
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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Lifelong Spectral Clustering
In the past decades, spectral clustering (SC) has become one of the most...
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What Will Your Child Look Like? DNANet: Age and Gender Aware Kin Face Synthesizer
Visual kinship recognition aims to identify blood relatives from facial ...
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Embedding Compression with Isotropic Iterative Quantization
Continuous representation of words is a standard component in deep learn...
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Towards QueryEfficient BlackBox Adversary with ZerothOrder Natural Gradient Descent
Despite the great achievements of the modern deep neural networks (DNNs)...
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Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework
Reinforcement learning (RL) has emerged as a standard approach for build...
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Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach
A deep neural network (DNN) that can reliably model muscle responses fro...
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Zooming SlowMo: Fast and Accurate OneStage SpaceTime Video SuperResolution
In this paper, we explore the spacetime video superresolution task, wh...
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Achieving RealTime Execution of 3D Convolutional Neural Networks on Mobile Devices
Mobile devices are becoming an important carrier for deep learning tasks...
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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
The stateofart DNN structures involve intensive computation and high m...
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An Image Enhancing Patternbased Sparsity for Realtime Inference on Mobile Devices
Weight pruning has been widely acknowledged as a straightforward and eff...
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Revisiting Light Field Rendering with Deep AntiAliasing Neural Network
The light field (LF) reconstruction is mainly confronted with two challe...
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Progressive DNN Compression: A Key to Achieve UltraHigh Weight Pruning and Quantization Rates using ADMM
Weight pruning and weight quantization are two important categories of D...
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Physics informed deep learning for computational elastodynamics without labeled data
Numerical methods such as finite element have been flourishing in the pa...
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Learning Disentangled Representations of Video with Missing Data
Missing data poses significant challenges while learning representations...
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PatDNN: Achieving RealTime DNN Execution on Mobile Devices with Patternbased Weight Pruning
With the emergence of a spectrum of highend mobile devices, many applic...
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Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line se...
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Breast Cancer Classification with Ultrasound Images Based on SLIC
Ultrasound image diagnosis of breast tumors has been widely used in rece...
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FedCoin: A PeertoPeer Payment System for Federated Learning
Federated learning (FL) is an emerging collaborative machine learning me...
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Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
Recent advances in the field of artificial intelligence have been made p...
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PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Realtime Execution on Mobile Devices
Model compression techniques on Deep Neural Network (DNN) have been wide...
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ADMMNN: An AlgorithmHardware CoDesign Framework of DNNs Using Alternating Direction Method of Multipliers
To facilitate efficient embedded and hardware implementations of deep ne...
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Collaborative Distillation for UltraResolution Universal Style Transfer
Universal style transfer methods typically leverage rich representations...
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EAOSLAM: Monocular SemiDense Object SLAM Based on Ensemble Data Association
Objectlevel data association and pose estimation play a fundamental rol...
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Deep learning of physical laws from scarce data
Harnessing data to discover the underlying governing laws or equations t...
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HyperSTAR: TaskAware Hyperparameters for Deep Networks
While deep neural networks excel in solving visual recognition tasks, th...
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Visual Font Pairing
This paper introduces the problem of automatic font pairing. Font pairin...
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An UltraEfficient MemristorBased DNN Framework with Structured Weight Pruning and Quantization Using ADMM
The high computation and memory storage of large deep neural networks (D...
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Towards Physicsinformed Deep Learning for Turbulent Flow Prediction
While deep learning has shown tremendous success in a wide range of doma...
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GLBM:Generative Lowdimensional Background Model Estimation from Video Sequences
In this paper, we propose a computationally tractable and theoretically ...
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BLKREW: A Unified Blockbased DNN Pruning Framework using Reweighted Regularization Method
Accelerating DNN execution on various resourcelimited computing platfor...
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Topological Effects on Attacks Against Vertex Classification
Vertex classification is vulnerable to perturbations of both graph topol...
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Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Mode connectivity provides novel geometric insights on analyzing loss la...
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Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
Systems that are based on recursive Bayesian updates for classification ...
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Hallucinating very lowresolution and obscured face images
Most of the face hallucination methods are often designed for complete i...
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Representative Task Selfselection for Flexible Clustered Lifelong Learning
Consider the lifelong learning paradigm whose objective is to learn a se...
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On the Design of Blackbox Adversarial Examples by Leveraging Gradientfree Optimization and Operator Splitting Method
Robust machine learning is currently one of the most prominent topics wh...
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Automated Relational Metalearning
In order to efficiently learn with small amount of data on new tasks, me...
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Removing Dynamic Objects for Static Scene Reconstruction using Light Fields
There is a general expectation that robots should operate in environment...
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A Complex KBQA System using Multiple Reasoning Paths
Multihop knowledge based question answering (KBQA) is a complex task fo...
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Neural Topographic Factor Analysis for fMRI Data
Neuroimaging experiments produce a large volume (gigabytes) of highdime...
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Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
Generative models, such as GANs, learn an explicit lowdimensional repre...
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How transferable are the datasets collected by active learners?
Active learning is a widelyused training strategy for maximizing predic...
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Support Neighbor Loss for Person ReIdentification
Person reidentification (reID) has recently been tremendously boosted ...
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Structured MultiLabel Biomedical Text Tagging via Attentive Neural Tree Decoding
We propose a model for tagging unstructured texts with an arbitrary numb...
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Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Graph neural networks (GNNs) which apply the deep neural networks to gra...
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Nonstructured DNN Weight Pruning Considered Harmful
Large deep neural network (DNN) models pose the key challenge to energy ...
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Learnable Subspace Clustering
This paper studies the largescale subspace clustering (LSSC) problem wi...
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Inference Trees: Adaptive Inference with Exploration
We introduce inference trees (ITs), a new class of inference methods tha...
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Adapting control policies from simulation to reality using a pairwise loss
This paper proposes an approach to domain transfer based on a pairwise l...
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Northeastern University
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