All Papers
34,598 papers found • Page 552 of 692
Conference
Implicit Steganography Beyond the Constraints of Modality
Sojeong Song, Seoyun Yang, Chang Yoo et al.
Implicit Style-Content Separation using B-LoRA
Yarden Frenkel, Yael Vinker, Ariel Shamir et al.
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
Yizhi Song, Zhifei Zhang, Zhe Lin et al.
Improved Active Learning via Dependent Leverage Score Sampling
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco et al.
Improved algorithm and bounds for successive projection
Jiashun Jin, Tracy Ke, Gabriel Moryoussef et al.
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Liyang Zhu, Meng Ding, Vaneet Aggarwal et al.
Improved Anonymous Multi Agent Path Finding Algorithm
Zain Alabedeen Ali, Konstantin Yakovlev
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
Fang Kong, Shuai Li
Improved baselines for vision-language pre-training
Jakob Verbeek, Enrico Fini, Michal Drozdzal et al.
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li et al.
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li, Wei Wang, Peng Ye
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
Wei-Ning Chen, Berivan Isik, Peter Kairouz et al.
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements
Naman Agarwal, Satyen Kale, Karan Singh et al.
Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
Weijia Shao
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
Jiayang Liu, Yiming Bu, Daniel Tso et al.
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian, Aviv Navon, David Zhang et al.
Improved Graph Contrastive Learning for Short Text Classification
Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.
Improved Implicit Neural Representation with Fourier Reparameterized Training
Kexuan Shi, Xingyu Zhou, Shuhang Gu
Improved Metric Distortion via Threshold Approvals
Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
Jonathan Scott, Aine E Cahill
Improved Operator Learning by Orthogonal Attention
Zipeng Xiao, Zhongkai Hao, Bokai Lin et al.
Improved Probabilistic Image-Text Representations
Sanghyuk Chun
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
Jiechao GUAN, Hui Xiong
Improved sampling via learned diffusions
Lorenz Richter, Julius Berner
Improved Self-Training for Test-Time Adaptation
Jing Ma
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
Batiste Le Bars, Aurélien Bellet, Marc Tommasi et al.
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki et al.
Improved Techniques for Training Consistency Models
Yang Song, Prafulla Dhariwal
Improved Visual Grounding through Self-Consistent Explanations
Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang et al.
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, Grant Horn, Subhransu Maji
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
Buqing Nie, Jingtian Ji, Yangqing Fu et al.
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Yuanwen Yue, Anurag Das, Francis Engelmann et al.
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul, Zachary Patterson, Nizar Bouguila
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang, Feng Liu, Dawei Zhou et al.
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
Improving Adversarial Transferability via Model Alignment
Avery Ma, Amir-massoud Farahmand, Yangchen Pan et al.
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Zhenghao Peng, Wenjie Luo, Yiren Lu et al.
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic et al.
Improving Audio-Visual Segmentation with Bidirectional Generation
Dawei Hao, Yuxin Mao, Bowen He et al.
Improving Automatic VQA Evaluation Using Large Language Models
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
Tianhao Zhao, Yongcan Chen, Yu Wu et al.
Improving Computational Complexity in Statistical Models with Local Curvature Information
Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo et al.
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
Wei Li, Hehe Fan, Yongkang Wong et al.
Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao, Robert M. Gower, Robin Walters et al.
Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning
Zhiyue Liu, Jinyuan Liu, Fanrong Ma
Improving Depth Completion via Depth Feature Upsampling
Yufei Wang, Ge Zhang, Shaoqian Wang et al.
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
Qiqi Bao, Zheng Hui, Rui Zhu et al.
Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Choi Yisol, Sangkyung Kwak, Kyungmin Lee et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng, Ziyang Zheng, Wenrui Dai et al.
Improving Distant 3D Object Detection Using 2D Box Supervision
Zetong Yang, Zhiding Yu, Christopher Choy et al.