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Last Updated: September 29, 2026
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Authors: Qi Qian, Juhua Hu, Hao Li Description: With the tremendous success of deep ICCV2025 github.com/IIP-Lab-XDU/Q-Norm. Guest speaker Ramy Mounir discusses his recent work on networks that can learn To appear in CVPR2022. arxiv.org/abs/2203.01522, Code is available at github.com/zhihou7/BatchFormer. We present a novel self-supervised approach for embeddings In this video, we will walkthrough this paper from Google Research, Stony Brook ... A talk on the EMNLP 2021 paper "Contrastive Code Abstract: In this talk, I will introduce our recent works on large-scale visual scene understanding. First, I will explain the major ... RRL GAT Graph Attention Network Driven Multilabel Image Paper title: Multi-GAT: A Graphical Attention-based Can we improve Reinforcement Leanining by decoupling
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