Northeastern University

∙ SHENYANG , China ∙ 0 followers

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Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...
11/18/2019 ∙ by Wenqian Liu, et al. ∙ 84 ∙ share

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Lifelong Spectral Clustering

In the past decades, spectral clustering (SC) has become one of the most...
11/27/2019 ∙ by Gan Sun, et al. ∙ 40 ∙ share

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What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer

Visual kinship recognition aims to identify blood relatives from facial ...
11/16/2019 ∙ by Pengyu Gao, et al. ∙ 37 ∙ share

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Embedding Compression with Isotropic Iterative Quantization

Continuous representation of words is a standard component in deep learn...
01/11/2020 ∙ by Siyu Liao, et al. ∙ 36 ∙ share

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Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent

Despite the great achievements of the modern deep neural networks (DNNs)...
02/18/2020 ∙ by Pu Zhao, et al. ∙ 25 ∙ share

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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...
02/27/2020 ∙ by Ngoc Duy Nguyen, et al. ∙ 24 ∙ share

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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...
02/14/2020 ∙ by Md Navid Akbar, et al. ∙ 23 ∙ share

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Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

In this paper, we explore the space-time video super-resolution task, wh...
02/26/2020 ∙ by Xiaoyu Xiang, et al. ∙ 20 ∙ share

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The state-of-art DNN structures involve intensive computation and high m...
08/27/2019 ∙ by Xiaolong Ma, et al. ∙ 19 ∙ share

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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

Weight pruning has been widely acknowledged as a straightforward and eff...
01/20/2020 ∙ by Xiaolong Ma, et al. ∙ 18 ∙ share

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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM

Weight pruning and weight quantization are two important categories of D...
03/23/2019 ∙ by Shaokai Ye, et al. ∙ 16 ∙ share

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PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

With the emergence of a spectrum of high-end mobile devices, many applic...
01/01/2020 ∙ by Wei Niu, et al. ∙ 15 ∙ share

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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...
01/08/2019 ∙ by Xiaohu Lu, et al. ∙ 14 ∙ share

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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...
04/25/2019 ∙ by Zhihao Fang, et al. ∙ 14 ∙ share

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FedCoin: A Peer-to-Peer Payment System for Federated Learning

Federated learning (FL) is an emerging collaborative machine learning me...
02/26/2020 ∙ by Yuan Liu, et al. ∙ 13 ∙ share

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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...
02/12/2020 ∙ by Mohammad Saeed Abrishami, et al. ∙ 12 ∙ share

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PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

Model compression techniques on Deep Neural Network (DNN) have been wide...
09/06/2019 ∙ by Xiaolong Ma, et al. ∙ 11 ∙ share

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ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers

To facilitate efficient embedded and hardware implementations of deep ne...
12/31/2018 ∙ by Ao Ren, et al. ∙ 10 ∙ share

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Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Universal style transfer methods typically leverage rich representations...
03/18/2020 ∙ by Huan Wang, et al. ∙ 9 ∙ share

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EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

Object-level data association and pose estimation play a fundamental rol...
04/27/2020 ∙ by Yanmin Wu, et al. ∙ 9 ∙ share

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Deep learning of physical laws from scarce data

Harnessing data to discover the underlying governing laws or equations t...
05/05/2020 ∙ by Zhao Chen, et al. ∙ 9 ∙ share

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HyperSTAR: Task-Aware Hyperparameters for Deep Networks

While deep neural networks excel in solving visual recognition tasks, th...
05/21/2020 ∙ by Gaurav Mittal, et al. ∙ 9 ∙ share

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Visual Font Pairing

This paper introduces the problem of automatic font pairing. Font pairin...
11/19/2018 ∙ by Shuhui Jiang, et al. ∙ 8 ∙ share

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An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM

The high computation and memory storage of large deep neural networks (D...
08/29/2019 ∙ by Geng Yuan, et al. ∙ 8 ∙ share

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Towards Physics-informed Deep Learning for Turbulent Flow Prediction

While deep learning has shown tremendous success in a wide range of doma...
11/20/2019 ∙ by Rui Wang, et al. ∙ 8 ∙ share

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G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences

In this paper, we propose a computationally tractable and theoretically ...
03/16/2020 ∙ by Behnaz Rezaei, et al. ∙ 8 ∙ share

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BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method

