Summary of Single-view Graph Contrastive Learning with Soft Neighborhood Awareness, by Qingqiang Sun et al.
Single-View Graph Contrastive Learning with Soft Neighborhood Awarenessby Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin…
Summary of Mosld: An Extremely Parameter-efficient Mixture-of-shared Loras For Multi-task Learning, by Lulu Zhao et al.
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learningby Lulu Zhao, Weihao Zeng, Xiaofeng Shi,…
Summary of Rate-in: Information-driven Adaptive Dropout Rates For Improved Inference-time Uncertainty Estimation, by Tal Zeevi et al.
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimationby Tal Zeevi, Ravid Shwartz-Ziv, Yann…
Summary of Some Best Practices in Operator Learning, by Dustin Enyeart and Guang Lin
Some Best Practices in Operator Learningby Dustin Enyeart, Guang LinFirst submitted to arxiv on: 9…
Summary of From Uncertainty to Trust: Enhancing Reliability in Vision-language Models with Uncertainty-guided Dropout Decoding, by Yixiong Fang et al.
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decodingby Yixiong Fang,…
Summary of Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks, by Junhe Zhang et al.
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Summary of Learn More by Using Less: Distributed Learning with Energy-constrained Devices, By Roberto Pereira et al.
Learn More by Using Less: Distributed Learning with Energy-Constrained Devicesby Roberto Pereira, Cristian J. Vaca-Rubio,…
Summary of Reliable and Scalable Variable Importance Estimation Via Warm-start and Early Stopping, by Zexuan Sun et al.
Reliable and scalable variable importance estimation via warm-start and early stoppingby Zexuan Sun, Garvesh RaskuttiFirst…
Summary of Homeostasis and Sparsity in Transformer, by Leonid Kotyuzanskiy et al.
Homeostasis and Sparsity in Transformerby Leonid Kotyuzanskiy, Artem KlimovFirst submitted to arxiv on: 30 Nov…
Summary of Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows, by Feng Liu et al.
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflowsby Feng Liu, Haipeng Li, Guangyuan Zou, Junlun…