Contrastive Learning as Goal-Conditioned Reinforcement Learning

von Eysenbach, Benjamin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 46 of 50 (2023)

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks

von Li, Jiayu
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)

Making Linear MDPs Practical Via Contrastive Representation Learning

von Zhang, Tianjun
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

MADE: Exploration via Maximizing Deviation from Explored Regions

von Zhang, Tianjun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

Basic Study on Monitoring Technique for Concretes Prestressed With CFRP by Using Fiber-Optic Sensors

von Zhang, Tianjun
Veröffentlicht in ASME International Conference on Ocean, Offshore & Arctic Engineering (42. : 2023 : Melbourne) Proceedings of ASME 2023 42nd International Conference on Ocean, Offshore & Arctic Engineering (OMAE 2023) ; Volume 2: Structures, safety, and reliability (2023)

Adversarial Attack Generation Empowered by Min-Max Optimization

von Wang, Jingkang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

NovelD: A Simple yet Effective Exploration Criterion

von Zhang, Tianjun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

ANODEV2: A COUPLED NEURAL ODE FRAMEWORK

von Zhang, Tianjun
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices

von Li, Hongjia
Veröffentlicht in GLSVLSI (29. : 2019 : Tysons Corner, Va.) GLSVLSI'19 (2019)

Learning Space Partitions for Path Planning

von Yang, Kevin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 1 of 36 (2022)

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

von Yang, Yifan
Veröffentlicht in ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (27. : 2019 : Seaside, Calif.) FPGA'19 (2019)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices

von Ma, Xiaolong
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 13 (2020)