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- ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPoPP)
also: International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM @ PPoPP)
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Publication search results
found 812 matches
- 2024
- Keyang He, Prashant Doshi, Bikramjit Banerjee:
Modeling and reinforcement learning in partially observable many-agent systems. Auton. Agents Multi Agent Syst. 38(1): 12 (2024) - Ur Ya'ar
:
Absoluteness for the theory of the inner model constructed from finitely many cofinality quantifiers. Ann. Pure Appl. Log. 175(Issue 1, Part A): 103358 (2024) - Ali Riahi, Abdorreza Savadi, Mahmoud Naghibzadeh:
Many-BSP: an analytical performance model for CUDA kernels. Computing 106(5): 1519-1555 (2024) - Beenish Habib
, Farida Khursheed:
Time-based DDoS attack detection through hybrid LSTM-CNN model architectures: An investigation of many-to-one and many-to-many approaches. Concurr. Comput. Pract. Exp. 36(9) (2024) - Haochen Zhao
, Jie Wen, Jinqian Yang, Xingjuan Cai
, Chunxia Liu:
A many-objective optimization-based local tensor factorization model for skin cancer detection. Concurr. Comput. Pract. Exp. 36(6) (2024) - Chen Sun
, Guoling Huang, Jian Shu, Youfeng Yang, Bo Wu:
Joint mode selection and resource allocation based on many-to-many reuse in D2D-aided IoT cellular networks. Internet Things 25: 101104 (2024) - Xu Zhou, Zhiqiang Wei, Hao Lu, Jiaqi He, Yuan Gao, Xiaotong Hu, Cunji Wang, Yujie Dong, Hao Liu:
Large-Scale Molecular Dynamics Simulation Based on Heterogeneous Many-Core Architecture. J. Chem. Inf. Model. 64(3): 851-861 (2024) - Zhihua Cui, Xiangyu Shi, Zhixia Zhang, Wensheng Zhang, Jinjun Chen:
Many-objective joint optimization of computation offloading and service caching in mobile edge computing. Simul. Model. Pract. Theory 133: 102917 (2024) - Xiaofei Wu, Shoubin Dong, Jinlong Hu
, Zhidong Huang:
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network. Simul. Model. Pract. Theory 131: 102870 (2024) - KounKou Vincent, Lin Wang
, Wenyuan Liu
:
Toward One-to-Many Respiration Monitoring via Dual-Mode Acoustic Signals. IEEE Trans. Consumer Electron. 70(1): 2970-2978 (2024) - Hongyu Zheng
, Kenan Zhang
, Yu (Marco) Nie
, Pengyu Yan
, Yuan Qu:
How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model. Transp. Sci. 58(1): 152-175 (2024) - Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci:
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. AAAI 2024: 11996-12005 - Mikolaj Malkinski, Jacek Mandziuk:
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. AAAI 2024: 14297-14305 - Jan Simson
, Florian Pfisterer
, Christoph Kern
:
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions. FAccT 2024: 1305-1320 - Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2024, Edinburgh, United Kingdom, 3 March 2024. ACM 2024 [contents]
- Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang:
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models. CoRR abs/2401.05861 (2024) - Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li:
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. CoRR abs/2401.15977 (2024) - Thomas Pöllabauer, Julius Kühn, Jiayi Li, Arjan Kuijper:
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model. CoRR abs/2402.08310 (2024) - Sagar Saxena, Mohammad Nayeem Teli:
Improving Deep Generative Models on Many-To-One Image-to-Image Translation. CoRR abs/2402.12531 (2024) - Lin An, Andrew A. Li, Benjamin Moseley, Gabriel Visotsky:
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model. CoRR abs/2402.13530 (2024) - Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim:
Quantum Many-Body Physics Calculations with Large Language Models. CoRR abs/2403.03154 (2024) - Luiza Pozzobon, Patrick Lewis, Sara Hooker, Beyza Ermis:
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. CoRR abs/2403.03893 (2024) - Xinrun Xu, Zhanbiao Lian, Yurong Wu, Manying Lv, Zhiming Ding, Jin Yan, Shang Jiang:
A Multi-constraint and Multi-objective Allocation Model for Emergency Rescue in IoT Environment. CoRR abs/2403.10299 (2024) - Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp:
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization. CoRR abs/2403.10967 (2024) - Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu:
Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR abs/2404.03109 (2024) - Shaoxiong Ji, Pinzhen Chen:
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? CoRR abs/2404.04850 (2024) - Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou:
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. CoRR abs/2404.10201 (2024) - Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker:
Efficient Transformer Encoders for Mask2Former-style models. CoRR abs/2404.15244 (2024) - Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li:
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models. CoRR abs/2405.00760 (2024)
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