Paper "self-supervised learning" Papers

40 papers found

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning

Yuti Liu, Shice Liu, Junyuan Gao et al.

AAAI 2025paperarXiv:2412.11952

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

Autoregressive Sequence Modeling for 3D Medical Image Representation

Siwen Wang, Churan Wang, Fei Gao et al.

AAAI 2025paperarXiv:2409.08691
3
citations

EMPLACE: Self-Supervised Urban Scene Change Detection

Tim Alpherts, Sennay Ghebreab, Nanne van Noord

AAAI 2025paperarXiv:2503.17716
5
citations

HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality

Zhiming Hu, Guanhua Zhang, Zheming Yin et al.

ISMAR 2025paperarXiv:2410.16430
3
citations

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

Liuqing Chen, Shuhong Xiao, Shixian Ding et al.

AAAI 2025paperarXiv:2502.06134
1
citations

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning

Swann Bessa, Darius Dabert, Max Bourgeat et al.

AAAI 2025paperarXiv:2408.12695

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Jinfeng Xu, Zheyu Chen, Shuo Yang et al.

AAAI 2025paperarXiv:2402.19407
50
citations

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation

Yujing Liu, Zongqian Wu, Zhengyu Lu et al.

AAAI 2025paperarXiv:2404.17875
2
citations

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

AAAI 2025paperarXiv:2502.21162

Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising

Huaqiu Li, Wang Zhang, Xiaowan Hu et al.

AAAI 2025paperarXiv:2502.06432
3
citations

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning

Kunming Su, Qiuxia Wu, Panpan Cai et al.

AAAI 2025paperarXiv:2409.00353
14
citations

Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising

Zikang Chen, Tao Jiang, Xiaowan Hu et al.

AAAI 2025paperarXiv:2412.11820
2
citations

ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting

Qi Zheng, Zihao Yao, Yaying Zhang

AAAI 2025paperarXiv:2412.14537
1
citations

The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning

Shentong Mo

AAAI 2025paperarXiv:2412.17566
1
citations

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

AAAI 2025paperarXiv:2501.04108

AACP: Aesthetics Assessment of Children’s Paintings Based on Self

Supervised Learning

AAAI 2024paperarXiv:2403.07578
2
citations

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget

Johannes Lehner, Benedikt Alkin, Andreas Fürst et al.

AAAI 2024paperarXiv:2304.10520
22
citations

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Michael Livanos, Ian Davidson, Stephen Wong

AAAI 2024paperarXiv:2402.05942
1
citations

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning

Xinghao Wang, Junliang He, Pengyu Wang et al.

AAAI 2024paperarXiv:2401.13621
10
citations

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning

Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.

AAAI 2024paperarXiv:2402.08963
4
citations

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

AAAI 2024paperarXiv:2401.06595
18
citations

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity

Yiyue Chen, Haris Vikalo, Chianing Wang

AAAI 2024paperarXiv:2312.13380
13
citations

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

Shu Yin, Peican Zhu, Lianwei Wu et al.

AAAI 2024paperarXiv:2312.05739
53
citations

Graph Contrastive Invariant Learning from the Causal Perspective

9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.

AAAI 2024paperarXiv:2401.12564
24
citations

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

AAAI 2024paperarXiv:2308.09119
1
citations

Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos

Shankhanil Mitra, Rajiv Soundararajan

AAAI 2024paperarXiv:2312.15425
9
citations

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Li Sun, Zhenhao Huang, Zixi Wang et al.

AAAI 2024paperarXiv:2401.01232
27
citations

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

Qiushi Zhu, Jie Zhang, Yu Gu et al.

AAAI 2024paperarXiv:2401.03468
15
citations

Neural Network Approximators for Marginal MAP in Probabilistic Circuits

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

AAAI 2024paperarXiv:2402.03621
2
citations

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

AAAI 2024paperarXiv:2309.02028
11
citations

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.

AAAI 2024paperarXiv:2312.13066
9
citations

Rethinking Graph Masked Autoencoders through Alignment and Uniformity

Liang Wang, Xiang Tao, Qiang Liu et al.

AAAI 2024paperarXiv:2402.07225
32
citations

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

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

AAAI 2024paperarXiv:2309.05834
26
citations

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction

Zhaoxi Mu, Xinyu Yang, Sining Sun et al.

AAAI 2024paperarXiv:2312.10305
12
citations

SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation

Dong Wu, Mingmin Chi, Xuan Zang et al.

AAAI 2024paperarXiv:2309.00526
53
citations

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding et al.

AAAI 2024paperarXiv:2302.05428
23
citations

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning

Samyadeep Basu, Shell Hu, Daniela Massiceti et al.

AAAI 2024paperarXiv:2304.01917
50
citations

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Yanan Wu, Zhixiang Chi, Yang Wang et al.

AAAI 2024paperarXiv:2312.10165
32
citations

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning

Pritam Sarkar, Ali Etemad

AAAI 2024paperarXiv:2211.13929
40
citations