Machine Learning

Nearly Optimal Sample Complexity for Learning with Label Proportions
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Claudio Gentile
0 views
Scalable Chain of Thoughts via Elastic Reasoning
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librarian
0 views
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian
  Geometry Finds It
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Marvin da Silva
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ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge
  Distillation via $α$-$β$-Divergence
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Zhiyong Yang
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Testing Juntas Optimally with Samples
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librarian
3 views
Automating the Discovery of Partial Differential Equations in Dynamical
  Systems
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rui-carvalho
18 views
Automatically identifying ordinary differential equations from data
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rui-carvalho
18 views
Large Language Models Are Human-Level Prompt Engineers
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Nicolas Borensztein
57 views
Multi-typed Objects Multi-view Multi-instance Multi-label Learning
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Hadil Otay
107 views
Deep Learning Statistical Arbitrage
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zulee1711
378 views
Network Deconvolution

Network Deconvolution

Machine Learning
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thurst
221 views
Transformer Dissection: A Unified Understanding of Transformer's
  Attention via the Lens of Kernel
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ScienceCast Board
194 views
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A
  New Zealand's study
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Arwa Alnajashi
224 views
Backprop Diffusion is Biologically Plausible
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Isaak Bruno
519 views
Adaptive Attention Span in Transformers
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ScienceCast Board
194 views
Regression with Linear Factored Functions
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evgenii-klebanov
216 views
Is Attention All What You Need? -- An Empirical Investigation on
  Convolution-Based Active Memory and Self-Attention
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legendblackguardian
208 views
Deep Learning of Representations: Looking Forward
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Isaak Bruno
184 views
Attention that does not Explain Away
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levymoshe16
198 views
Neural Networks Regularization Through Class-wise Invariant
  Representation Learning
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sysbit-technology
183 views