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Copy file name to clipboardExpand all lines: src/templates/paper-classification.njk
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- Focuses on practical demonstration, user interaction, and the demonstration plan.
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- Compared with a system paper, a demo paper is a short paper, and has more focus on the demo plan and user interaction, whereas a system paper normally does not have a demo plan or user interaction.
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5. **Vision Paper:**
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- Presents forward-looking ideas or proposes new research directions, or presents an argument or perspective on a particular issue within the field.
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- Explores high-level concepts, usually without detailed experiments.
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- Aims to spark discussion or debate, providing supporting arguments and critical analysis.
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6. **Short Paper (Work-in-Progress Paper):**
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- Provides preliminary results or ongoing research not yet mature enough for a full paper.
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- Focuses on motivation, methodology, and early findings.
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7. **Tutorial Paper:**
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- Offers instructional content on a specific topic, aimed at educating the audience.
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- Includes comprehensive background information, explanations, and practical applications.
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8. **Application Paper:**
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- Focuses on the practical application of existing theories or methods to solve real-world problems.
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- Describes problem context, adaptation of methods, results, and impact assessment.
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9. **Data Paper:**
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- Describes datasets made available to the research community.
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- Includes data collection methods, structure, validation, and potential uses.
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- The difference to "Benchmark Paper (Dataset)" is that the data paper usually does not have performance baselines for specific tasks.
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10. **Benchmark Paper (Dataset)**:
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5. **Benchmark Paper (Dataset)**:
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- Introduces new datasets, with a focus on dataset collection, annotation, validation, and performance baselines for specific tasks.
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- Compared with a data paper, a benchmark paper has more experiments on baselines and findings.
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- Compared with an experimental survey paper, a benchmark paper focuses on new datasets.
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11. **Experiment, Analysis and Benchmark Paper**:
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6. **Experiment, Analysis and Benchmark Paper**:
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- Revisits and conducts a comprehensive study and empirical comparison of existing algorithms or methods on established tasks, often evaluating strengths, weaknesses, and performance across various conditions.
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- Typically does not include new datasets but focuses on existing algorithms or methods.
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12. **Industry Track Paper:**
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7. **Industry Track Paper:**
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- Covers all aspects of innovative commercial or industrial-strength systems and solutions.
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- Welcomes novel applications of systems and experiences in applying recent research advances to problems relevant to the industry.
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- Must articulate the innovative aspect of a product or application project (including relevant open-source software) and should not provide only a general overview or address a pure research problem.
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13. **Research Paper (Technical Paper)**:
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8. **Research Paper (Technical Paper)**:
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- Presents original research findings, new methodologies, algorithms, or theoretical advancements.
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- Focuses on technical innovation and empirical validation.
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- **Default** if none of the above types apply.
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14. **Rebuttal and Response Paper**:
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9. **Rebuttal and Response Paper**:
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- Presents a rebuttal or response to a reviewer's comments.
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- Focuses on addressing the concerns raised in reviewer's comments.
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15. **Blog Post Paper**:
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10. **Blog Post Paper**:
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- Presents a blog post on a specific topic.
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- Focuses on providing information and insights on a particular topic. The example topics could be:
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1) Reviews past work and summarizes outcomes, develops new intuitions, or highlights shortcomings.
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4) Analyzes the societal implications of recent advancements in machine learning and AI.
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5) Shares cool research ideas that were tried but did not work out.
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16. **Thesis Paper**:
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11. **Thesis Paper**:
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- Presents a thesis paper on a specific topic.
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- A student's thesis is a comprehensive, in-depth research document that presents the original contributions of a student to their field of study
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