The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
The paper presents an in-depth analysis of the joint effect of task similarity and overparameterization on catastrophic…
A Reply to Makelov et al. (2023)’s Interpretability Illusion Arguments
The authors respond to Makelov et al.’s recent paper that reviews subspace interchange intervention methods like Distributed…
Binary Feature Mask Optimization for Feature Selection
The article introduces a new framework for feature selection in machine learning models. The approach uses a…
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
This article presents a new method for multiview clustering (MVC) via contrastive learning, called CCEC. MVC is…
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
The article introduces a novel approach to Kriging, a method of estimating attributes of unseen locations based…
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method
The article presents LLpowershap, a novel feature selection method that uses loss-based Shapley values to identify informative…
Energy-based Automated Model Evaluation
The study tackles the issues in Automated Model Evaluation (AutoEval), such as overconfidence and high computational cost….
Deep Neural Network Benchmarks for Selective Classification
The article presents a comprehensive benchmarking of different selective classification frameworks that are based on deep neural…
When Redundancy Matters: Machine Teaching of Representations
The article ‘When Redundancy Matters: Machine Teaching of Representations’ discusses the idea of teaching representations in machine…
Falcon: Fair Active Learning using Multi-armed Bandits
Falcon is a novel framework that aims to address the issue of bias in machine learning models….