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09/06/2023
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Accurate segmentation of clustered microcalcifications in mammography is...
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09/05/2023
Computing SHAP Efficiently Using Model Structure Information
SHAP (SHapley Additive exPlanations) has become a popular method to attr...
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08/23/2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
In this work, we seek to predict camera poses across scenes with a multi...
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08/22/2023
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
In recent years, vision transformers have been introduced into face reco...
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08/15/2023
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 ha...
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07/31/2023
Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking
3D Multi-object tracking (MOT) empowers mobile robots to accomplish well...
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07/09/2023
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
Skin image datasets often suffer from imbalanced data distribution, exac...
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06/11/2023
RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs
Tool-augmented large language models (LLMs) have achieved remarkable pro...
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06/07/2023
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Planning multi-contact motions in a receding horizon fashion requires a ...
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05/29/2023
Automatic Detection, Validation and Repair of Race Conditions in Interrupt-Driven Embedded Software
Interrupt-driven programs are widely deployed in safety-critical embedde...
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05/27/2023
Disambiguated Lexically Constrained Neural Machine Translation
Lexically constrained neural machine translation (LCNMT), which controls...
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05/23/2023
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
Non-parametric, k-nearest-neighbor algorithms have recently made inroads...
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04/09/2023
Curricular Object Manipulation in LiDAR-based Object Detection
This paper explores the potential of curriculum learning in LiDAR-based ...
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04/07/2023
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sale...
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03/17/2023
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Deep learning-based recommender systems have achieved remarkable success...
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03/04/2023
Demystifying What Code Summarization Models Learned
Study patterns that models have learned has long been a focus of pattern...
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03/02/2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Grid-centric perception is a crucial field for mobile robot perception a...
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03/01/2023
Semi-supervised Parametric Real-world Image Harmonization
Learning-based image harmonization techniques are usually trained to und...
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02/19/2023
Disentangled Representation for Causal Mediation Analysis
Estimating direct and indirect causal effects from observational data is...
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02/19/2023
FusionMotion: Multi-Sensor Asynchronous Fusion for Continuous Occupancy Prediction via Neural-ODE
Occupancy maps are widely recognized as an efficient method for facilita...
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02/14/2023
When and Where to Step: Terrain-Aware Real-Time Footstep Location and Timing Optimization for Bipedal Robots
Online footstep planning is essential for bipedal walking robots, allowi...
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01/08/2023
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
Local feature matching between images remains a challenging task, especi...
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12/21/2022
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
Magnetic Resonance Fingerprinting (MRF) is an efficient quantitative MRI...
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11/16/2022
TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task
This paper describes the joint submission of Alibaba and Soochow Univers...
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11/14/2022
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation
Fully machine translation scarcely guarantees error-free results. Humans...
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10/14/2022
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets
Creating separable representations via representation learning and clust...
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09/03/2022
Illegal But Not Malware: An Underground Economy App Detection System Based on Usage Scenario
This paper focuses on mobile apps serving the underground economy by pro...
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08/23/2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
In most existing studies on large-scale multi-agent coordination, the co...
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08/19/2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Much research has been devoted to the problem of learning fair represent...
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06/25/2022
On how to avoid exacerbating spurious correlations when models are overparameterized
Overparameterized models fail to generalize well in the presence of data...
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06/02/2022
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks
Space communications, particularly mega satellite networks, re-emerged a...
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05/19/2022
An Efficient Piggybacking Design Framework with Sub-packetization l≤ r for All-Node Repair
Piggybacking design has been widely applied in distributed storage syste...
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04/22/2022
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
Smart cities play a vital role in the growth of a nation. In recent year...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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04/01/2022
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems
Input features play a crucial role in the predictive performance of DNN-...
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03/14/2022
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding
Recently, various multimodal networks for Visually-Rich Document Underst...
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02/08/2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
Denoising diffusion probabilistic models (diffusion models for short) re...
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12/30/2021
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Quality Estimation, as a crucial step of quality control for machine tra...
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12/09/2021
Differentially Private Ensemble Classifiers for Data Streams
Learning from continuous data streams via classification/regression is p...
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10/08/2021
Next Generation Mega Satellite Networks: Opportunities, Challenges, and Performance
Digital connectivity has become the foundation of prosperity and an esse...
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09/20/2021
Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model
We present a highly reactive controller which enables bipedal robots to ...
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09/16/2021
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results
While open databases are an important resource in the Deep Learning (DL)...
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09/15/2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Quality Estimation (QE) plays an essential role in applications of Machi...
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09/09/2021
A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots
To achieve highly dynamic jumps of legged robots, it is essential to con...
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08/27/2021
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
Purpose: To improve reconstruction fidelity of fine structures and textu...
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07/11/2021
Combating fake news by empowering fact-checked news spread via topology-based interventions
Rapid information diffusion and large-scaled information cascades can en...
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06/21/2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
The growing literature on "benign overfitting" in overparameterized mode...
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05/14/2021
Learning Gaussian Graphical Models with Latent Confounders
Gaussian Graphical models (GGM) are widely used to estimate the network ...
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03/23/2021
TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware
With the rapid development of blockchain technology, different types of ...
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03/06/2021