Loss Landscapes

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Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape

馃Machine LearningContent type: Academic
arxiv.org
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Human-Like Neural Nets by Catapulting

馃LLM
gwern.netHacker News

Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?

馃搻Optimization TheoryContent type: Academic
arxiv.org

A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks

馃寑Riemannian OptimizationContent type: Academic
arxiv.org

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

馃搻Optimization TheoryContent type: Academic
arxiv.org

Explaining Data Mixing Scaling Laws

馃搻Optimization TheoryContent type: Academic
arxiv.org

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability

馃搻Linear AlgebraContent type: Academic
arxiv.org

Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting

馃摗Information TheoryContent type: Academic
arxiv.org

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