2024 "contrastive learning" Papers
104 papers found • Page 1 of 3
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
Jie ZHANG, Xiaosong Ma, Song Guo et al.
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Yongkang Wang, Xuan Liu, Feng Huang et al.
Audio-visual Generalized Zero-shot Learning the Easy Way
Shentong Mo, Pedro Morgado
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng, Lujing Xie, Shijie Fang et al.
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
Yaoming Wang, Jin Li, Wenrui Dai et al.
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos et al.
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai, Yuhang Liu, Zhen Zhang et al.
CLIM: Contrastive Language-Image Mosaic for Region Representation
Size Wu, Wenwei Zhang, Lumin XU et al.
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
Peter Mikhael, Itamar Chinn, Regina Barzilay
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing
Faegheh Sardari, Armin Mustafa, Philip JB Jackson et al.
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang et al.
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
Li Mi, Chang Xu, Javiera Castillo Navarro et al.
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu, Sang Michael Xie
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
Lorenzo Baraldi, Federico Cocchi, Marcella Cornia et al.
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V Huynh, Lauren Gillespie, Jael Lopez-Saucedo et al.
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
Xia, Jonathan Wilson, Benjamin Goldstein et al.
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang, Aaron Ferber, Arman Zharmagambetov et al.
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo Navarro et al.
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
Customizing Language Model Responses with Contrastive In-Context Learning
Xiang Gao, Kamalika Das
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie, Liqiang Jing
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
Yiding Lu, Yijie Lin, Mouxing Yang et al.
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
Mulin Chen, Bocheng Wang, Xuelong Li
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Zelin Zang, Hao Luo, Kai Wang et al.
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang, Jin Zhong, Hanlin Gu et al.
DIM: Dyadic Interaction Modeling for Social Behavior Generation
Minh Tran, Di Chang, Maksim Siniukov et al.
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang et al.
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
Baoying Chen, Jishen Zeng, Jianquan Yang et al.
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
Rui Liu, Yifan Hu, Yi Ren et al.
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho et al.
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
Florian Langer, Jihong Ju, Georgi Dikov et al.
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning
Saandeep Aathreya, Shaun Canavan
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
An Lao, Qi Zhang, Chongyang Shi et al.
FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors
Chen-Wei Xie, Siyang Sun, Liming Zhao et al.
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Shu Yin, Peican Zhu, Lianwei Wu et al.
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
Shiyue Zhang, Zheng Chong, Xujie Zhang et al.
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
Graph-Aware Contrasting for Multivariate Time-Series Classification
Yucheng Wang, Yuecong Xu, Jianfei Yang et al.
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai et al.
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion
Guanyao Wu, Hongming Fu, Jinyuan Liu et al.
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian, Aviv Navon, David Zhang et al.
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul, Zachary Patterson, Nizar Bouguila
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic et al.
Improving fine-grained understanding in image-text pre-training
Ioana Bica, Anastasija Ilic, Matthias Bauer et al.
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar, Pekka Marttinen
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Zhengyi Li, Menglu Li, Lida Zhu et al.
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, JIanfeng Qu, Kexin Wang et al.
Information Flow in Self-Supervised Learning
Zhiquan Tan, Jingqin Yang, Weiran Huang et al.