Research map / Point clouds / Shape and surface completion
Tweet Timeline Generation with Determinantal Point Processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add spectral rescaling to DPP (ablation) | DPP · TREC 2014 TTG | F1w: 0.4099 -> 0.4365 | Helped |
| add spectral rescaling to DPP (ablation) | DPP · TREC 2014 TTG | Precision: 0.3447 -> 0.4581 | Helped |
| add spectral rescaling to DPP (ablation) | DPP · TREC 2014 TTG | Recall: 0.4979 -> 0.3105 | Hurt |
| add topical prior to DPP (ablation) | DPP · TREC 2014 TTG | F1w: 0.4099 -> 0.4585 | Helped |
| add topical prior to DPP (ablation) | DPP · TREC 2014 TTG | Precision: 0.3447 -> 0.4655 | Helped |
| add topical prior on top of spectral rescaling (ablation) | DPP+SR · TREC 2014 TTG | F1w: 0.4365 -> 0.4600 | Helped |
| add spectral rescaling on top of topical prior (ablation) | DPP+TP · TREC 2014 TTG | F1w: 0.4585 -> 0.4600 | No clear effect |
| add both strategies to DPP (ablation) | DPP · TREC 2014 TTG | F1: 0.3547 -> 0.3381 | Hurt |
| DPP+SR+TP vs best TREC system | TTGPKUICST2 · TREC 2014 TTG | F1w: 0.4575 -> 0.4600 | No clear effect |
Closest papers by meaning
- DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding (NeurIPS 2025 · similarity 0.81)
- Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance (AAAI 2025 · similarity 0.81)
- EasyTPP: Towards Open Benchmarking Temporal Point Processes (ICLR 2024 · similarity 0.80)
- SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity (CVPR 2025 · similarity 0.80)
- MOCHA: Discovering Multi-Order Dynamic Causal Structure in Temporal Point Processes (NeurIPS 2026 · similarity 0.80)
- State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives (NeurIPS 2026 · similarity 0.80)
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