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View article: MatFormer: Nested Transformer for Elastic Inference
MatFormer: Nested Transformer for Elastic Inference Open
Foundation models are applied in a broad spectrum of settings with different inference constraints, from massive multi-accelerator clusters to resource-constrained standalone mobile devices. However, the substantial costs associated with t…
View article: Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing Open
Pruning schemes have been widely used in practice to reduce the complexity of trained models with a massive number of parameters. In fact, several practical studies have shown that if a pruned model is fine-tuned with some gradient-based u…
View article: Voting based ensemble improves robustness of defensive models
Voting based ensemble improves robustness of defensive models Open
Developing robust models against adversarial perturbations has been an active area of research and many algorithms have been proposed to train individual robust models. Taking these pretrained robust models, we aim to study whether it is p…
View article: Robust Correlation Clustering
Robust Correlation Clustering Open
In this paper, we introduce and study the Robust-Correlation-Clustering problem: given a graph G = (V,E) where every edge is either labeled + or - (denoting similar or dissimilar pairs of vertices), and a parameter m, the goal is to delete…