4.3D目标检测中的benchmark知识蒸馏 有了第3节中导出的学生网络,我们现在准备对用于3D对象检测的知识蒸馏进行实证研究。在这里,我们对7种流行的2D KD方法进行了基准测试,包括logit KD(即KD[18]和GID-L[9]),特征KD(即FitNet [40], Mimic [26], FG[50]和GID-F[9]),以及label KD,在6对师生上进行了综合...
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems【Tenrec:推荐系统的大规模多用途基准数据集】 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction【APG:点击率预测的自适应参数生成网络】 因果效应 Deep Multi-Modal Structural Equations For Causal Effect Estim...
Recommender Forest for Efficient Retrieval【高效检索的推荐系统森林】 Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems【Tenrec:推荐系统的大规模多用途基准数据集】 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction【APG:点击率预测的自适应参数生成网络】 因...
instead of pixels. VSR Transformers equipped with patch alignment could demonstrate state-of-the-art performance on multiple benchmarks. Our work provides valuable insights on how multi-frame information is used in VSR and how to select alignment methods for different networks/datasets....
test_cpu_mem.sh fix importing bugs Oct 23, 2022 trainer.py fix label leakage issue, rerun the experiments Feb 28, 2023 utils.py init Mar 8, 2022 Repository files navigation README MIT license Benchmark ScalableGraphLearning This is an authors' implementation of "A Comprehensive Study on Large...
(2022-NIPS) Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu. TLDR: Casting model explanation as a causal inference problem, we introduce CEBaB, a new benchmark dataset for assessing explanation methods in NLP....
Datasets and Benchmarks Track 是CCFA嘛？NIPS DB含金量怎么样呀？跟main同等吗？手头上有一些bench的...
Oct 16, 2022 trainer.py Update trainer.py Mar 7, 2024 utils.py Update utils.py Mar 25, 2024 README Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems Tenrec is a large-scale multipurpose benchmark dataset for recommender systems where data was collected from two fee...
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch. - strategist922/large_scale_gcn_benchmarking
1. Benchmarks for Corruption Invariant Person Re-identification 作者:Minghui Chen, Zhiqiang Wang, Feng Zheng 摘要:在安全关键应用中部署行人重识别(ReID)模型时,了解该模型对各种图像损坏的鲁棒性是至…