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Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications
This letter considers a multiple-input single-output (MISO) downlink com...
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Take More Positives: A Contrastive Learning Framework for Unsupervised Person Re-Identification
Exploring the relationship between examples without manual annotations i...
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SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a r...
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Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System
Decision trees are machine learning models commonly used in various appl...
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Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
This paper studies jumping for wheeled-bipedal robots, a motion that tak...
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Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning
Human judgments of word similarity have been a popular method of evaluat...
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Outlier-robust Kalman Filter in the Presence of Correlated Measurements
We consider the robust filtering problem for a state-space model with ou...
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Non-reversible sampling schemes on submanifolds
Calculating averages with respect to probability measures on submanifold...
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Merchant Category Identification Using Credit Card Transactions
Digital payment volume has proliferated in recent years with the rapid g...
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Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
In recent years, distantly-supervised relation extraction has achieved a...
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Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
Current supervised relational triple extraction approaches require huge ...
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Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach
Deep reinforcement learning (DRL) demonstrates great potential in maples...
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G-DARTS-A: Groups of Channel Parallel Sampling with Attention
Differentiable Architecture Search (DARTS) provides a baseline for searc...
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How Can Self-Attention Networks Recognize Dyck-n Languages?
We focus on the recognition of Dyck-n (𝒟_n) languages with self-attentio...
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Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
Multi-hop reasoning has been widely studied in recent years to seek an e...
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Finite-Time Analysis for Double Q-learning
Although Q-learning is one of the most successful algorithms for finding...
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Kernel Based Progressive Distillation for Adder Neural Networks
Adder Neural Networks (ANNs) which only contain additions bring us a new...
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Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction
Fine-tuning pre-trained models have achieved impressive performance on s...
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DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning
Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and...
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Multi-Authority Ciphertext-Policy Attribute Based Encryption With Accountability
Attribute-based encryption (ABE) is a promising tool for implementing fi...
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Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
Intelligent reflecting surface (IRS) offers a cost effective solution to...
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Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors
Modern multicore systems are migrating from homogeneous systems to heter...
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Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA
Fine-grained runtime power management techniques could be promising solu...
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An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power
As field-programmable gate arrays become prevalent in critical applicati...
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Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA
Decision trees are machine learning models commonly used in various appl...
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HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis
High-level synthesis (HLS) enables designers to customize hardware desig...
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Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator
We present an imitation learning method for autonomous drone patrolling ...
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Products-10K: A Large-scale Product Recognition Dataset
With the rapid development of electronic commerce, the way of shopping h...
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A(DP)^2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
As deep learning models are usually massive and complex, distributed lea...
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Autonomous Social Distancing in Urban Environments using a Quadruped Robot
COVID-19 pandemic has become a global challenge faced by people all over...
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Cluster-level Feature Alignment for Person Re-identification
Instance-level alignment is widely exploited for person re-identificatio...
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GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
The task of room layout estimation is to locate the wall-floor, wall-cei...
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PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly
Spurred by widening gap between data processing speed and data communica...
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Pneumonia after bacterial or viral infection preceded or followed by radiation exposure – a reanalysis of older radiobiological data and implications for low dose radiotherap
Currently, there are 14 ongoing clinical studies on low dose radiotherap...
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Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller
This paper presents a neural-network based adaptive feedback control str...
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Cyber-Resilient Transactive Energy System Design over Insecure Communication Links
In this paper, the privacy and security issues associated with transacti...
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Momentum Q-learning with Finite-Sample Convergence Guarantee
Existing studies indicate that momentum ideas in conventional optimizati...
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Research Progress of Convolutional Neural Network and its Application in Object Detection
With the improvement of computer performance and the increase of data vo...
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CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
We address the curve lane detection problem which poses more realistic c...
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Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
Despite great progress in supervised semantic segmentation,a large perfo...
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Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Existing convergence analyses of Q-learning mostly focus on the vanilla ...
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Automatic Image Labelling at Pixel Level
The performance of deep networks for semantic image segmentation largely...
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Multi-future Merchant Transaction Prediction
The multivariate time series generated from merchant transaction history...
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Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Current multi-object tracking and segmentation (MOTS) methods follow the...
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PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Multiple-object tracking and segmentation (MOTS) is a novel computer vis...
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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
We study the problem of making item recommendations to ephemeral groups,...
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FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications
Fast and accurate depth estimation, or stereo matching, is essential in ...
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Map Generation from Large Scale Incomplete and Inaccurate Data Labels
Accurately and globally mapping human infrastructure is an important and...
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Learning from a Lightweight Teacher for Efficient Knowledge Distillation
Knowledge Distillation (KD) is an effective framework for compressing de...
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Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters
While prior researches focus on CPU-based microservices, they are not ap...
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