"self-supervised learning" Papers

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.

Assessing and Learning Alignment of Unimodal Vision and Language Models

Le Zhang, Qian Yang, Aishwarya Agrawal

Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations

Marcin Przewięźlikowski, Randall Balestriero, Wojciech Jasiński et al.

BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics

Lukas Rauch, Raphael Schwinger, Moritz Wirth et al.

Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning

Yang Chen, Yirun Zhou, Weizhong Zhang et al.

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders

Sizai Hou, Songze Li, Duanyi Yao

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax

Ivan Butakov, Alexander Semenenko, Alexander Tolmachev et al.

Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images

Tai Nguyen, Aref Azizpour, Matthew Stamm

Geometric Algorithms for Neural Combinatorial Optimization with Constraints

Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

YUJIE MO, Runpeng Yu, Xiaofeng Zhu et al.

Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings

Erel Naor, Ofir Lindenbaum

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

Vinam Arora, Divyansha Lachi, Ian Knight et al.

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning

Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion et al.

Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising

Feiran Li, Haiyang Jiang, Daisuke Iso

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds

Barza Nisar, Steven L. Waslander

Revisiting MAE Pre-training for 3D Medical Image Segmentation

Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko et al.

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning

Gyoung S. Na, Chanyoung Park

SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding

Yangliu Hu, Zikai Song, Na Feng et al.

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing

Yingying Zhang, Lixiang Ru, Kang Wu et al.

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning

Chuxin Wang, Yixin Zha, Wenfei Yang et al.

SyllableLM: Learning Coarse Semantic Units for Speech Language Models

Alan Baade, Puyuan Peng, David Harwath

TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras

Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski

The Computer Vision Foundation

Transformers without Normalization

Jiachen Zhu, Xinlei Chen, Kaiming He et al.

T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning

Julie Mordacq, David Loiseaux, Vicky Kalogeiton et al.

VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow

Yancong Lin, Shiming Wang, Liangliang Nan et al.

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

Supervised Learning

AND: Audio Network Dissection for Interpreting Deep Acoustic Models

Tung-Yu Wu, Yu-Xiang Lin, Lily Weng

Auto-Linear Phenomenon in Subsurface Imaging

Yinan Feng, Yinpeng Chen, Peng Jin et al.

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

Shuangrui Ding, Rui Qian, Haohang Xu et al.

Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning

Zhiyuan He, Yijun Yang, Pin-Yu Chen et al.

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains

Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho et al.

COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation

Liu He, Daniel Aliaga

Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach

Zhihao Li, Yufei Wang, Alex Kot et al.

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Zoe Piran, Michal Klein, James Thornton et al.

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.

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras

Emerging Property of Masked Token for Effective Pre-training

Hyesong Choi, Hunsang Lee, Seyoung Joung et al.

Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction

Pranav Singh Chib, Pravendra Singh

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

Pengfei Zhu, Qian Wang, Yu Wang et al.

Evolution-Inspired Loss Functions for Protein Representation Learning

Chengyue Gong, Adam Klivans, James Loy et al.

Feasibility Consistent Representation Learning for Safe Reinforcement Learning

Zhepeng Cen, Yihang Yao, Zuxin Liu et al.

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

Yiyue Chen, Haris Vikalo, Chianing Wang

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

Shusen Jing, Anlan Yu, Shuai Zhang et al.

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

Shu Yin, Peican Zhu, Lianwei Wu et al.

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

Luc Sträter, Mohammadreza Salehi, Efstratios Gavves et al.

Graph Contrastive Invariant Learning from the Causal Perspective

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