotebookLM for teams. It connects any LLM...

Reddit - Artificial Intelligence · 1 min ·
Nlp

[D] Matryoshka Representation Learning

Hey everyone, Matryoshka Representation Learning (MRL) has gained a lot of traction for its ability to maintain strong downstream perform...

Reddit - Machine Learning · 1 min ·
Nlp

[R] VLouvain: Louvain Community Detection Directly on Vectors, No Graph Construction

You have embeddings for your objects. You want to build a similarity graph and find communities, whether for GraphRAG, a recommender syst...

Reddit - Machine Learning · 1 min ·
[2602.10218] ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs
Llms

[2602.10218] ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs

Abstract page for arXiv paper 2602.10218: ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs

arXiv - Machine Learning · 3 min ·
[2512.22196] AETAS: Analysis of Evolving Temporal Affect and Semantics for Legal History
Nlp

[2512.22196] AETAS: Analysis of Evolving Temporal Affect and Semantics for Legal History

Abstract page for arXiv paper 2512.22196: AETAS: Analysis of Evolving Temporal Affect and Semantics for Legal History

arXiv - Machine Learning · 3 min ·
[2509.05909] Learning Magnetic Order Classification from Large-Scale Materials Databases
Machine Learning

[2509.05909] Learning Magnetic Order Classification from Large-Scale Materials Databases

Abstract page for arXiv paper 2509.05909: Learning Magnetic Order Classification from Large-Scale Materials Databases

arXiv - Machine Learning · 3 min ·
[2509.01784] Modeling and benchmarking quantum optical neurons for efficient neural computation
Machine Learning

[2509.01784] Modeling and benchmarking quantum optical neurons for efficient neural computation

Abstract page for arXiv paper 2509.01784: Modeling and benchmarking quantum optical neurons for efficient neural computation

arXiv - Machine Learning · 4 min ·
[2508.00596] Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience
Machine Learning

[2508.00596] Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience

Abstract page for arXiv paper 2508.00596: Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience

arXiv - Machine Learning · 4 min ·
[2411.19093] Monitoring access to piped water and sanitation infrastructure in Africa at disaggregated scales using satellite imagery and self-supervised learning
Nlp

[2411.19093] Monitoring access to piped water and sanitation infrastructure in Africa at disaggregated scales using satellite imagery and self-supervised learning

Abstract page for arXiv paper 2411.19093: Monitoring access to piped water and sanitation infrastructure in Africa at disaggregated scale...

arXiv - Machine Learning · 4 min ·
[2410.09027] Variance reduction combining pre-experiment and in-experiment data
Nlp

[2410.09027] Variance reduction combining pre-experiment and in-experiment data

Abstract page for arXiv paper 2410.09027: Variance reduction combining pre-experiment and in-experiment data

arXiv - Machine Learning · 3 min ·
[2206.10143] Noise-contrastive Online Change Point Detection
Nlp

[2206.10143] Noise-contrastive Online Change Point Detection

Abstract page for arXiv paper 2206.10143: Noise-contrastive Online Change Point Detection

arXiv - Machine Learning · 3 min ·
[2509.24302] LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
Llms

[2509.24302] LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

Abstract page for arXiv paper 2509.24302: LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

arXiv - Machine Learning · 4 min ·
[2508.05984] Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to $Q$-Learning
Nlp

[2508.05984] Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to $Q$-Learning

Abstract page for arXiv paper 2508.05984: Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to $Q$-Lear...

arXiv - Machine Learning · 3 min ·
[2508.05108] Learning from Similarity-Confidence and Confidence-Difference
Machine Learning

[2508.05108] Learning from Similarity-Confidence and Confidence-Difference

Abstract page for arXiv paper 2508.05108: Learning from Similarity-Confidence and Confidence-Difference

arXiv - Machine Learning · 4 min ·
[2412.07971] Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models
Machine Learning

[2412.07971] Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models

Abstract page for arXiv paper 2412.07971: Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models

arXiv - Machine Learning · 4 min ·
[2303.10371] Geometric Imbalance in Semi-Supervised Node Classification
Nlp

[2303.10371] Geometric Imbalance in Semi-Supervised Node Classification

Abstract page for arXiv paper 2303.10371: Geometric Imbalance in Semi-Supervised Node Classification

arXiv - Machine Learning · 3 min ·
[1602.05350] Relative Error Embeddings for the Gaussian Kernel Distance
Nlp

[1602.05350] Relative Error Embeddings for the Gaussian Kernel Distance

Abstract page for arXiv paper 1602.05350: Relative Error Embeddings for the Gaussian Kernel Distance

arXiv - Machine Learning · 4 min ·
[2603.22254] Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning
Machine Learning

[2603.22254] Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning

Abstract page for arXiv paper 2603.22254: Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Ma...

arXiv - Machine Learning · 4 min ·
[2603.21465] DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation
Llms

[2603.21465] DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation

Abstract page for arXiv paper 2603.21465: DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation

arXiv - Machine Learning · 4 min ·
[2603.21389] Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Llms

[2603.21389] Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models

Abstract page for arXiv paper 2603.21389: Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models

arXiv - Machine Learning · 3 min ·
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