Memorization in Deep Neural Networks: Does The Loss Function Matter? | PAKDD 2021

6.03 slides 139-140 Sec.8.4 Loss Aversion Defined 6mins

Understanding Concave and Convex Functions

Perceptron Loss Function | Loss functions in Deep Learning | Hinge Loss | 0-1 loss | With Examples

Natalia Slusarz - PhD progression talk - Properties of loss functions in training neural networks

Logistic Regression Cost Function (C1W2L03)

Derivatives (C1W2L05)

DA2PL'2014 - Surrogate loss functions for preference learning - Krzysztof Dembczynski

Maximizing Your Health: FDN's Comprehensive Approach to Intake

Lalitha Sankar - Alpha-loss: A tunable class of loss functions for robust and fair learning

17 - Convex functions

Introduction to AI: Loss Functions, Optimizers, CNN

Vidya Muthukumar - Overparameterized Classification vs Regression: Does the Loss Function Matter?

Cost of Quality and Taguchi's Loss Function

Loss Minimization through the lens of Outcome Indistinguishability

Omer Reingold - Algorithmic Fairness, Loss Minimization and Outcome Indistinguishability

But what is a neural network? | Chapter 1, Deep learning

Linear vs Logistic Regression; Derivative of their Loss Functions

Understand the Math and Theory of GANs in ~ 10 minutes

Manik Varma: Extreme Multi-label Loss Functions for Tagging, Ranking & Recommendation