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05/28/2023
A Three-regime Model of Network Pruning
Recent work has highlighted the complex influence training hyperparamete...
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05/21/2023
When are ensembles really effective?
Ensembling has a long history in statistical data analysis, with many im...
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06/12/2022
Neurotoxin: Durable Backdoors in Federated Learning
Due to their decentralized nature, federated learning (FL) systems have ...
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02/06/2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
The search for effective and robust generalization metrics has been the ...
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12/08/2021
The Effect of Model Size on Worst-Group Generalization
Overparameterization is shown to result in poor test accuracy on rare su...
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11/30/2021
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks
Neural networks (NN) for single-view 3D reconstruction (SVR) have gained...
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11/05/2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws Towards Better Practices
Graph classification has applications in bioinformatics, social sciences...
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07/23/2021
Taxonomizing local versus global structure in neural network loss landscapes
Viewing neural network models in terms of their loss landscapes has a lo...
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04/27/2021
Contrastive Spatial Reasoning on Multi-View Line Drawings
Spatial reasoning on multi-view line drawings by state-of-the-art superv...
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02/12/2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Most graph neural networks (GNN) perform poorly in graphs where neighbor...
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08/26/2020
Benchmarking Semi-supervised Federated Learning
Federated learning promises to use the computational power of edge devic...
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07/09/2020
Boundary thickness and robustness in learning models
Robustness of machine learning models to various adversarial and non-adv...
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01/21/2020
Serverless Straggler Mitigation using Local Error-Correcting Codes
Inexpensive cloud services, such as serverless computing, are often vuln...
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05/11/2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
We propose a deep autoencoder with graph topology inference and filterin...
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12/16/2018
Coded Elastic Computing
Cloud providers have recently introduced low-priority machines to reduce...
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11/28/2018
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation
We propose a novel application of coded computing to the problem of the ...
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06/15/2018
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver
We propose a novel distributed iterative linear inverse solver method. O...
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05/15/2018
Coded Iterative Computing using Substitute Decoding
In this paper, we propose a new coded computing technique called "substi...
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12/19/2017
FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds
Recent deep networks that directly handle points in a point set, e.g., P...
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12/19/2017