| Title | Implicit dynamic regularization in deep networks |
| Publication Type | CBMM Memos |
| Year of Publication | 2020 |
| Authors | Poggio, TA, Liao, Q |
| Date Published | 08/2020 |
| Abstract | Square loss has been observed to perform well in classification tasks, at least as well as crossentropy. However, a theoretical justification is lacking. Here we develop a theoretical analysis for the square loss that complements the existing asymptotic analysis for the exponential loss. |
| DSpace@MIT |
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TPR_ver2.pdf Substantial edits Edits that are extensive but minor in content Extending theory, setting a post Fine tuning Corrections in Appendix about Neural Collapse Small edits clarifying role of weight decay Added: prove NC for multiclass+theorem on connected global minima
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112 TPR_ver2.pdf Substantial edits Edits that are extensive but minor in content Extending theory, setting a post Fine tuning Corrections in Appendix about Neural Collapse Small edits clarifying role of weight decay Added: prove NC for multiclass+theorem on connected global minima Associated Module:
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