"contrastive loss" Papers
15 papers found
Conference
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
Jianan Jiang, Hao Tang, Zhilin Jiang et al.
AAAI 2025paperarXiv:2406.11551
BOOTPLACE: Bootstrapped Object Placement with Detection Transformers
Hang Zhou, Xinxin Zuo, Rui Ma et al.
CVPR 2025arXiv:2503.21991
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Lukas Miklautz, Timo Klein, Kevin Sidak et al.
ICLR 2025arXiv:2411.02275
4
citations
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
Sanghwan Kim, Rui Xiao, Iuliana Georgescu et al.
CVPR 2025arXiv:2412.01814
7
citations
Efficient Multimodal Dataset Distillation via Generative Models
Zhenghao Zhao, Haoxuan Wang, Junyi Wu et al.
NEURIPS 2025arXiv:2509.15472
2
citations
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
Songqi Zhou, Zeyuan Liu, Benben Jiang
NEURIPS 2025arXiv:2510.19421
VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution
Limeng Qiao, Yiyang Gan, Bairui Wang et al.
NEURIPS 2025oral
3
citations
AesFA: An Aesthetic Feature
Aware Arbitrary Neural Style Transfer
AAAI 2024paperarXiv:2312.05928
25
citations
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran et al.
ICML 2024arXiv:2310.12274
13
citations
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang et al.
ICML 2024arXiv:2405.09771
28
citations
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
rixin zhou, Ding Xia, YI ZHANG et al.
ECCV 2024arXiv:2312.08704
7
citations
Provable Contrastive Continual Learning
Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.
ICML 2024arXiv:2405.18756
11
citations
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong, Hyunchul Shim
ICML 2024oralarXiv:2403.18947
3
citations
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
Weijieying Ren, Xiaoting Li, Huiyuan Chen et al.
ICML 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
ICML 2024arXiv:2404.04575
10
citations