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123656
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Spectral
Disentanglement
and Enhancement: A Dual-domain
Contrastive
Framework for Representation Learning
arxiv.org
·
19h
🤖
AI
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
1h
·
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Hacker News
🤖
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Learning on the
Manifold
: Unlocking Standard Diffusion Transformers with Representation
Encoders
arxiv.org
·
19h
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Document
Clustering
with LLM Embeddings in
Scikit-learn
machinelearningmastery.com
·
1d
🔍
Information Retrieval
Wavelet
Meets Adam:
Compressing
Gradients for Memory-Efficient Training
chipublib.idm.oclc.org
·
8h
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Grassmannian
Manifold
Learning: Optimization and Deep Learning Architectures
hackernoon.com
·
9h
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AI
The feature space for
drifting
models
breno.bearblog.dev
·
13h
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A History of Large Language Models
gregorygundersen.com
·
32m
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Information Retrieval
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
11h
·
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AI
Carnegie
Mellon at
NeurIPS
2025
blog.ml.cmu.edu
·
8h
🤖
AI
Show HN: Latent-k –
Persistent
dependency
map to reduce AI coding token usage
latentk.org
·
11h
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GLM
5 is already on
huggingface
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huggingface.co
·
7h
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r/LocalLLaMA
🤖
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Unsupervised Learning on Manifolds:
Spherical
Clustering and
Kuramoto
Ensembles
hackernoon.com
·
1d
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Information Retrieval
Adventures
in Neural
Rendering
interplayoflight.wordpress.com
·
1d
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🤖
AI
N-Grams
and Other
Experiments
dotterrer.bearblog.dev
·
7h
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Information Retrieval
Building a
semantic
search engine in ±250
lines
of Python
bart.degoe.de
·
1d
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Introduction
to
Forward-Error-Correcting
Coding
ntrs.nasa.gov
·
4h
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A Hands-On Introduction to Restricted
Boltzmann
Machines with a Minimal
NumPy
Implementation
github.com
·
11h
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DEV
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Bridging
unpaired
single-cell multimodal data for integrative analyses with
SuperMap
pnas.org
·
11h
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The Geometry of Linear
Equations
and Linear
Regression
pub.towardsai.net
·
1d
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