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馃 Machine Learning
ML, neural networks, deep learning, model training
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186269
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A Systematic Approach Toward Implementing Machine Learning Techniques to
Analyze
Gut
Microbiome
Data
聽
馃搻
ML Theory
biorxiv.org
路
3d
GraphSAGE
vs
GAT
: Reddit/PPI Inductive Learning 95% F1
聽
馃攳
RAG
tildalice.io
路
2d
How to build custom reasoning agents with a
fraction
of the
compute
聽
馃挰
LLMs
venturebeat.com
路
2d
There Will Be a
Scientific
Theory of Deep Learning
聽
馃搻
ML Theory
news.ycombinator.com
路
5d
路
Hacker News
The
Sequence
AI of the Week #851:
DeepSeek-V4
and the Architecture of Million-Token Intelligence
聽
馃
AI
substackcdn.com
路
1d
路
Substack
How the Next Generation of AI Models are Going to
Completely
Change AI
Inference
聽
馃
AI Agents
artificialintelligencemadesimple.com
路
1d
What I learned
asking
11 AI models to
grade
each other's AI predictions
聽
馃
AI Agents
shimin.io
路
6d
路
Hacker News
Advancing AI for
multi-omics
and clinical data integration in basic and
translational
cancer research
聽
馃搻
ML Theory
nature.com
路
5d
Unveiling
the Hidden Structure of Self-Attention via Kernel
Principal
Component Analysis
聽
馃
Neural Networks
proceedings.neurips.cc
路
6d
Monitoring LLM behavior: Drift,
retries
, and
refusal
patterns
聽
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AI Agents
venturebeat.com
路
6d
路
Hacker News
Hot Research
Topics
in AI and ML in 2026 and Their
Philosophical
Connections
聽
馃
AI
omseeth.github.io
路
5d
路
Hacker News
SAEBER
: Sparse
Autoencoders
for Biological Entity Risk
聽
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RAG
lesswrong.com
路
2d
google-deepmind/proeval
:
Proactive
failure discovery and efficient performance estimation for GenAI evaluation.
聽
馃挰
LLMs
github.com
路
1d
Protein Function Prediction with
Pretrained
ProtT5
Embeddings and Gradient Boosting
聽
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Neural Networks
biorxiv.org
路
1d
Model-agnostic
information transfer and fusion for classification with
label
noise
聽
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ML Theory
arxiv.org
路
2d
Toward intelligent and resilient
microgrids
: A survey of machine learning approaches for
renewable
energy integration
聽
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ML Theory
sciencedirect.com
路
5d
In context learning foundation models for
materials
property prediction with small
datasets
聽
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ML Theory
nature.com
路
6d
Computation in
Superposition
: Two
Handcrafted
Models
聽
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Neural Networks
lesswrong.com
路
1d
VAE-Inf
: A
statistically
interpretable generative paradigm for imbalanced classification
聽
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ML Theory
arxiv.org
路
2d
demirbey05/x-master-curriculum
: Self Learning Master
Curriculum
for AI
聽
馃
AI
github.com
路
4d
路
Hacker News
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