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                        Digital Twin Based Disaster Management System Proposal:
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                        Deep Learning and Machine Vision for Food Processing: A
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                        SimPLE: Similar Pseudo Label Exploitation for
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                        CoLA: Weakly-Supervised Temporal Action Localization
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                        Storchastic: A Framework for General Stochastic
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                        Tossing Quantum Coins and Dice
                    
                     
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                        Machine Learning Applications to Kronian Magnetospheric
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                        Trajectory Tracking of Underactuated Sea Vessels With
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                        The Development and Validation of the
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                        General local energy-preserving integrators for solving
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                        Multilevel Iteration Method for Binary Stochastic
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                        Benchmarks for Deep Off-Policy Evaluation
                    
                     
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                        Evaluating the Morphosyntactic Well-formedness of
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                        Limiting behaviour of the generalized simplex gradient
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                        Drug Discovery Approaches using Quantum Machine
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                        Robust Facial Expression Recognition with Convolutional
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                        Memorability: An image-computable measure of
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                    03-30-2021
                 
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                        Learning Robust Feedback Policies from Demonstrations
                    
                     
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                        Fully Convolutional Scene Graph Generation
                    
                     
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                        Rank-One Prior: Toward Real-Time Scene Recovery
                    
                     
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                        Automatic airway segmentation from Computed Tomography
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                        Half-Real Half-Fake Distillation for Class-Incremental
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                        Securing Smart Homes via Software-Defined Networking
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                        Data-Driven Optimization for Police Zone Design
                    
                     
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                        Qualitative Planning in Imperfect Information Games
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                        Reservoir-Based Distributed Machine Learning for Edge
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                        On the space-time discretization of variational
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                        Embracing Uncertainty: Decoupling and De-bias for
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                        Weakly Supervised Temporal Action Localization Through
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                        Adversarially learned iterative reconstruction for
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                        FONTNET: On-Device Font Understanding and Prediction
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                        Collaborative construction of lexicographic and
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                        Elvis Mboning Tchiaze
                    
                 
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                        EnergyVis: Interactively Tracking and Exploring Energy
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                        Neural Response Interpretation through the Lens of
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                        Large-Scale Pre-Training of End-to-End Multi-Talker ASR
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                    03-31-2021
                 
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                        The GIST and RIST of Iterative Self-Training for
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                    03-30-2021
                 
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                        Iteration complexity analysis of a partial LQP-based
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                        XVFI: eXtreme Video Frame Interpolation
                    
                     
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                        TL;DR: Out-of-Context Adversarial Text Summarization
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                        Bit-Mixer: Mixed-precision networks with runtime
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                    04-01-2021
                 
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                        Augmenting Zero Trust Architecture to Endpoints Using
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                        Optimized quantum f-divergences
                    
                     
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                    03-31-2021
                 
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                        Camouflaged Instance Segmentation: Dataset and
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                        Efficacy of Bayesian Neural Networks in Active Learning
                    
                     
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                        An optimal complexity spectral method for
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                        Comparison of wide-band vibrotactile and friction
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                        Fixing the Teacher-Student Knowledge Discrepancy in
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                        Developing a New Autism Diagnosis Process Based on a
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                        DiffAqua: A Differentiable Computational Design
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                        Joint Deep Multi-Graph Matching and 3D Geometry
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                        Zhenzhang Ye
                    
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                        Assessment of machine learning methods for
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                        Use of off-the-shelf information extraction algorithms
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                        Differentiable Deconvolution for Improved Stroke
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                        Parameterized Hypercomplex Graph Neural Networks for
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                        Space-time finite element methods for the initial
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                        Mask-ToF: Learning Microlens Masks for Flying Pixel
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                        Long-Term Temporally Consistent Unpaired Video
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                        SDAN: Squared Deformable Alignment Network for Learning
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                        Large Scale Autonomous Driving Scenarios Clustering
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                        Probabilistic Analogical Mapping with Semantic Relation
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                        The Gamma Function via Interpolation
                    
                     
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                        Confidence Adaptive Anytime Pixel-Level Recognition
                    
                     
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                        Towards understanding the power of quantum kernels in
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                        Intel HEXL: Accelerating Homomorphic Encryption with
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                        Fully Understanding Generic Objects: Modeling,
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                        Analyzing and Quantifying Generalization in
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                        Exponential Reduction in Sample Complexity with
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                        Human Activity Analysis and Recognition from
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                        Effect of depth order on iterative nested named entity
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                        Decoding Orders for Securing Untrusted NOMA
                    
                     
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                        Data in context: How digital transformation can support
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                        A Signal-Centric Perspective on the Evolution of
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                        Optimizer Fusion: Efficient Training with Better
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                        On Generalizing Trace Minimization
                    
                     
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                        Regularized target encoding outperforms traditional
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                        AlphaEvolve: A Learning Framework to Discover Novel
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                        GDPR Compliant Blockchains-A Systematic Literature
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                        Lower bound on the Voronoi diagram of lines in RdRd
                    
                     
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                        Fast Certified Robust Training via Better
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                        Defending Against Image Corruptions Through Adversarial
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                        Analysis of injection operators in multigrid solvers
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                        Robust Experimentation in the Continuous Time Bandit
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                        Unconstrained Face Recognition using ASURF and
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                        Learning and Exploring Motor Skills with Spacetime
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                        Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
                    
                     
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                        OLIVAW: Mastering Othello with neither Humans nor a
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                        HAD-Net: A Hierarchical Adversarial Knowledge
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                        TUSQ: Targeted High-Utility Sequence Querying
                    
                     
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                        How Powerful are Performance Predictors in Neural
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                        Reconciling the Discrete-Continuous Divide: Towards a
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                        BRepNet: A topological message passing system for solid
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                        Residual whiteness principle for automatic parameter
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                        Cursed yet Satisfied Agents
                    
                     
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                        An abstract theory of domain decomposition methods with
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                        DIVERSE: bayesian Data IntegratiVE learning for precise
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                        Inference of Recyclable Objects with Convolutional
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                        Universal Prediction Band via Semi-Definite Programming
                    
                     
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                        Step-Change in Friction under Electrovibration
                    
                     
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