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FineWeb: decanting the web for the finest text data at scale
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Generate high-quality text data for LLMs using FineWeb
Thomas Serre
tserre
AI & ML interests
vision, NeuroAI, computational neuroscience, explainability
Recent Activity
liked
a Space
2 days ago
HuggingFaceFW/blogpost-fineweb-v1
liked
a Space
15 days ago
lerobot/robot-learning-tutorial
Organizations
liked
a
Space
2 days ago
liked
a
Space
15 days ago
authored
7
papers
16 days ago
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
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2009.04521
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Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
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2306.06805
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A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
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2306.07304
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Published
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
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2111.04138
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Published
Xplique: A Deep Learning Explainability Toolbox
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2206.04394
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Harmonizing the object recognition strategies of deep neural networks with humans
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2211.04533
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Published
The 3D-PC: a benchmark for visual perspective taking in humans and machines
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2406.04138
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authored
4
papers
over 1 year ago
Understanding Visual Feature Reliance through the Lens of Complexity
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2407.06076
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7
CRAFT: Concept Recursive Activation FacTorization for Explainability
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2211.10154
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Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis
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2202.07728
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Published
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs
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2311.11988
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1
authored
a
paper
over 2 years ago