Cut your Losses with Squentropy

8 February 2023

Papers citing "Cut your Losses with Squentropy"

5 / 5 papers shown

Title
Focus on the Likely: Test-time Instance-based Uncertainty Removal Johannes Schneider 35 0 0 02 May 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization Md Yousuf Harun Christopher Kanan AI4CE 50 0 0 09 Mar 2025
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 40 2 0 24 Apr 2024
Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils of Overfitting Nathaniel R. Dean Dilip Sarkar AAML 20 0 0 10 Apr 2024
Accelerated Neural Network Training with Rooted Logistic Objectives Zhu Wang Praveen Raj Veluswami Harshit Mishra Sathya Ravi 30 0 0 05 Oct 2023