"contrastive learning" Papers
308 papers found • Page 1 of 7
Conference
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
Yangshi Ge, Yiwei Bao, Feng Lu
AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
Wenyu Zhu, Jianhui Wang, Bowen Gao et al.
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.
Active Data Curation Effectively Distills Large-Scale Multimodal Models
Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem et al.
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong et al.
Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
Qiyuan Dai, Hanzhuo Huang, Yu Wu et al.
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian et al.
Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
Hua Ye, Hang Ding, Siyuan Chen et al.
Aligning Visual Contrastive learning models via Preference Optimization
Amirabbas Afzali, Borna khodabandeh, Ali Rasekh et al.
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
Bin Rao, Haicheng Liao, Yanchen Guan et al.
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Saleh Momeni, Changnan Xiao, Bing Liu
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
Hulingxiao He, Geng Li, Zijun Geng et al.
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
Jiawei Huang, Hu Ding
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer
Jin Lyu, Tianyi Zhu, Yi Gu et al.
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Prakash Chandra Chhipa, Gautam Vashishtha, Jithamanyu Settur et al.
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
Yu Huang, Zixin Wen, Yuejie Chi et al.
A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann et al.
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Sam Bright-Thonney, Christina Reissel, Gaia Grosso et al.
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Pengcheng Jiang, Cao Xiao, Tianfan Fu et al.
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
Xiaobin Liu, Jianing Li, Baiwei Guo et al.
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
Yonghao Liu, Mengyu Li, Wei Pang et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Wenbo Zhang, Lu Zhang, Ping Hu et al.
Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
Hanbin Ko, Chang Min Park
C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang et al.
Captured by Captions: On Memorization and its Mitigation in CLIP Models
Wenhao Wang, Adam Dziedzic, Grace Kim et al.
CAVIS: Context-Aware Video Instance Segmentation
Seunghun Lee, Jiwan Seo, Kiljoon Han et al.
CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment
Edson Araujo, Andrew Rouditchenko, Yuan Gong et al.
CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
MingYu Lu, Ethan Weinberger, Chanwoo Kim et al.
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
ZeMing Gong, Austin Wang, Xiaoliang Huo et al.
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
Yating Liu, Yujie Zhang, Ziyu Shan et al.
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal, Max van Spengler, Guido D'Amely di Melendugno et al.
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
Zhixin Li, Yuheng Jia
Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
Dahun Kim, Anelia Angelova
Context-Aware Multimodal Pretraining
Karsten Roth, Zeynep Akata, Dima Damen et al.
ContraDiff: Planning Towards High Return States via Contrastive Learning
Yixiang Shan, Zhengbang Zhu, Ting Long et al.
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep, Nikhil Singh
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
Jiawei Sun, Shuai Zhang, Hongkang Li et al.
Contrastive Representation for Interactive Recommendation
Jingyu Li, Zhiyong Feng, Dongxiao He et al.
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser Khalil, Mehdi Setayesh, Hongliang Li
Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method
Han Wang, Shengyang Li, Jian Yang et al.
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci et al.
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
Mingyuan Li, Tong Jia, Hao Wang et al.
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset
Xiao Wang, Fuling Wang, Yuehang Li et al.
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
Yifan WANG, Hongfeng Ai, ruiqi li et al.