{"task":"Point Processes","dataset":"StackOverflow MTPP","metric_names":["OTD","T-mAP","Accuracy (%)","MAE"],"rows":[{"id":87249,"task":"Point Processes","parent_task":null,"dataset":"StackOverflow MTPP","model_name":"DeTPP","metrics":{"OTD":"12.06","T-mAP":"23.11"},"paper_url":"https://arxiv.org/abs/2408.13131v2","paper_title":"DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction","paper_date":"2024-08-23","code_links":[{"title":"ivan-chai/torch-linear-assignment","url":"https://github.com/ivan-chai/torch-linear-assignment"},{"title":"ivan-chai/hotpp-benchmark","url":"https://github.com/ivan-chai/hotpp-benchmark"}],"metrics_order":"[\"OTD\", \"T-mAP\", \"Accuracy (%)\", \"MAE\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":87250,"task":"Point Processes","parent_task":null,"dataset":"StackOverflow MTPP","model_name":"RMTPP","metrics":{"Accuracy (%)":"45.43","MAE":"0.701","OTD":"13.17","T-mAP":"12.72"},"paper_url":"https://arxiv.org/abs/2406.14341v2","paper_title":"HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?","paper_date":"2024-06-20","code_links":[{"title":"ivan-chai/torch-linear-assignment","url":"https://github.com/ivan-chai/torch-linear-assignment"},{"title":"ivan-chai/hotpp-benchmark","url":"https://github.com/ivan-chai/hotpp-benchmark"}],"metrics_order":"[\"OTD\", \"T-mAP\", \"Accuracy (%)\", \"MAE\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]},{"id":87251,"task":"Point Processes","parent_task":null,"dataset":"StackOverflow MTPP","model_name":"IFTPP","metrics":{"Accuracy (%)":"45.41","MAE":"0.641","OTD":"13.64","T-mAP":"8.31"},"paper_url":"https://arxiv.org/abs/2406.14341v2","paper_title":"HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?","paper_date":"2024-06-20","code_links":[{"title":"ivan-chai/torch-linear-assignment","url":"https://github.com/ivan-chai/torch-linear-assignment"},{"title":"ivan-chai/hotpp-benchmark","url":"https://github.com/ivan-chai/hotpp-benchmark"}],"metrics_order":"[\"OTD\", \"T-mAP\", \"Accuracy (%)\", \"MAE\"]","area":"Methodology","uses_additional_data":0,"source":"archive","tags":[]}]}