Oral "self-supervised learning" Papers
15 papers found
Conference
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight et al.
NEURIPS 2025oralarXiv:2512.01199
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Berken Utku Demirel, Christian Holz
NEURIPS 2025oralarXiv:2510.22655
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
Hao Zhang, Zhan Zhuang, Xuehao Wang et al.
NEURIPS 2025oralarXiv:2505.20744
3
citations
Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
Peidong Li, Dixiao Cui
ICLR 2025oralarXiv:2409.18341
24
citations
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa, Makoto Yamada, Han Bao et al.
ICLR 2025oralarXiv:2405.14650
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Ruiqi Ni, zherong pan, Ahmed Hussain Qureshi
ICLR 2025oralarXiv:2505.05691
2
citations
Self-supervised contrastive learning performs non-linear system identification
Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider
ICLR 2025oralarXiv:2410.14673
4
citations
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
Chenxu Wu, Qingpeng Kong, Zihang Jiang et al.
ICLR 2025oralarXiv:2501.13514
5
citations
STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
Jiawei Yang, Jiahui Huang, Boris Ivanovic et al.
ICLR 2025oralarXiv:2501.00602
25
citations
Token Bottleneck: One Token to Remember Dynamics
Taekyung Kim, Dongyoon Han, Byeongho Heo et al.
NEURIPS 2025oralarXiv:2507.06543
1
citations
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
Pranav Singh Chib, Pravendra Singh
ICML 2024oral
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong, Hyunchul Shim
ICML 2024oralarXiv:2403.18947
3
citations
Soft Contrastive Learning for Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee
ICLR 2024oralarXiv:2312.16424
52
citations
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
Jiaxiang Dong, Haixu Wu, Yuxuan Wang et al.
ICML 2024oralarXiv:2402.02475
21
citations
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen et al.
ICML 2024oralarXiv:2404.08472
127
citations