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Biologically Plausible Sequence Learning with Spiking Neural Networks
Motivated by the celebrated discrete-time model of nervous activity outl...
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Factorized Multimodal Transformer for Multimodal Sequential Learning
The complex world around us is inherently multimodal and sequential (con...
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Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
We introduce MGP-VAE, a variational autoencoder which uses Gaussian proc...
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Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Anomaly detection algorithms find extensive use in various fields. This ...
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Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Transfer learning is widely used in deep neural network models when ther...
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DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Recently, the introduction of the generative adversarial network (GAN) a...
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Deep Semi-Supervised Anomaly Detection
Deep approaches to anomaly detection have recently shown promising resul...
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Lymphocyte counting – Error Analysis of Regression versus Bounding Box Detection Approaches
We consider the problem of counting cell nuclei from celltype-agnostic h...
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Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) is a...
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A*3D Dataset: Towards Autonomous Driving in Challenging Environments
With the increasing global popularity of self-driving cars, there is an ...
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WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation
Monoaural audio source separation is a challenging research area in mach...
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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Integrated gradients as an attribution method for deep neural network mo...
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Generative Adversarial Autoencoder Networks
We introduce an effective model to overcome the problem of mode collapse...
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Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Sarcasm is often expressed through several verbal and non-verbal cues, e...
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Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
In this paper, we tackle an open research question in transfer learning,...
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Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders
In this paper, we learn disentangled representations of timbre and pitch...
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Evaluating Cascading Effects of Attacks on Resilience of Industrial Control Systems: A Design-Centric Modeling Approach
A design-centric modeling approach was proposed to model the behavior of...
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The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
In the last decade, artificial intelligence (AI) models inspired by the ...
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The Disruptions of 5G on Data-driven Technologies and Applications
With 5G on the verge of being adopted as the next mobile network, there ...
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Sensor Fusion for Public Space Utilization Monitoring in a Smart City
Public space utilization is crucial for urban developers to understand h...
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SenseFlow: An Experimental Study for Tracking People
The main challenges in large-scale people tracking are the recognition o...
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Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks
The quest for biologically plausible deep learning is driven, not just b...
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Adaptive Quantization for Deep Neural Network
In recent years Deep Neural Networks (DNNs) have been rapidly developed ...
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Vprop: Variational Inference using RMSprop
Many computationally-efficient methods for Bayesian deep learning rely o...
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Accessible Melanoma Detection using Smartphones and Mobile Image Analysis
We investigate the design of an entire mobile imaging system for early d...
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First-order Methods Almost Always Avoid Saddle Points
We establish that first-order methods avoid saddle points for almost all...
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Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Recently, deep neural networks have demonstrated excellent performances ...
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Detection of Unauthorized IoT Devices Using Machine Learning Techniques
Security experts have demonstrated numerous risks imposed by Internet of...
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Experience Replay Using Transition Sequences
Experience replay is one of the most commonly used approaches to improve...
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Mobile Big Data Analytics Using Deep Learning and Apache Spark
The proliferation of mobile devices, such as smartphones and Internet of...
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Cross-Domain Image Retrieval with Attention Modeling
With the proliferation of e-commerce websites and the ubiquitousness of ...
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Identification and Off-Policy Learning of Multiple Objectives Using Adaptive Clustering
In this work, we present a methodology that enables an agent to make eff...
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Selective Deep Convolutional Features for Image Retrieval
Convolutional Neural Network (CNN) is a very powerful approach to extrac...
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Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
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Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
In most state-of-the-art hashing-based visual search systems, local imag...
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A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation
Recent advances of 3D acquisition devices have enabled large-scale acqui...
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Quantum assisted Gaussian process regression
Gaussian processes (GP) are a widely used model for regression problems ...
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Embedding based on function approximation for large scale image search
The objective of this paper is to design an embedding method that maps l...
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Towards Building an RGBD-M Scanner
We present a portable device to capture both shape and reflectance of an...
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Segmentation Rectification for Video Cutout via One-Class Structured Learning
Recent works on interactive video object cutout mainly focus on designin...
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Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study
We address the vehicle detection and classification problems using Deep ...
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Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Fisher Vector classifiers and Deep Neural Networks (DNNs) are popular an...
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Superpixelizing Binary MRF for Image Labeling Problems
Superpixels have become prevalent in computer vision. They have been use...
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YEDDA: A Lightweight Collaborative Text Span Annotation Tool
In this paper, we introduce YEDDA, a lightweight but efficient open-sour...
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Combining Discrete and Neural Features for Sequence Labeling
Neural network models have recently received heated research attention i...
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Measuring Thematic Fit with Distributional Feature Overlap
In this paper, we introduce a new distributional method for modeling pre...
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Neural Reranking for Named Entity Recognition
We propose a neural reranking system for named entity recognition (NER)....
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Universal Dependencies Parsing for Colloquial Singaporean English
Singlish can be interesting to the ACL community both linguistically as ...
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Neural Word Segmentation with Rich Pretraining
Neural word segmentation research has benefited from large-scale raw tex...
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Opinion Recommendation using Neural Memory Model
We present opinion recommendation, a novel task of jointly predicting a ...
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