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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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YOLOv10: Real-Time End-to-End Object Detection

YOLOv10: Real-Time End-to-End Object Detection

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3 min read
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

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4 min read
InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars

InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars

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4 min read
VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

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4 min read
The CAP Principle for LLM Serving

The CAP Principle for LLM Serving

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4 min read
Attention as an RNN

Attention as an RNN

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4 min read
Transformers Can Do Arithmetic with the Right Embeddings

Transformers Can Do Arithmetic with the Right Embeddings

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4 min read
Thermodynamic Natural Gradient Descent

Thermodynamic Natural Gradient Descent

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5 min read
Pareto Optimal Learning for Estimating Large Language Model Errors

Pareto Optimal Learning for Estimating Large Language Model Errors

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4 min read
VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

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4 min read
Neuromorphic dreaming: A pathway to efficient learning in artificial agents

Neuromorphic dreaming: A pathway to efficient learning in artificial agents

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4 min read
As an AI Language Model, Yes I Would Recommend Calling the Police'': Norm Inconsistency in LLM Decision-Making

As an AI Language Model, Yes I Would Recommend Calling the Police'': Norm Inconsistency in LLM Decision-Making

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4 min read
Track Anything Rapter(TAR)

Track Anything Rapter(TAR)

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3 min read
Robust Classification via a Single Diffusion Model

Robust Classification via a Single Diffusion Model

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4 min read
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models

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5 min read
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