2024 "self-supervised learning" Papers

NICP: Neural ICP for 3D Human Registration at Scale

Riccardo Marin, Enric Corona, Gerard Pons-Moll

Non-parametric Representation Learning with Kernels

Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.

Non-transferable Pruning

Ruyi Ding, Lili Su, A. Adam Ding et al.

OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation

Yuchen Che, Ryo Furukawa, Asako Kanezaki

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization

Jiayun Wang, Yubei Chen, Stella Yu

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

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

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.

Repoformer: Selective Retrieval for Repository-Level Code Completion

Di Wu, Wasi Ahmad, Dejiao Zhang et al.

Rethinking Graph Masked Autoencoders through Alignment and Uniformity

Liang Wang, Xiang Tao, Qiang Liu et al.

Revisiting Supervision for Continual Representation Learning

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

Kyle Lo, Jorg Peters, Eric Spellman

Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation

YAO YAO, Yixuan Pan, Wenjun Shi et al.

Scaling Down Deep Learning with MNIST-1D

Sam Greydanus, Dmitry Kobak

Scaling Speech Technology to 1,000+ Languages

Vineel Pratap Konduru, Andros Tjandra, Bowen Shi 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 Any-Point Tracking by Contrastive Random Walks

Ayush Shrivastava, Andrew Owens

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction

Zhaoxi Mu, Xinyu Yang, Sining Sun et al.

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

Hyunki Seong, Hyunchul Shim

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder

Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations

Paarth Neekhara, Shehzeen Hussain, Rafael Valle et al.

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

Snuffy: Efficient Whole Slide Image Classifier

Hossein Jafarinia, Alireza Alipanah, Saeed Razavi et al.

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

Dong Wu, Mingmin Chi, Xuan Zang et al.

Stereographic Spherical Sliced Wasserstein Distances

Huy Tran, Yikun Bai, Abihith Kothapalli et al.

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding et al.

Stochastic positional embeddings improve masked image modeling

Amir Bar, Florian Bordes, Assaf Shocher 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

The Entropy Enigma: Success and Failure of Entropy Minimization

Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Jiaxiang Dong, Haixu Wu, Yuxuan Wang et al.

Towards a Density Preserving Objective Function for Learning on Point Sets

Haritha Jayasinghe, Ioannis Brilakis

Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention

Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Yibing Wei, Abhinav Gupta, Pedro Morgado

TSLANet: Rethinking Transformers for Time Series Representation Learning

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen et al.

UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework

Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment

Haokun Gui, Xiucheng Li, Xinyang Chen

ViP: A Differentially Private Foundation Model for Computer Vision

Yaodong Yu, Maziar Sanjabi, Yi Ma et al.

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

Pritam Sarkar, Ali Etemad

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

che liu, Zhongwei Wan, Cheng Ouyang et al.