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FETA: Towards Specializing Foundation Models for Expert Task Applications., , , , , , , , , and 3 other author(s). CoRR, (2022)Detector-Free Weakly Supervised Grounding by Separation., , , , , , , , , and 7 other author(s). ICCV, page 1781-1792. IEEE, (2021)NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search., , , , , , , , , and 1 other author(s). AAAI, page 9294-9302. AAAI Press, (2021)Sim VQA: Exploring Simulated Environments for Visual Question Answering., , , , and . CVPR, page 5046-5056. IEEE, (2022)Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition., , , , , , and . CVPR, page 6165-6175. Computer Vision Foundation / IEEE, (2021)Teaching Structured Vision & Language Concepts to Vision & Language Models., , , , , , , , , and . CVPR, page 2657-2668. IEEE, (2023)Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback., , , , , , and . CVPR, page 11307-11317. Computer Vision Foundation / IEEE, (2021)AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning., , , and . NeurIPS, (2020)How Transferable are Video Representations Based on Synthetic Data?, , , , , , , , , and . NeurIPS, (2022)Learning to Grow Pretrained Models for Efficient Transformer Training., , , , , , , , and . ICLR, OpenReview.net, (2023)