Search Results for author:
Found 5 papers, 3 papers with code
Federated Recommendation via Hybrid Retrieval Augmented Generation
To this end, we propose GPT-FedRec, a federated recommendation framework leveraging ChatGPT and a novel hybrid Retrieval Augmented Generation (RAG) mechanism.
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Hence we advocate that the key of better performance lies in meaningful latent modality structures instead of perfect modality alignment.
Few-Shot Image Classification
Open-Ended Question Answering
+6
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
In this work, we propose End-to-end Hardware-aware DNAS (EH-DNAS), a seamless integration of end-to-end hardware benchmarking, and fully automated DNAS to deliver hardware-efficient deep neural networks on various platforms, including Edge GPUs, Edge TPUs, Mobile CPUs, and customized accelerators.
MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection
Moreover, we make a key observation that subtle forgery artifacts can be further exposed in the patch-wise phase and amplitude spectrum and exhibit different clues.
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
The internet is filled with fake face images and videos synthesized by deep generative models.
