List of Readed Papers

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Spring 2022:

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DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

• interesting, new thing to learn,

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Gaussian Imagination in Bandit Learning

• math oriented, theory oriented
• Reinforce Learning topics

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Quantum Capsule Networks

• new concept from previous ideas.
• Neurons Network components. NN components design theory, ideas.

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Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network

• something something wifi something.
• deploy NN to make router optimize the speed with devices connected to.
• deployment papers.

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Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks

• NN component, sequential data classifications.
• new things.

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Topological Representations of Local Explanations

• data analitics field.
• dimenstions reductions.

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Realistic Full-Body Anonymization with Surface-Guided GANs

• GANs, very applicational
• cools problems. have curse images.

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Generalize Category Discovery

• new cool problems.
• mark new label for the existing unlabel images. from what learnt in the labeled images

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HEAD2TOE: UTILIZING INTERMEDIATE REPRESENTATIONS FOR BETTER TRANSFER LEARNING

• cool transfer learning method
• might not trained another MLP, NN, etc....

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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

• review papers, long,

  READFIRST

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Consistent Style Transfer

• typical style transfer upgrade.

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When is Offline Two-Player Zero-Sum Markov Game Solvable?

• proof, theory,
• Reinforcement Learning

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Differentiable and Scalable Generative Adversarial Models for Data Imputation

• a GANs for filling missed data values.

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Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations

• optimizations papers -> math heavy
• reinforcement learning optimization

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In Defense of the Unitary Scalarization for Deep Multi-Task Learning

• proof that we can solve something more difficult by generalize the problems to a solved problem.
• Multi-task learning , Reinforce Learning

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Language-driven Semantic Segmentations

• Image Segmentations,
• Applications papers
• NN designs

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A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

• network-based, inferstruture based papers.
• make use of Internet's computer to do the computational for trainning,
• making less upload/downloads data is one of the purpose of papers

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De-rendering 3D Objects in the Wild

• from 2D images, create 3D models...
• with that model, we could do other things in 3D design applications. like appy lights,shadows,......

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BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding

• new video encoding