{"total":14,"rows":[{"id":"2307.14023","title":"Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?","created":"2023-07-26","cited_by_count":47,"area":null},{"id":"2110.03187","title":"On the Optimal Memorization Power of ReLU Neural Networks","created":"2021-10-07","cited_by_count":40,"area":null},{"id":"2306.02010","title":"Memorization Capacity of Multi-Head Attention in Transformers","created":"2023-06-03","cited_by_count":40,"area":null},{"id":"2205.13863","title":"Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power","created":"2022-05-27","cited_by_count":23,"area":null},{"id":"2207.05275","title":"Size and depth of monotone neural networks: interpolation and approximation","created":"2022-07-12","cited_by_count":10,"area":null},{"id":"2210.11049","title":"How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers","created":"2022-10-20","cited_by_count":8,"area":null},{"id":"2410.19092","title":"Provable Tempered Overfitting of Minimal Nets and Typical Nets","created":"2024-10-24","cited_by_count":5,"area":null},{"id":"2302.00834","title":"Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data","created":"2023-02-02","cited_by_count":3,"area":null},{"id":"2303.11247","title":"Memorization Capacity of Neural Networks with Conditional Computation","created":"2023-03-20","cited_by_count":3,"area":null},{"id":"2310.00327","title":"Memorization With Neural Nets: Going Beyond the Worst Case","created":"2023-09-30","cited_by_count":2,"area":null},{"id":"2405.13738","title":"Interpolation with deep neural networks with non-polynomial activations: necessary and sufficient numbers of neurons","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2110.02456","title":"VC dimension of partially quantized neural networks in the overparametrized regime","created":"2021-10-06","cited_by_count":1,"area":null},{"id":"2408.00359","title":"Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2603.09589","title":"Memorization capacity of deep ReLU neural networks characterized by width and depth","created":"2026-03-10","cited_by_count":0,"area":null}],"next_cursor":null}