Machine Learning

ML algorithms, training, and inference

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Llms

[P] I built an autonomous ML agent that runs experiments on tabular data indefinitely - inspired by Karpathy's AutoResearch

Inspired by Andrej Karpathy's AutoResearch, I built a system where Claude Code acts as an autonomous ML researcher on tabular binary clas...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] Data curation and targeted replacement as a pre-training alignment and controllability method

Hi, r/MachineLearning: has much research been done in large-scale training scenarios where undesirable data has been replaced before trai...

Reddit - Machine Learning · 1 min ·
Llms

[R] BraiNN: An Experimental Neural Architecture with Working Memory, Relational Reasoning, and Adaptive Learning

BraiNN An Experimental Neural Architecture with Working Memory, Relational Reasoning, and Adaptive Learning BraiNN is a compact research‑...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
Llms

[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

Abstract page for arXiv paper 2603.25498: EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

arXiv - AI · 3 min ·
[2603.24780] Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
Llms

[2603.24780] Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

Abstract page for arXiv paper 2603.24780: Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

arXiv - Machine Learning · 4 min ·
[2603.25480] Retraining as Approximate Bayesian Inference
Machine Learning

[2603.25480] Retraining as Approximate Bayesian Inference

Abstract page for arXiv paper 2603.25480: Retraining as Approximate Bayesian Inference

arXiv - AI · 3 min ·
[2603.24753] Light Cones For Vision: Simple Causal Priors For Visual Hierarchy
Machine Learning

[2603.24753] Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

Abstract page for arXiv paper 2603.24753: Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

arXiv - Machine Learning · 3 min ·
[2603.25450] Cross-Model Disagreement as a Label-Free Correctness Signal
Llms

[2603.25450] Cross-Model Disagreement as a Label-Free Correctness Signal

Abstract page for arXiv paper 2603.25450: Cross-Model Disagreement as a Label-Free Correctness Signal

arXiv - AI · 4 min ·
[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data
Machine Learning

[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

Abstract page for arXiv paper 2603.24744: Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

arXiv - Machine Learning · 4 min ·
[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
Llms

[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Abstract page for arXiv paper 2603.25412: Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

arXiv - AI · 4 min ·
[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
Machine Learning

[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting

Abstract page for arXiv paper 2603.25379: Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study...

arXiv - AI · 4 min ·
[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
Llms

[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards

Abstract page for arXiv paper 2603.24709: Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated R...

arXiv - Machine Learning · 4 min ·
[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
Machine Learning

[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

Abstract page for arXiv paper 2603.25356: 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

arXiv - AI · 4 min ·
[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping
Machine Learning

[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping

Abstract page for arXiv paper 2603.24695: Amplified Patch-Level Differential Privacy for Free via Random Cropping

arXiv - Machine Learning · 4 min ·
[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
Machine Learning

[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

Abstract page for arXiv paper 2603.25334: Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous ...

arXiv - Machine Learning · 4 min ·
[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
Machine Learning

[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Abstract page for arXiv paper 2603.24648: Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things...

arXiv - Machine Learning · 4 min ·
[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
Machine Learning

[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Abstract page for arXiv paper 2603.24641: Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
Machine Learning

[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles

Abstract page for arXiv paper 2603.25328: Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automa...

arXiv - AI · 4 min ·
[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
Llms

[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

Abstract page for arXiv paper 2603.24647: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

arXiv - Machine Learning · 4 min ·
[2603.25326] Evaluating Language Models for Harmful Manipulation
Llms

[2603.25326] Evaluating Language Models for Harmful Manipulation

Abstract page for arXiv paper 2603.25326: Evaluating Language Models for Harmful Manipulation

arXiv - AI · 4 min ·
[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
Machine Learning

[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions

Abstract page for arXiv paper 2603.24644: Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Col...

arXiv - Machine Learning · 4 min ·
[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents
Llms

[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents

Abstract page for arXiv paper 2603.24639: Experiential Reflective Learning for Self-Improving LLM Agents

arXiv - AI · 3 min ·
[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs
Llms

[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs

Abstract page for arXiv paper 2603.25284: SliderQuant: Accurate Post-Training Quantization for LLMs

arXiv - AI · 4 min ·
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