Papers
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction
Sankeerth Durvasula, Sharanshangar Muhunthan, Zain Moustafa et al.
CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation
Weilong Dong, Xinwei Wu, Renren Jin et al.
Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text Classifiers
Sungmin Han, Jeonghyun Lee, Sangkyun Lee
Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis
Kaiyi Zheng, Mu Huang, Xinming Li et al.
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
Lu Chen, Shaofeng Li, Benhao Huang et al.
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
Daniel Scholz, Ayhan Can Erdur, Robbie Holland et al.
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
Wei Du, Hongmin Sun, Hang Gao et al.
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
Wenkang Han, Wang Lin, Liya Hu et al.
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
Jannek Ulm, Kevin Du, Vésteinn Snæbjarnarson
Contrastive Disentanglement Learning Framework for Multi-lead Wearable ECG Denoising
Yue Zhang, Chenyu Zhao, Wen Zhang et al.
Contrastive Flow Matching
George Stoica, Vivek Ramanujan, Xiang Fan et al.
Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots
Yangqing Fu, Yang Zhang, Qiyue Yang et al.
Contrastive Functional Principal Component Analysis
Eric Zhang, Didong Li
Contrastive Knowledge-Guided Large Language Models for Medical Report Generation
Yuyang Sha, Hongxin Pan, Weiyu Meng et al.
Contrastive Learning for Task-Independent SpeechLLM-Pretraining
Maike Züfle, Jan Niehues
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep, Nikhil Singh
Contrastive Learning of Image Representations Guided by Spatial Relations
Logan Servant, Michaël Clément, Laurent Wendling et al.
Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing
Peiming Guo, Meishan Zhang, Jianling Li et al.
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
Anastasia Zhukova, Jonas Lührs, Christian E. Lobmüller et al.
Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
Huang Liang, Benedict Lee, Daniel Hui Loong Ng et al.
Contrastive Localized Language-Image Pre-Training
Hong-You Chen, Zhengfeng Lai, Haotian Zhang et al.
Contrastive Masked Video Modeling for Coronary Angiography Diagnosis
Zhiming Shao, Yingqian Zhang, Zechen Wei et al.
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
Qianqian Wang, Zihao Zhang, Wei Feng et al.
Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction
Thomas Li, Lianrui Zuo, Yihao Liu et al.