Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience

Kavli Affiliate: Yi Zhou | First 5 Authors: Zeyu Wang, Weichen Dai, Xiangyu Zhou, Ji Qi, Yi Zhou | Summary: Vision Transformer and its variants have been adopted in many visual tasks due to their powerful capabilities, which also bring significant challenges in computation and storage. Consequently, researchers have introduced various compression methods in recent […]


Continue.. Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience

Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience

Kavli Affiliate: Yi Zhou | First 5 Authors: Zeyu Wang, Weichen Dai, Xiangyu Zhou, Ji Qi, Yi Zhou | Summary: Vision Transformer and its variants have been adopted in many visual tasks due to their powerful capabilities, which also bring significant challenges in computation and storage. Consequently, researchers have introduced various compression methods in recent […]


Continue.. Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience

Integrated Mode-Hop-Free Tunable Lasers at 780 nm for Chip-Scale Classical and Quantum Photonic Applications

Kavli Affiliate: John E. Bowers | First 5 Authors: Joshua E. Castro, Eber Nolasco-Martinez, Paolo Pintus, Zeyu Zhang, Boqiang Shen | Summary: In the last decade, remarkable advances in integrated photonic technologies have enabled table-top experiments and instrumentation to be scaled down to compact chips with significant reduction in size, weight, power consumption, and cost. […]


Continue.. Integrated Mode-Hop-Free Tunable Lasers at 780 nm for Chip-Scale Classical and Quantum Photonic Applications

UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models

Kavli Affiliate: Cheng Peng | First 5 Authors: Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen | Summary: Automatic generation of discharge summaries presents significant challenges due to the length of clinical documentation, the dispersed nature of patient information, and the diverse terminology used in healthcare. This paper presents a hybrid solution for […]


Continue.. UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models

Temporal Residual Jacobians For Rig-free Motion Transfer

Kavli Affiliate: Matthew Fisher | First 5 Authors: Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim | Summary: We introduce Temporal Residual Jacobians as a novel representation to enable data-driven motion transfer. Our approach does not assume access to any rigging or intermediate shape keyframes, produces geometrically and temporally consistent motions, and […]


Continue.. Temporal Residual Jacobians For Rig-free Motion Transfer

Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks

Kavli Affiliate: Long Zhang | First 5 Authors: Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia | Summary: In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative […]


Continue.. Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks

Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks

Kavli Affiliate: Long Zhang | First 5 Authors: Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia | Summary: In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative […]


Continue.. Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks

Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks

Kavli Affiliate: Bo Gu | First 5 Authors: Ziqi Lin, Xu Zhang, Shimin Gong, Lanhua Li, Zhou Su | Summary: Long-range (LoRa) communication technology, distinguished by its low power consumption and long communication range, is widely used in the Internet of Things. Nevertheless, the LoRa MAC layer adopts pure ALOHA for medium access control, which […]


Continue.. Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks

Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchen Liu, Zheng Zhu, , , | Summary: We propose the realization of interaction-driven insulators in periodically strained monolayer graphene and transition metal dichalcogenides (TMDs). By analyzing the tunable band structure and band geometry via strain, and performing extensive many-body exact diagonalization of a realistic model, we […]


Continue.. Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yuchen Liu, Zheng Zhu, , , | Summary: We propose the realization of interaction-driven insulators in periodically strained monolayer graphene and transition metal dichalcogenides (TMDs). By analyzing the tunable band structure and band geometry via strain, and performing extensive many-body exact diagonalization of a realistic model, we […]


Continue.. Engineering Fractional Chern Insulators through Periodic Strain in Monolayer Graphene and Transition Metal Dichalcogenides