Papers
11,015 papers found
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy, Ali Etemad
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Nan Chen, Zemin Liu, Bryan Hooi et al.
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao et al.
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
Yanqin Jiang, Li Zhang, Jin Gao et al.
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch et al.
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
Zixi Wei, Senlin Shu, Yuzhou Cao et al.
Consistent Video-to-Video Transfer Using Synthetic Dataset
Jiaxin Cheng, Tianjun Xiao, Tong He
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
Wei Yao, Chengming Yu, Shangzhi Zeng et al.
Constrained Decoding for Cross-lingual Label Projection
Duong Minh Le, Yang Chen, Alan Ritter et al.
Constraint-Free Structure Learning with Smooth Acyclic Orientations
Riccardo Massidda, Francesco Landolfi, Martina Cinquini et al.
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi YAO, Songze Li, Ye XUE et al.
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald Guenther Junkins et al.
Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz et al.
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
Elisa Kreiss, Eric Zelikman, Christopher Potts et al.
Contextual Bandits with Online Neural Regression
Rohan Deb, Yikun Ban, Shiliang Zuo et al.
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee, Sangwon Jung, Taesup Moon
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem et al.
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Xihaier Luo, Wei Xu, Balu Nadiga et al.
Continuous Invariance Learning
LIN Yong, Fan Zhou, Lu Tan et al.
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou et al.
Contrastive Difference Predictive Coding
Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach
Contrastive Learning is Spectral Clustering on Similarity Graph
Zhiquan Tan, Yifan Zhang, Jingqin Yang et al.