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02/13/2023
Precise Asymptotic Analysis of Deep Random Feature Models
We provide exact asymptotic expressions for the performance of regressio...
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11/28/2022
FsaNet: Frequency Self-attention for Semantic Segmentation
Considering the spectral properties of images, we propose a new self-att...
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10/06/2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization
We consider a generic decentralized constrained optimization problem ove...
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10/02/2022
Fast OT for Latent Domain Adaptation
In this paper, we address the problem of unsupervised Domain Adaptation....
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04/06/2022
Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization
We prove rigorous results on the double descent phenomenon in random fea...
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06/21/2021
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
In this paper, we consider the convex, finite-sum minimization problem w...
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06/18/2020
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a...
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03/30/2020
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime
Knowledge distillation (KD), i.e. one classifier being trained on the ou...
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09/23/2019
Community Detection and Improved Detectability in Multiplex Networks
We investigate the widely encountered problem of detecting communities i...
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09/13/2019
Deep Adversarial Belief Networks
We present a novel adversarial framework for training deep belief networ...
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08/20/2019
Sparse Generative Adversarial Network
We propose a new approach to Generative Adversarial Networks (GANs) to a...
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06/13/2019
Joint Concept Matching based Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) which aims to recognize unseen object classes b...
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06/13/2019
Joint Concept Matching-Space Projection Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has been widely researched and achieved a great...
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03/09/2019
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer
We introduce a new regularizer for optimal transport (OT) which is tailo...
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03/07/2019
Analysis Dictionary Learning: An Efficient and Discriminative Solution
Discriminative Dictionary Learning (DL) methods have been widely advocat...
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07/13/2018
Analysis Dictionary Learning based Classification: Structure for Robustness
A discriminative structured analysis dictionary is proposed for the clas...
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05/02/2018
Structured Analysis Dictionary Learning for Image Classification
We propose a computationally efficient and high-performance classificati...
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03/22/2018
Demystifying Deep Learning: A Geometric Approach to Iterative Projections
Parametric approaches to Learning, such as deep learning (DL), are highl...
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03/11/2018
