Lars Hertel - RankMe

29 papers A* 2A 2B 2Misc 2Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking. CoRR Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi, Satyam Kumar, Yue Zhang, Borja Ocejo, Benjamin Zelditch, Adrian Englhardt, Hailing Cheng, Andy Hu, Antonio Alonso, Daming Li, Siddharth Dangi, Chen Zhu, Mingzhou Zhou, Wanning Li, Tao Huang, Fedor Borisyuk, Ganesh Parameswaran, Birjodh Singh Tiwana, Sriram Sankar, Qing Lan, Julie Choi, Souvik Ghosh
2026	J	`jnl`	CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only Transformer. CoRR David Pardoe, Neil Daftary, Miro Furtado, Aditya Aiyer, Yu Wang, Liuqing Li, Tao Song, Lars Hertel, Young Jin Yun, Senthil Radhakrishnan, Zhiwei Wang, Tommy Li, Khai Tran, Ananth Nagarajan, Ali Naqvi, Yue Zhang, Renpeng Fang, Avi Romascanu, Arjun Kulothungun, Deepak Kumar, Praneeth Boda, Fedor Borisyuk, Ruoyan Wang
2024	J	`jnl`	Efficient user history modeling with amortized inference for deep learning recommendation models. CoRR Lars Hertel, Neil Daftary, Fedor Borisyuk, Aman Gupta, Rahul Mazumder
2024	A*	`conf`	LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2024	J	`jnl`	LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2022	J	`jnl`	Reproducible Hyperparameter Optimization. J. Comput. Graph. Stat. Lars Hertel, Pierre Baldi, Daniel L. Gillen
2020	—	`—`	On Hyperparameter Optimization for Deep Learning. Lars Hertel
2020	J	`jnl`	Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning. CoRR Lars Hertel, Pierre Baldi, Daniel L. Gillen
2020	J	`jnl`	Sherpa: Robust Hyperparameter Optimization for Machine Learning. CoRR Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
2020	J	`jnl`	Sherpa: Robust hyperparameter optimization for machine learning. SoftwareX Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
2017	Misc	`conf`	CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification. ICASSP Huy Phan, Philipp Koch, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins
2017	J	`jnl`	Deep Convolutional Neural Networks as Generic Feature Extractors. CoRR Lars Hertel, Erhardt Barth, Thomas Käster, Thomas Martinetz
2017	J	`jnl`	Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Radoslaw Mazur, Alfred Mertins
2016	J	`jnl`	CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition. CoRR Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins
2016	J	`jnl`	CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection. CoRR Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins
2016	J	`jnl`	Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling. CoRR Lars Hertel, Huy Phan, Alfred Mertins
2016	J	`jnl`	Comparing Time and Frequency Domain for Audio Event Recognition Using Deep Learning. CoRR Lars Hertel, Huy Phan, Alfred Mertins
2016	B	`conf`	Comparing time and frequency domain for audio event recognition using deep learning. IJCNN Lars Hertel, Huy Phan, Alfred Mertins
2016	A*	`conf`	Label Tree Embeddings for Acoustic Scene Classification. ACM Multimedia Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins
2016	J	`jnl`	Label Tree Embeddings for Acoustic Scene Classification. CoRR Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins
2016	J	`jnl`	Learning Compact Structural Representations for Audio Events Using Regressor Banks. CoRR Huy Phan, Marco Maaß, Lars Hertel, Radoslaw Mazur, Ian McLoughlin, Alfred Mertins
2016	J	`jnl`	Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns. IEEE ACM Trans. Audio Speech Lang. Process. Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins
2016	Misc	`conf`	Learning compact structural representations for audio events using regressor banks. ICASSP Huy Phan, Marco Maaß, Lars Hertel, Radoslaw Mazur, Ian McLoughlin, Alfred Mertins
2016	A	`conf`	Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. INTERSPEECH Huy Phan, Lars Hertel, Marco Maaß, Alfred Mertins
2016	J	`jnl`	Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. CoRR Huy Phan, Lars Hertel, Marco Maaß, Alfred Mertins
2015	—	`conf`	A multi-channel fusion framework for audio event detection. WASPAA Huy Phan, Marco Maaß, Lars Hertel, Radoslaw Mazur, Alfred Mertins
2015	—	`conf`	Audio phrases for audio event recognition. EUSIPCO Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins
2015	B	`conf`	Deep convolutional neural networks as generic feature extractors. IJCNN Lars Hertel, Erhardt Barth, Thomas Käster, Thomas Martinetz
2015	A	`conf`	Representing nonspeech audio signals through speech classification models. INTERSPEECH Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins