AAAI 2024 "self-supervised learning" Papers
24 papers found
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner, Benedikt Alkin, Andreas Fürst et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
Pengfei Zhu, Qian Wang, Yu Wang et al.
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
Yiyue Chen, Haris Vikalo, Chianing Wang
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Shu Yin, Peican Zhu, Lianwei Wu et al.
Graph Contrastive Invariant Learning from the Causal Perspective
9672 Yanhu Mo, Xiao Wang, Shaohua Fan et al.
ICAR: Image-Based Complementary Auto Reasoning
Xijun Wang, Anqi Liang, Junbang Liang et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Li Sun, Zhenhao Huang, Zixi Wang et al.
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
Qiushi Zhu, Jie Zhang, Yu Gu et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Qiang Liu et al.
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
Cong Wu, Xiao-Jun Wu, Josef Kittler et al.
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Zhaoxi Mu, Xinyu Yang, Sining Sun et al.
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Dong Wu, Mingmin Chi, Xuan Zang et al.
Sterling: Synergistic Representation Learning on Bipartite Graphs
Baoyu Jing, Yuchen Yan, Kaize Ding et al.
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
Samyadeep Basu, Shell Hu, Daniela Massiceti et al.
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning
Pritam Sarkar, Ali Etemad