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      AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder

      March 10, 2023

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      Computer Science
      Electrical Engineering and Systems Science
      Computer Vision and Pattern Recognition
      Image and Video Processing
      Class imbalance is a pervasive issue in the field of disease classification from medical images. It is necessary to balance out the class distribution while training a model for decent results. However, in the case of rare medical diseases,...

      DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots

      March 10, 2023

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      Computer Science
      Robotics
      In agricultural environments, viewpoint planning can be a critical functionality for a robot with visual sensors to obtain informative observations of objects of interest (e.g., fruits) from complex structures of plant with random occlusion...

      MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling

      March 10, 2023

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      Computer Science
      Multimedia
      Computation and Language
      Computer Vision and Pattern Recognition
      Video-and-language understanding has a variety of applications in the industry, such as video question answering, text-video retrieval, and multi-label classification. Existing video-and-language understanding methods generally adopt heavy ...

      A Theory for Semantic Channel Coding With Many-to-one Source

      March 9, 2023

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      Computer Science
      Mathematics
      Information Theory
      Information Theory
      Information Theory
      Information Theory
      As one of the potential key technologies of 6G, semantic communication is still in its infancy and there are many open problems, such as semantic entropy definition and semantic channel coding theory. To address these challenges, we investi...

      Task Aware Dreamer for Task Generalization in Reinforcement Learning

      March 9, 2023

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      Computer Science
      Machine Learning
      Machine Learning
      A long-standing goal of reinforcement learning is to acquire agents that can learn on training tasks and generalize well on unseen tasks that may share a similar dynamic but with different reward functions. The ability to generalize across ...

      Generalization analysis of an unfolding network for analysis-based Compressed Sensing

      March 9, 2023

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      Computer Science
      Electrical Engineering and Systems Science
      Mathematics
      Machine Learning
      Information Retrieval
      Information Theory
      Signal Processing
      Information Theory
      Machine Learning
      Information Retrieval
      Information Theory
      Signal Processing
      Information Theory
      Unfolding networks have shown promising results in the Compressed Sensing (CS) field. Yet, the investigation of their generalization ability is still in its infancy. In this paper, we perform a generalization analysis of a state-of-the-art ...

      Boundary feedback control for hyperbolic systems

      March 9, 2023

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      Mathematics
      Optimization and Control
      Analysis of PDEs
      Optimization and Control
      Analysis of PDEs
      We are interested in the feedback stabilization of general linear multi-dimensional first order hyperbolic systems in Rd\mathbb{R}^dRd. Using a Lyapunov function with a suited weight function depending on the system under consideration we sho...

      A Rigid Kurepa Tree From a Free Suslin Tree

      March 9, 2023

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      Mathematics
      Logic
      Logic
      We analyze a countable support product of a free Suslin tree which turns it into a highly rigid Kurepa tree with no Aronszajn subtree. In the process, we introduce a new rigidity property for trees, which says roughly speaking that any non-...

      Universality class of a spinor Bose-Einstein condensate far from equilibrium

      March 9, 2023

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      Physics
      Quantum Gases
      Quantum Physics
      Quantum Gases
      Quantum Physics
      Scale invariance and self-similarity in physics provide a unified framework to classify phases of matter and dynamical properties near equilibrium in both classical and quantum systems. This paradigm has been further extended to isolated ma...

      M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

      March 9, 2023

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      Computer Science
      Computer Vision and Pattern Recognition
      Computer Vision and Pattern Recognition
      In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown classes (i.e., not seen during training), they always predict ...
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