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🧠 Machine Learning
ML, neural networks, deep learning, model training
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186583
posts in
28.0
ms
A Systematic Approach Toward Implementing Machine Learning Techniques to
Analyze
Gut
Microbiome
Data
🎛️
Feed Filtering
biorxiv.org
·
3d
AI
hallucinations
,
bias
and data leaks: Expanding LLM risk landscape
🇨🇳
Chinese AI
devdiscourse.com
·
2d
Adaptive
Thinking
: Large Language Models Know When to Think in
Latent
Space
🤖
LLM
machinelearning.apple.com
·
2d
DB-KSVD
: Scalable
Alternating
Optimization for Disentangling High-Dimensional Embedding Spaces
⚗️
Knowledge Distillation
arxiv.org
·
21h
The Most Complete Guide to
PyTorch
for Data Scientists
⚡
Edge AI
mlwhiz.com
·
4d
A
Primer
on LLM Post-Training
🤖
LLM
pytorch.org
·
2d
·
Hacker News
Boosting algorithm framework for ensemble neural networks based on
coordinate
descent
⭐
Content Scoring
sciencedirect.com
·
5d
facebookresearch/sapiens2
: [ICLR 26] 1K resolution vision transformers pretrained on 1B human images.
⚡
Edge AI
github.com
·
2d
Multiple
Additive
Neural Networks for Structured and
Unstructured
Data
✨
LLMs
arxiv.org
·
21h
There Will Be a
Scientific
Theory of Deep Learning
⚡
Edge AI
news.ycombinator.com
·
5d
·
Hacker News
SAEBER
: Sparse
Autoencoders
for Biological Entity Risk
🔍
AI Interpretability
lesswrong.com
·
2d
AsishKumarDalal/memoryllm
: using
differntiable
neural computer architecture with GPT2 to provide memory
🤖
LLM
github.com
·
5d
·
DEV
Structural
Generalization
on
SLOG
without Hand-Written Rules
✨
LLMs
arxiv.org
·
21h
Which one is more important: more
parameters
or more
computation
? (2021)
💭
Reasoning Models
parl.ai
·
6d
·
Hacker News
High-Dimensional Noise to Low-Dimensional
Manifolds
: A Manifold-Space Diffusion Framework for
Degraded
Hyperspectral Image Classification
🎯
Recommendation Algorithms
arxiv.org
·
21h
microsoft/onnxruntime
: ONNX Runtime: cross-platform, high performance ML
inferencing
and training accelerator
⚙️
MLOps
github.com
·
6d
Protein Function Prediction with
Pretrained
ProtT5
Embeddings and Gradient Boosting
⚙️
MLOps
biorxiv.org
·
1d
What I learned
asking
11 AI models to
grade
each other's AI predictions
🛡️
AI Security
shimin.io
·
6d
·
Hacker News
RaMP: Runtime-Aware
Megakernel
Polymorphism
for Mixture-of-Experts
📱
Edge AI Optimization
arxiv.org
·
21h
Advancing AI for
multi-omics
and clinical data integration in basic and
translational
cancer research
⚙️
MLOps
nature.com
·
5d
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