Poster "contrastive learning" Papers
216 papers found • Page 4 of 5
Conference
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang et al.
Do Generated Data Always Help Contrastive Learning?
Yifei Wang, Jizhe Zhang, Yisen Wang
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Qinji Yu, Yirui Wang, Ke Yan et al.
Efficient Vision-Language Pre-training by Cluster Masking
Zihao Wei, Zixuan Pan, Andrew Owens
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho et al.
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
Florian Langer, Jihong Ju, Georgi Dikov et al.
Federated Generalized Category Discovery
Nan Pu, Wenjing Li, Xinyuan Ji et al.
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning
Saandeep Aathreya, Shaun Canavan
FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors
Chen-Wei Xie, Siyang Sun, Liming Zhao et al.
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
Shiyue Zhang, Zheng Chong, Xujie Zhang et al.
GenN2N: Generative NeRF2NeRF Translation
Xiangyue Liu, Han Xue, Kunming Luo et al.
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
Chengyao Wang, Li Jiang, Xiaoyang Wu et al.
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran, Peirong Ma, Zhiquan He et al.
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai et al.
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang et al.
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian, Aviv Navon, David Zhang et al.
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul, Zachary Patterson, Nizar Bouguila
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic et al.
Improving fine-grained understanding in image-text pre-training
Ioana Bica, Anastasija Ilic, Matthias Bauer et al.
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar, Pekka Marttinen
Information Flow in Self-Supervised Learning
Zhiquan Tan, Jingqin Yang, Weiran Huang et al.
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
jiha jang, Hoigi Seo, Se Young Chun
Iterated Learning Improves Compositionality in Large Vision-Language Models
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi et al.
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Yuyuan Liu, Yuanhong Chen, Hu Wang et al.
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation
Haoyu Ji, Bowen Chen, Xinglong Xu et al.
Language-Image Pre-training with Long Captions
Kecheng Zheng, Yifei Zhang, Wei Wu et al.
Language Models as Semantic Indexers
Bowen Jin, Hansi Zeng, Guoyin Wang et al.
Latent Guard: a Safety Framework for Text-to-image Generation
Runtao Liu, Ashkan Khakzar, Jindong Gu et al.
Learning Natural Consistency Representation for Face Forgery Video Detection
Daichi Zhang, Zihao Xiao, Shikun Li et al.
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang, Xiang Lan, Xiaoye Qu et al.
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment
Yuxiao Chen, Kai Li, Wentao Bao et al.
Low-Rank Similarity Mining for Multimodal Dataset Distillation
Yue Xu, Zhilin Lin, Yusong Qiu et al.
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin et al.
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
Anurag Das, Xinting Hu, Li Jiang et al.
Open-World Human-Object Interaction Detection via Multi-modal Prompts
Jie Yang, Bingliang Li, Ailing Zeng et al.
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
Han Fu, Jian Tan, Pinhan Zhang et al.
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Fahim Tajwar, Anikait Singh, Archit Sharma et al.
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani et al.
Region-centric Image-Language Pretraining for Open-Vocabulary Detection
Dahun Kim, Anelia Angelova, Weicheng Kuo
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha, Kyunghyun Cho, Taesup Moon
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao, Minsi Ren, Yuyan Ni et al.
Revealing Vision-Language Integration in the Brain with Multimodal Networks
Vighnesh Subramaniam, Colin Conwell, Christopher Wang et al.
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Kaiwen Cai, ZheKai Duan, Gaowen Liu et al.
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
Rahul Thapa, Bryan He, Magnus Ruud Kjaer et al.