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Not updated frequently (not correlated with my paper readings). Also, I do not include super popular papers that I read (such as "Attention is all you need" because I can always look them up easily).

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├── autodiff
├── concurrent_computing
├── embedded
│   └── flight_software
├── high_performance_computing
│   ├── alpaka
│   └── cuda
├── machine_learning
│   ├── computer_vision
│   │   ├── diffusion
│   │   │   └── quantization
│   │   ├── gaze_tracking
│   │   │   ├── algorithm
│   │   │   │   ├── VLM
│   │   │   │   ├── calibration-free
│   │   │   │   │   ├── emphasis_techniques
│   │   │   │   │   ├── interactions
│   │   │   │   │   ├── other_devices
│   │   │   │   │   ├── others
│   │   │   │   │   ├── saliency
│   │   │   │   │   └── smooth_pursuit
│   │   │   │   └── efficient
│   │   │   ├── dataset
│   │   │   └── review
│   │   └── synergic_deep_learning
│   ├── hep
│   │   └── LHCtrigger
│   └── natural_language_processing
│       └── LLM
│           └── quantization
├── research_software_engineering
│   ├── astro
│   ├── batteries
│   └── hep
├── sciml
├── software_engineering
│   └── runtime_verification
├── systems_for_ml
│   ├── LLM_inference
│   ├── LLM_pre_training
│   ├── LLM_reinforcement_learning
│   ├── agents_for_inference_rl
│   └── fast_inference
└── theoretical_cs
    └── type_theory

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Papers, theses, and presentations that I like (might have read, might be on the reading list)

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