📊 Quantization

Model Compression, Neural Networks, Precision Reduction, Efficient Inference

[ARC-AGI-2 SoTA] Efficient Evolutionary Program Synthesis
ctpang.substack.com·52m·
Discuss: Substack
⚡Incremental Computation
AIssistant: An Agentic Approach for Human--AI Collaborative Scientific Work on Reviews and Perspectives in Machine Learning
arxiv.org·2h
🤖AI Curation
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
arxiv.org·2h
🧠Machine Learning
Beyond Bits: Unleashing Intelligence with Brain-Like Computing
dev.to·10h·
Discuss: DEV
🧠Neural Codecs
Dynamic Sensor Fusion and Predictive Modeling for Heavy Metal Contamination Mapping in Agricultural Soils
dev.to·16h·
Discuss: DEV
🏺Computational Archaeology
WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory
arxiv.org·2h
🌀Hyperbolic Geometry
Transmission Conditions for the Non-Overlapping Schwarz Coupling of Full Order and Operator Inference Models
arxiv.org·2h
✨Effect Handlers
Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
arxiv.org·2h
🔍Vector Forensics
PAC: Pronunciation-Aware Contextualized Large Language Model-based Automatic Speech Recognition
arxiv.org·2h
🗣️CMU Pronouncing
InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation
arxiv.org·2h
🌀Differential Geometry
Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
arxiv.org·1d
🔧Hardware Verification
Decoding Musical Origins: Distinguishing Human and AI Composers
arxiv.org·1d
🎼Computational Musicology
Graceful Motion: Learning to Flow with AI by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🔲Cellular Automata
RadarLLM: Adapting Pretrained Large Language Models for Marine Radar Target Detection with Preference-aware Loss
arxiv.org·1d
🎵Audio ML
Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
arxiv.org·2h
🧠Machine Learning
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
arxiv.org·1d
🧠Machine Learning
Primed for Performance: Turbocharging Transformers for Time Series Analysis by Arvind Sundararajan
dev.to·14h·
Discuss: DEV
📈Time Series
D-CAT: Decoupled Cross-Attention Transfer between Sensor Modalities for Unimodal Inference
arxiv.org·2d
🧠Machine Learning
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
arxiv.org·1d
⚛️Information Physics
Toward Next-generation Medical Vision Backbones: Modeling Finer-grained Long-range Visual Dependency
arxiv.org·1d
🧠Machine Learning