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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 ·
Machine Learning

[P] Create datasets from TikTok videos

For ML experiments and RAG projects: Tikkocampus converts creator timelines into timestamped, searchable segments and then use it to perf...

Reddit - Machine Learning · 1 min ·

All Content

[2512.02487] Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding
Llms

[2512.02487] Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding

Abstract page for arXiv paper 2512.02487: Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Und...

arXiv - AI · 4 min ·
[2601.14001] Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio
Nlp

[2601.14001] Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio

Abstract page for arXiv paper 2601.14001: Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio

arXiv - Machine Learning · 4 min ·
[2512.19703] ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval
Nlp

[2512.19703] ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval

Abstract page for arXiv paper 2512.19703: ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval

arXiv - Machine Learning · 4 min ·
[2511.05919] Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs
Llms

[2511.05919] Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs

Abstract page for arXiv paper 2511.05919: Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs

arXiv - AI · 4 min ·
[2511.08416] Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
Machine Learning

[2511.08416] Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

Abstract page for arXiv paper 2511.08416: Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

arXiv - Machine Learning · 4 min ·
[2511.04568] Riesz Regression As Direct Density Ratio Estimation
Machine Learning

[2511.04568] Riesz Regression As Direct Density Ratio Estimation

Abstract page for arXiv paper 2511.04568: Riesz Regression As Direct Density Ratio Estimation

arXiv - Machine Learning · 3 min ·
[2510.10827] Happiness is Sharing a Vocabulary: A Study of Transliteration Methods
Machine Learning

[2510.10827] Happiness is Sharing a Vocabulary: A Study of Transliteration Methods

Abstract page for arXiv paper 2510.10827: Happiness is Sharing a Vocabulary: A Study of Transliteration Methods

arXiv - AI · 3 min ·
[2509.20502] MARS: toward more efficient multi-agent collaboration for LLM reasoning
Llms

[2509.20502] MARS: toward more efficient multi-agent collaboration for LLM reasoning

Abstract page for arXiv paper 2509.20502: MARS: toward more efficient multi-agent collaboration for LLM reasoning

arXiv - AI · 4 min ·
[2509.04338] From Editor to Dense Geometry Estimator
Machine Learning

[2509.04338] From Editor to Dense Geometry Estimator

Abstract page for arXiv paper 2509.04338: From Editor to Dense Geometry Estimator

arXiv - AI · 4 min ·
[2503.14553] Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
Machine Learning

[2503.14553] Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions

Abstract page for arXiv paper 2503.14553: Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels ...

arXiv - Machine Learning · 4 min ·
[2502.10001] EmbBERT: Attention Under 2 MB Memory
Machine Learning

[2502.10001] EmbBERT: Attention Under 2 MB Memory

Abstract page for arXiv paper 2502.10001: EmbBERT: Attention Under 2 MB Memory

arXiv - Machine Learning · 4 min ·
[2412.08686] LatentQA: Teaching LLMs to Decode Activations Into Natural Language
Llms

[2412.08686] LatentQA: Teaching LLMs to Decode Activations Into Natural Language

Abstract page for arXiv paper 2412.08686: LatentQA: Teaching LLMs to Decode Activations Into Natural Language

arXiv - Machine Learning · 4 min ·
[2506.01929] Image Generation from Contextually-Contradictory Prompts
Machine Learning

[2506.01929] Image Generation from Contextually-Contradictory Prompts

Abstract page for arXiv paper 2506.01929: Image Generation from Contextually-Contradictory Prompts

arXiv - AI · 4 min ·
[2410.12164] Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning
Llms

[2410.12164] Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning

Abstract page for arXiv paper 2410.12164: Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator...

arXiv - Machine Learning · 4 min ·
[2407.00644] Clusterpath Gaussian Graphical Modeling
Machine Learning

[2407.00644] Clusterpath Gaussian Graphical Modeling

Abstract page for arXiv paper 2407.00644: Clusterpath Gaussian Graphical Modeling

arXiv - Machine Learning · 4 min ·
[2511.07719] Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources
Machine Learning

[2511.07719] Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources

Abstract page for arXiv paper 2511.07719: Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources

arXiv - AI · 4 min ·
[2510.15620] On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding
Nlp

[2510.15620] On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding

Abstract page for arXiv paper 2510.15620: On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding

arXiv - Machine Learning · 4 min ·
[2603.23443] Evaluating LLM-Based Test Generation Under Software Evolution
Llms

[2603.23443] Evaluating LLM-Based Test Generation Under Software Evolution

Abstract page for arXiv paper 2603.23443: Evaluating LLM-Based Test Generation Under Software Evolution

arXiv - AI · 4 min ·
[2510.03165] FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
Machine Learning

[2510.03165] FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence

Abstract page for arXiv paper 2510.03165: FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence

arXiv - Machine Learning · 3 min ·
[2603.23375] Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions
Nlp

[2603.23375] Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions

Abstract page for arXiv paper 2603.23375: Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Met...

arXiv - AI · 4 min ·
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