Summary of Cross Domain Adaptation Using Adversarial Networks with Cyclic Loss, by Manpreet Kaur et al.
Cross Domain Adaptation using Adversarial networks with Cyclic lossby Manpreet Kaur, Ankur Tomar, Srijan Mishra,…
Summary of Visual Modality Prompt For Adapting Vision-language Object Detectors, by Heitor R. Medeiros et al.
Visual Modality Prompt for Adapting Vision-Language Object Detectorsby Heitor R. Medeiros, Atif Belal, Srikanth Muralidharan,…
Summary of Mote: Learning Motion-text Diffusion Model For Multiple Generation Tasks, by Yiming Wu et al.
MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasksby Yiming Wu, Wei Ji, Kecheng Zheng,…
Summary of Spac-net: Rethinking Point Cloud Completion with Structural Prior, by Zizhao Wu et al.
SPAC-Net: Rethinking Point Cloud Completion with Structural Priorby Zizhao Wu, Jian Shi, Xuan Deng, Cheng…
Summary of Efficient Spatio-temporal Signal Recognition on Edge Devices Using Pointlca-net, by Sanaz Mahmoodi Takaghaj et al.
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Netby Sanaz Mahmoodi Takaghaj, Jack SampsonFirst submitted…
Summary of Softlms: Efficient Adaptive Low-rank Approximation Of Language Models Using Soft-thresholding Mechanism, by Priyansh Bhatnagar et al.
SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanismby Priyansh Bhatnagar, Linfeng Wen,…
Summary of Low-latency Task-oriented Communications with Multi-round, Multi-task Deep Learning, by Yalin E. Sagduyu et al.
Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learningby Yalin E. Sagduyu, Tugba Erpek, Aylin Yener,…
Summary of Microcrackattentionnext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization, by Fatahlla Moreh (christian Albrechts University et al.
MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualizationby…
Summary of Generalizing Hyperedge Expansion For Hyper-relational Knowledge Graph Modeling, by Yu Liu et al.
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modelingby Yu Liu, Shu Yang, Jingtao Ding, Quanming…
Summary of When Are 1.58 Bits Enough? a Bottom-up Exploration Of Bitnet Quantization, by Jacob Nielsen et al.
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantizationby Jacob Nielsen, Lukas Galke,…