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ML algorithms, training, and inference

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Machine Learning

[D] I had an idea, would love your thoughts

What happens that while training an AI during pre training we make it such that if makes "misaligned behaviour" then we just reduce like ...

Reddit - Machine Learning · 1 min ·
Machine Learning

I had an idea, would love your thoughts

What happens that while training an AI during pre training we make it such that if makes "misaligned behaviour" then we just reduce like ...

Reddit - Artificial Intelligence · 1 min ·
AI benchmarks are broken. Here’s what we need instead. | MIT Technology Review
Machine Learning

AI benchmarks are broken. Here’s what we need instead. | MIT Technology Review

One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.

MIT Technology Review · 8 min ·

All Content

[2603.26135] TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
Machine Learning

[2603.26135] TinyML for Acoustic Anomaly Detection in IoT Sensor Networks

Abstract page for arXiv paper 2603.26135: TinyML for Acoustic Anomaly Detection in IoT Sensor Networks

arXiv - Machine Learning · 3 min ·
[2603.26114] DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Prediction
Machine Learning

[2603.26114] DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Prediction

Abstract page for arXiv paper 2603.26114: DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Predi...

arXiv - AI · 4 min ·
[2603.26108] Accurate Precipitation Forecast by Efficiently Learning from Massive Atmospheric Variables and Unbalanced Distribution
Machine Learning

[2603.26108] Accurate Precipitation Forecast by Efficiently Learning from Massive Atmospheric Variables and Unbalanced Distribution

Abstract page for arXiv paper 2603.26108: Accurate Precipitation Forecast by Efficiently Learning from Massive Atmospheric Variables and ...

arXiv - Machine Learning · 4 min ·
[2603.26105] Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
Llms

[2603.26105] Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?

Abstract page for arXiv paper 2603.26105: Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?

arXiv - Machine Learning · 4 min ·
[2603.26097] Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
Machine Learning

[2603.26097] Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer

Abstract page for arXiv paper 2603.26097: Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer

arXiv - AI · 4 min ·
[2603.26096] AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation
Machine Learning

[2603.26096] AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation

Abstract page for arXiv paper 2603.26096: AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation

arXiv - Machine Learning · 3 min ·
[2603.26089] Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind
Llms

[2603.26089] Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind

Abstract page for arXiv paper 2603.26089: Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind

arXiv - AI · 4 min ·
[2603.26045] H-Node Attack and Defense in Large Language Models
Llms

[2603.26045] H-Node Attack and Defense in Large Language Models

Abstract page for arXiv paper 2603.26045: H-Node Attack and Defense in Large Language Models

arXiv - AI · 4 min ·
[2603.25976] Second-Order, First-Class: A Composable Stack for Curvature-Aware Training
Machine Learning

[2603.25976] Second-Order, First-Class: A Composable Stack for Curvature-Aware Training

Abstract page for arXiv paper 2603.25976: Second-Order, First-Class: A Composable Stack for Curvature-Aware Training

arXiv - Machine Learning · 3 min ·
[2603.25956] Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention
Machine Learning

[2603.25956] Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention

Abstract page for arXiv paper 2603.25956: Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention

arXiv - Machine Learning · 3 min ·
[2603.25923] Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework
Machine Learning

[2603.25923] Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework

Abstract page for arXiv paper 2603.25923: Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer...

arXiv - Machine Learning · 4 min ·
[2603.25894] Data-Driven Plasticity Modeling via Acoustic Profiling
Machine Learning

[2603.25894] Data-Driven Plasticity Modeling via Acoustic Profiling

Abstract page for arXiv paper 2603.25894: Data-Driven Plasticity Modeling via Acoustic Profiling

arXiv - Machine Learning · 3 min ·
[2603.25901] Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models
Machine Learning

[2603.25901] Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models

Abstract page for arXiv paper 2603.25901: Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Ba...

arXiv - AI · 4 min ·
[2603.25872] DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease
Machine Learning

[2603.25872] DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease

Abstract page for arXiv paper 2603.25872: DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease

arXiv - Machine Learning · 3 min ·
[2603.25861] Why Safety Probes Catch Liars But Miss Fanatics
Machine Learning

[2603.25861] Why Safety Probes Catch Liars But Miss Fanatics

Abstract page for arXiv paper 2603.25861: Why Safety Probes Catch Liars But Miss Fanatics

arXiv - AI · 3 min ·
[2603.25857] In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts
Llms

[2603.25857] In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts

Abstract page for arXiv paper 2603.25857: In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowle...

arXiv - Machine Learning · 4 min ·
[2603.25839] A Compression Perspective on Simplicity Bias
Machine Learning

[2603.25839] A Compression Perspective on Simplicity Bias

Abstract page for arXiv paper 2603.25839: A Compression Perspective on Simplicity Bias

arXiv - AI · 4 min ·
[2603.25813] MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training
Llms

[2603.25813] MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training

Abstract page for arXiv paper 2603.25813: MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training

arXiv - AI · 3 min ·
[2603.25779] Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
Machine Learning

[2603.25779] Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

Abstract page for arXiv paper 2603.25779: Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Predictio...

arXiv - AI · 4 min ·
Machine Learning

[R] Editing ICML Rebuttal

Hi guys, If I submit my ICML rebuttal now on OpenReview, can I edit it afterwards until the deadline. submitted by /u/isentropiccombustor...

Reddit - Machine Learning · 1 min ·
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