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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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Lessons from the Trenches on Reproducible Evaluation of Language Models
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Lessons from the Trenches on Reproducible Evaluation of Language Models

#machinelearning #ai #beginners #datascience
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5 min read
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
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Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

#machinelearning #ai #beginners #datascience
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4 min read
Not All Language Model Features Are Linear
aimodels-fyi profile

Not All Language Model Features Are Linear

#machinelearning #ai #beginners #datascience
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4 min read
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
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LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

#machinelearning #ai #beginners #datascience
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4 min read
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
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XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection

#machinelearning #ai #beginners #datascience
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4 min read
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
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Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

#machinelearning #ai #beginners #datascience
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3 min read
InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars
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InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars

#machinelearning #ai #beginners #datascience
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4 min read
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
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ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation

#machinelearning #ai #beginners #datascience
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4 min read
VecFusion: Vector Font Generation with Diffusion
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VecFusion: Vector Font Generation with Diffusion

#machinelearning #ai #beginners #datascience
1
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4 min read
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
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Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

#machinelearning #ai #beginners #datascience
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4 min read
Why are Sensitive Functions Hard for Transformers?
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Why are Sensitive Functions Hard for Transformers?

#machinelearning #ai #beginners #datascience
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4 min read
ColorFoil: Investigating Color Blindness in Large Vision and Language Models
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ColorFoil: Investigating Color Blindness in Large Vision and Language Models

#machinelearning #ai #beginners #datascience
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4 min read
From Sparse to Soft Mixtures of Experts
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From Sparse to Soft Mixtures of Experts

#machinelearning #ai #beginners #datascience
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4 min read
Transformers Can Do Arithmetic with the Right Embeddings
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Transformers Can Do Arithmetic with the Right Embeddings

#machinelearning #ai #beginners #datascience
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4 min read
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
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BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

#machinelearning #ai #beginners #datascience
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4 min read
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