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ππ·οΈπ New Research Alert - ICCV 2025 (Oral)! ππ§©π
π Title: Heavy Labels Out! Dataset Distillation with Label Space Lightening π
π Description: The HeLlO framework is a new corpus distillation method that removes the need for large soft labels. It uses a lightweight, online image-to-label projector based on CLIP. This projector has been adapted using LoRA-style, parameter-efficient tuning. It has also been initialized with text embeddings.
π₯ Authors: @roseannelexie, @Huage001, Zigeng Chen, Jingwen Ye, and Xinchao Wang
π
Conference: ICCV, 19 β 23 Oct, 2025 | Honolulu, Hawai'i, USA πΊπΈ
π Paper: https://huggingface.co/papers/2408.08201
πΊ Video: https://www.youtube.com/watch?v=kAyK_3wskgA
π ICCV-2023-25-Papers: https://github.com/DmitryRyumin/ICCV-2023-25-Papers
π Added to the Efficient Learning Section: https://github.com/DmitryRyumin/ICCV-2023-25-Papers/blob/main/sections/2025/main/efficient-learning.md
π More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Keywords: #DatasetDistillation #LabelCompression #CLIP #LoRA #EfficientAI #FoundationModels #AI #ICCV2025 #ResearchHighlightOrganizations
