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🧠 Machine Learning
Neural Networks, Training, Models, Deep Learning
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Machine Learning
Visualized
– Machine Learning
Visualized
🗄️
Vector Databases
ml-visualized.com
·
1d
·
Hacker News
Neural Networks
Explained
In
Plain
English
🔥
PyTorch
blog.algomaster.io
·
4d
Low-Rank
Adaptation
Redux
for Large Models
📐
Optimization Theory
arxiv.org
·
1d
AI Database Landscape in 2026: Vector,
ML-in-DB
, LLM-Augmented,
Predictive
💬
LLMs
aito.ai
·
3d
·
Hacker News
a real, long term use of
ML
and AI that
matters
💬
LLMs
brain-regeneration.com
·
1d
·
Hacker News
AI and
Teaching
✍️
Prompt Engineering
eiexchange.com
·
1d
·
Hacker News
ml-intern
💬
LLMs
producthunt.com
·
3d
massimilianoconcas0-del/Relational
_Loss_ML: A scale-invariant loss function for Deep Learning. Replace Absolute Loss (
MSE
) with Relational Loss to achieve 4000x faster convergence and zero-shot transfer across scales.
🔥
PyTorch
github.com
·
1d
·
Hacker News
Types
and Neural Networks
🧠
LLM
brunogavranovic.com
·
3d
·
Hacker News
Apple Machine Learning Research at
ICLR
2026
💬
LLMs
machinelearning.apple.com
·
3d
·
Hacker News
There Will Be a
Scientific
Theory of Deep Learning
📐
Optimization Theory
arxiv.org
·
1d
·
Hacker News
LAF-Based Evaluation and
UTTL-Based
Learning Strategies with
MIATTs
💬
LLMs
arxiv.org
·
1d
Energy-Based Open-Set Active Learning for
Object
Classification
🔥
PyTorch
arxiv.org
·
2d
Automatic Dataset Construction (
ADC
): Sample Collection, Data
Curation
, and Beyond
🗄️
Vector Databases
arxiv.org
·
4d
Supervised Learning Has a
Necessary
Geometric
Blind Spot: Theory, Consequences, and Minimal Repair
🔥
PyTorch
arxiv.org
·
1d
Improving Performance in Classification Tasks with
LCEN
and the Weighted Focal Differentiable
MCC
Loss
🧠
LLM
arxiv.org
·
1d
DOSE
: Data Selection for Multi-Modal LLMs via
Off-the-Shelf
Models
🔥
PyTorch
arxiv.org
·
4d
On Bayesian
Softmax-Gated
Mixture-of-Experts Models
📐
Optimization Theory
arxiv.org
·
2d
Meta
Additive
Model: Interpretable Sparse Learning With Auto
Weighting
🗜️
Compressed Sensing
arxiv.org
·
2d
Semantic-based Distributed Learning for
Diverse
and
Discriminative
Representations
🤖
Transformers
arxiv.org
·
4d
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