AAAI 2024 "contrastive learning" Papers

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation

Yongkang Wang, Xuan Liu, Feng Huang et al.

BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning

Qianhan Feng, Lujing Xie, Shijie Fang et al.

CLIM: Contrastive Language-Image Mosaic for Region Representation

Size Wu, Wenwei Zhang, Lumin XU 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

Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling

Rui Liu, Yifan Hu, Yi Ren et al.

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector

An Lao, Qi Zhang, Chongyang Shi et al.

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking

Shu Yin, Peican Zhu, Lianwei Wu et al.

Graph-Aware Contrasting for Multivariate Time-Series Classification

Yucheng Wang, Yuecong Xu, Jianfei Yang et al.

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

Guanyao Wu, Hongming Fu, Jinyuan Liu et al.

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.

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

HaiTao Yu, Mofei Song

Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation

Qiushi Zhu, Jie Zhang, Yu Gu et al.

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

No More Shortcuts: Realizing the Potential of Temporal Self-Supervision

Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

Root Cause Analysis in Microservice Using Neural Granger Causal Discovery

Cheng-Ming Lin, Ching Chang, Wei-Yao Wang et al.

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition

Cong Wu, Xiao-Jun Wu, Josef Kittler et al.

SECap: Speech Emotion Captioning with Large Language Model

Yaoxun Xu, Hangting Chen, Jianwei Yu et al.

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics

Xueyuan Yang, Chao Yao, Xiaojuan Ban

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

Seokjun Lee, Seung-Won Jung, Hyunseok Seo

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding et al.

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction

Da Luo, Yanglei Gan, Rui Hou et al.

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training

Chaoya Jiang, Wei Ye, Haiyang Xu et al.

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition

Qianrui Zhou, Hua Xu, Hao Li et al.

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng et al.

Unifying Visual and Vision-Language Tracking via Contrastive Learning

Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport

Bin Li, Ye Shi, Qian Yu et al.