Accelerating DNN execution on various resource-limited computing platfor...
01/23/2020 ∙ by Xiaolong Ma, et al. ∙ 7 ∙ share

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Topological Effects on Attacks Against Vertex Classification

Vertex classification is vulnerable to perturbations of both graph topol...
03/12/2020 ∙ by Benjamin A. Miller, et al. ∙ 7 ∙ share

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Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Mode connectivity provides novel geometric insights on analyzing loss la...
04/30/2020 ∙ by Pu Zhao, et al. ∙ 7 ∙ share

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A Complex KBQA System using Multiple Reasoning Paths

Multi-hop knowledge based question answering (KBQA) is a complex task fo...
05/22/2020 ∙ by Kechen Qin, et al. ∙ 7 ∙ share

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Hallucinating very low-resolution and obscured face images

Most of the face hallucination methods are often designed for complete i...
11/12/2018 ∙ by Lianping Yang, et al. ∙ 6 ∙ share

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Representative Task Self-selection for Flexible Clustered Lifelong Learning

Consider the lifelong learning paradigm whose objective is to learn a se...
03/06/2019 ∙ by Gan Sun, et al. ∙ 6 ∙ share

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On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method

Robust machine learning is currently one of the most prominent topics wh...
07/26/2019 ∙ by Pu Zhao, et al. ∙ 6 ∙ share

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Automated Relational Meta-learning

In order to efficiently learn with small amount of data on new tasks, me...
01/03/2020 ∙ by Huaxiu Yao, et al. ∙ 6 ∙ share

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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...
03/24/2020 ∙ by Pushyami Kaveti, et al. ∙ 6 ∙ share

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Neural Topographic Factor Analysis for fMRI Data

Neuroimaging experiments produce a large volume (gigabytes) of high-dime...
06/21/2019 ∙ by Eli Sennesh, et al. ∙ 5 ∙ share

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Reducing the Representation Error of GAN Image Priors Using the Deep Decoder

Generative models, such as GANs, learn an explicit low-dimensional repre...
01/23/2020 ∙ by Max Daniels, et al. ∙ 5 ∙ share

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How transferable are the datasets collected by active learners?

Active learning is a widely-used training strategy for maximizing predic...
07/12/2018 ∙ by David Lowell, et al. ∙ 4 ∙ share

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Support Neighbor Loss for Person Re-Identification

Person re-identification (re-ID) has recently been tremendously boosted ...
08/18/2018 ∙ by Kai Li, et al. ∙ 4 ∙ share

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Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding

We propose a model for tagging unstructured texts with an arbitrary numb...
10/02/2018 ∙ by Gaurav Singh, et al. ∙ 4 ∙ share

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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...
06/10/2019 ∙ by Kaidi Xu, et al. ∙ 4 ∙ share

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Non-structured DNN Weight Pruning Considered Harmful

Large deep neural network (DNN) models pose the key challenge to energy ...
07/03/2019 ∙ by Yanzhi Wang, et al. ∙ 3 ∙ share

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Learnable Subspace Clustering

This paper studies the large-scale subspace clustering (LSSC) problem wi...
04/09/2020 ∙ by Jun Li, et al. ∙ 3 ∙ share

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Inference Trees: Adaptive Inference with Exploration

We introduce inference trees (ITs), a new class of inference methods tha...
06/25/2018 ∙ by Tom Rainforth, et al. ∙ 2 ∙ share

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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...
07/27/2018 ∙ by Ulrich Viereck, et al. ∙ 2 ∙ share

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An Introduction to Probabilistic Programming

This document is designed to be a first-year graduate-level introduction...
09/27/2018 ∙ by Jan-Willem van de Meent, et al. ∙ 2 ∙ share

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Composing Modeling and Inference Operations with Probabilistic Program Combinators

Probabilistic programs with dynamic computation graphs can define measur...
11/14/2018 ∙ by Eli Sennesh, et al. ∙ 2 ∙ share

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AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...
07/06/2019 ∙ by Ning Liu, et al. ∙ 2 ∙ share

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Learning to Faithfully Rationalize by Construction

In many settings it is important for one to be able to understand why a ...
04/30/2020 ∙ by Sarthak Jain, et al. ∙ 2 ∙ share

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Cross-Domain Document Object Detection: Benchmark Suite and Method

Decomposing images of document pages into high-level semantic regions (e...
03/30/2020 ∙ by Kai Li, et al. ∙ 1 ∙ share

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