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02/08/2023
Convolutional Neural Networks Trained to Identify Words Provide a Good Account of Visual Form Priming Effects
A wide variety of orthographic coding schemes and models of visual word ...
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01/29/2023
Sample Efficient Deep Reinforcement Learning via Local Planning
The focus of this work is sample-efficient deep reinforcement learning (...
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02/01/2022
Architecture Matters in Continual Learning
A large body of research in continual learning is devoted to overcoming ...
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09/24/2021
MORSE-STF: A Privacy Preserving Computation System
Privacy-preserving machine learning has become a popular area of researc...
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08/12/2021
Efficient Local Planning with Linear Function Approximation
We study query and computationally efficient planning algorithms with li...
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07/23/2021
A Realistic Simulation Framework for Learning with Label Noise
We propose a simulation framework for generating realistic instance-depe...
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03/17/2021
Revisiting the Loss Weight Adjustment in Object Detection
By definition, object detection requires a multi-task loss in order to s...
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02/25/2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In this work, we study algorithms for learning in infinite-horizon undis...
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10/06/2020
The Effectiveness of Memory Replay in Large Scale Continual Learning
We study continual learning in the large scale setting where tasks in th...
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06/19/2020
SOLA: Continual Learning with Second-Order Loss Approximation
Neural networks have achieved remarkable success in many cognitive tasks...
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06/17/2020
A maximum-entropy approach to off-policy evaluation in average-reward MDPs
This work focuses on off-policy evaluation (OPE) with function approxima...
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06/07/2020
An Efficient Framework for Clustered Federated Learning
We address the problem of Federated Learning (FL) where users are distri...
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12/13/2019
Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture
UAV swarms have triggered wide concern due to their potential applicatio...
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07/18/2019
A Strong Feature Representation for Siamese Network Tracker
Object tracking has important application in assistive technologies for ...
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06/21/2019
A Fourier Perspective on Model Robustness in Computer Vision
Achieving robustness to distributional shift is a longstanding and chall...
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06/16/2019
Robust Federated Learning in a Heterogeneous Environment
We study a recently proposed large-scale distributed learning paradigm, ...
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06/06/2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Deploying machine learning systems in the real world requires both high ...
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10/29/2018
Rademacher Complexity for Adversarially Robust Generalization
Many machine learning models are vulnerable to adversarial attacks. It h...
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06/14/2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
In this paper, we study robust large-scale distributed learning in the p...
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03/08/2018
A framework with updateable joint images re-ranking for Person Re-identification
Person re-identification plays an important role in realistic video surv...
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03/05/2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
In large-scale distributed learning, security issues have become increas...
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02/14/2018
Online Learning for Non-Stationary A/B Tests
The rollout of new versions of a feature in modern applications is a man...
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05/26/2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Recurrent neural networks (RNNs) have drawn interest from machine learni...
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11/28/2015