Machine Learning

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Machine Learning

WTF. Its real. AllBirds (the shoe company) is pivoting to inference.

I'm profoundly ambivalent re: how to feel about this; is it great -- what a scrappy, bold pivot! Or wildly dumb - its so far from their c...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Construction estimating software that uses AI.. has anyone here tested one?

i run a small remodeling business and estimating is honestly the worst part… still stuck doing everything in spreadsheets and it takes fo...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Testing chatbot with AI ML[D]

Hey guys, I have a doubt regarding chatbot testing. We are working in a telecom company and we have a chatbot on our homepage. Right now,...

Reddit - Machine Learning · 1 min ·

All Content

[2510.12901] SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms
Machine Learning

[2510.12901] SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms

Abstract page for arXiv paper 2510.12901: SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms

arXiv - Machine Learning · 4 min ·
[2510.10324] On some practical challenges of conformal prediction
Machine Learning

[2510.10324] On some practical challenges of conformal prediction

Abstract page for arXiv paper 2510.10324: On some practical challenges of conformal prediction

arXiv - Machine Learning · 3 min ·
[2510.03721] Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
Llms

[2510.03721] Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models

Abstract page for arXiv paper 2510.03721: Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models

arXiv - Machine Learning · 4 min ·
[2508.01277] Foundation Models for Bioacoustics -- a Comparative Review
Llms

[2508.01277] Foundation Models for Bioacoustics -- a Comparative Review

Abstract page for arXiv paper 2508.01277: Foundation Models for Bioacoustics -- a Comparative Review

arXiv - Machine Learning · 4 min ·
[2508.01321] Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
Machine Learning

[2508.01321] Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables

Abstract page for arXiv paper 2508.01321: Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables

arXiv - Machine Learning · 3 min ·
[2506.04450] Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
Llms

[2506.04450] Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification

Abstract page for arXiv paper 2506.04450: Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification

arXiv - Machine Learning · 4 min ·
[2505.17288] Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
Llms

[2505.17288] Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation

Abstract page for arXiv paper 2505.17288: Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Ge...

arXiv - Machine Learning · 3 min ·
[2505.13213] Diffusion Models with Double Guidance: Generate with aggregated datasets
Machine Learning

[2505.13213] Diffusion Models with Double Guidance: Generate with aggregated datasets

Abstract page for arXiv paper 2505.13213: Diffusion Models with Double Guidance: Generate with aggregated datasets

arXiv - Machine Learning · 3 min ·
[2505.12412] Training Latent Diffusion Models with Interacting Particle Algorithms
Machine Learning

[2505.12412] Training Latent Diffusion Models with Interacting Particle Algorithms

Abstract page for arXiv paper 2505.12412: Training Latent Diffusion Models with Interacting Particle Algorithms

arXiv - Machine Learning · 3 min ·
[2504.16474] Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
Machine Learning

[2504.16474] Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation

Abstract page for arXiv paper 2504.16474: Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoret...

arXiv - Machine Learning · 4 min ·
[2502.18535] A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Machine Learning

[2502.18535] A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning

Abstract page for arXiv paper 2502.18535: A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning

arXiv - Machine Learning · 4 min ·
[2501.16997] Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention
Machine Learning

[2501.16997] Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention

Abstract page for arXiv paper 2501.16997: Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention

arXiv - Machine Learning · 4 min ·
[2501.05675] Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
Llms

[2501.05675] Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection

Abstract page for arXiv paper 2501.05675: Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection

arXiv - Machine Learning · 4 min ·
[2410.14843] Predictive variational inference: Learn the predictively optimal posterior distribution
Machine Learning

[2410.14843] Predictive variational inference: Learn the predictively optimal posterior distribution

Abstract page for arXiv paper 2410.14843: Predictive variational inference: Learn the predictively optimal posterior distribution

arXiv - Machine Learning · 3 min ·
[2408.02839] Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
Machine Learning

[2408.02839] Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance

Abstract page for arXiv paper 2408.02839: Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance

arXiv - Machine Learning · 4 min ·
[2407.15264] LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
Machine Learning

[2407.15264] LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme

Abstract page for arXiv paper 2407.15264: LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme

arXiv - Machine Learning · 4 min ·
[2402.00094] Deep Neural Networks: A Formulation Via Non-Archimedean Analysis
Machine Learning

[2402.00094] Deep Neural Networks: A Formulation Via Non-Archimedean Analysis

Abstract page for arXiv paper 2402.00094: Deep Neural Networks: A Formulation Via Non-Archimedean Analysis

arXiv - Machine Learning · 3 min ·
[2306.05494] Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
Machine Learning

[2306.05494] Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones

Abstract page for arXiv paper 2306.05494: Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Sys...

arXiv - Machine Learning · 4 min ·
[1906.05284] Image-Adaptive GAN based Reconstruction
Machine Learning

[1906.05284] Image-Adaptive GAN based Reconstruction

Abstract page for arXiv paper 1906.05284: Image-Adaptive GAN based Reconstruction

arXiv - Machine Learning · 3 min ·
[2603.16739] SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
Llms

[2603.16739] SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

Abstract page for arXiv paper 2603.16739: SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

arXiv - Machine Learning · 4 min ·
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