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09/18/2023
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help
This paper addresses a new motion planning problem for mobile robots tas...
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09/04/2023
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
Recommender systems are typically biased toward a small group of users, ...
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08/30/2023
Can Prompt Learning Benefit Radiology Report Generation?
Radiology report generation aims to automatically provide clinically mea...
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08/20/2023
Enhancing In-Situ Structural Health Monitoring through RF Energy-Powered Sensor Nodes and Mobile Platform
This research contributes to long-term structural health monitoring (SHM...
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08/03/2023
Dynamic Token-Pass Transformers for Semantic Segmentation
Vision transformers (ViT) usually extract features via forwarding all th...
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07/26/2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
Federated learning (FL) collaboratively models user data in a decentrali...
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07/19/2023
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
Despite the wide variety of methods developed for synthetic image attrib...
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07/06/2023
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods
Elementary trapping sets (ETSs) are the main culprits for the performanc...
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07/05/2023
Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Whole slide image (WSI) classification is an essential task in computati...
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07/03/2023
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach
Exploiting the computational heterogeneity of mobile devices and edge no...
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06/12/2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
Deep learning (DL) has proven highly effective for ultrasound-based comp...
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06/08/2023
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
Over-generalization is a thorny issue in cognitive science, where people...
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06/03/2023
Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN
Recently, it is quite common to integrate Chinese sequence labeling resu...
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05/25/2023
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks
Backdoor attacks are an insidious security threat against machine learni...
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05/25/2023
UNITE: A Unified Benchmark for Text-to-SQL Evaluation
A practical text-to-SQL system should generalize well on a wide variety ...
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05/25/2023
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
The multi-scale information among the whole slide images (WSIs) is essen...
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05/24/2023
Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases
The existing collaborative recommendation models that use multi-modal in...
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05/23/2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipshitz Restraint
A self-explaining rationalization model is generally constructed by a co...
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05/19/2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
Modern NLP models are often trained over large untrusted datasets, raisi...
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05/16/2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Reinforcement learning (RL) exhibits impressive performance when managin...
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05/16/2023
An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) research on Google Researc...
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05/11/2023
A new version of the adaptive fast Gauss transform for discrete and continuous sources
We present a new version of the fast Gauss transform (FGT) for discrete ...
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05/08/2023
Adaptive Cross Tubal Tensor Approximation
In this paper, we propose a new adaptive cross algorithm for computing a...
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05/08/2023
MGR: Multi-generator based Rationalization
Rationalization is to employ a generator and a predictor to construct a ...
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05/05/2023
Leaf Cultivar Identification via Prototype-enhanced Learning
Plant leaf identification is crucial for biodiversity protection and con...
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04/26/2023
Filter Pruning via Filters Similarity in Consecutive Layers
Filter pruning is widely adopted to compress and accelerate the Convolut...
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04/26/2023
Structure Diagram Recognition in Financial Announcements
Accurately extracting structured data from structure diagrams in financi...
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04/20/2023
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning
Recent regulations on the Right to be Forgotten have greatly influenced ...
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04/11/2023
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture
Classification of AI-manipulated content is receiving great attention, f...
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03/28/2023
AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation
Automated chromosome instance segmentation from metaphase cell microscop...
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03/24/2023
Multiple Access Design for Symbiotic Radios: Facilitating Massive IoT Connections with Cellular Networks
Symbiotic radio (SR) has emerged as a spectrum- and energy-efficient par...
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03/13/2023
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
The goal of multimodal summarization is to extract the most important in...
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03/12/2023
DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena
Current work on using visual analytics to determine causal relations amo...
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03/09/2023
Estimation of the Directions for Unknown Parameters in Semiparametric Models
Semiparametric models are useful in econometrics, social sciences and me...
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02/10/2023
Building Intelligence in the Mechanical Domain – Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks
In this paper, we experimentally examine the cognitive capability of a s...
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01/21/2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Neural text-to-SQL models have achieved remarkable performance in transl...
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01/16/2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Zero-shot human-AI coordination holds the promise of collaborating with ...
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12/18/2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Robots are traditionally bounded by a fixed embodiment during their oper...
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12/17/2022
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
Recently, there has been increasing interest in synthesizing data to imp...
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12/15/2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Deep reinforcement learning has recently emerged as an appealing alterna...
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12/08/2022
Targeted Adversarial Attacks against Neural Network Trajectory Predictors
Trajectory prediction is an integral component of modern autonomous syst...
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12/05/2022
WAIR-D: Wireless AI Research Dataset
It is a common sense that datasets with high-quality data samples play a...
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11/28/2022
Long-tail Cross Modal Hashing
Existing Cross Modal Hashing (CMH) methods are mainly designed for balan...
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11/28/2022
Incentive-boosted Federated Crowdsourcing
Crowdsourcing is a favorable computing paradigm for processing computer-...
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11/22/2022
Reinforcement Causal Structure Learning on Order Graph
Learning directed acyclic graph (DAG) that describes the causality of ob...
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11/21/2022
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Oversubscription is a common practice for improving cloud resource utili...
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11/02/2022
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Radiology report generation (RRG) has gained increasing research attenti...
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10/21/2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning
Contrastive learning has emerged as a powerful tool for graph representa...
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10/18/2022
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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10/15/2022
