Poster Papers
24,624 papers found • Page 431 of 493
Conference
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha (Jon) Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Ming Hu, Peng Xia, Lin Wang et al.
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
Yuchen Pan, Junjun Jiang, Kui Jiang et al.
Optimal Batched Linear Bandits
Xuanfei Ren, Tianyuan Jin, Pan Xu
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
Alexander Munteanu, Simon Omlor
Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
Keita Suzuki, Taiji Suzuki
Optimal Differentially Private Model Training with Public Data
Andrew Lowy, Zeman Li, Tianjian Huang et al.
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
Haixiao Wang, Zhichao Wang
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
Avrajit Ghosh, Xitong Zhang, Kenneth Sun et al.
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Feihu Huang
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu et al.
Optimally Improving Cooperative Learning in a Social Setting
Shahrzad Haddadan, Cheng Xin, Jie Gao
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess et al.
Optimal Sample Complexity for Average Reward Markov Decision Processes
Shengbo Wang, Jose Blanchet, Peter Glynn
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
Yi Li, Honghao Lin, David Woodruff
Optimal Transport Aggregation for Visual Place Recognition
Sergio Izquierdo, Javier Civera
Optimal transport based adversarial patch to leverage large scale attack transferability
Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin et al.
Optimal Transport for Structure Learning Under Missing Data
Vy Vo, He Zhao, Trung Le et al.
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data
Xiaofan Que, Qi Yu
Optimistic Bayesian Optimization with Unknown Constraints
Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song et al.
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao, Yi Zhao, Zhiyuan Li et al.
Optimization-based Uncertainty Attribution Via Learning Informative Perturbations
Hanjing Wang, Bashirul Azam Biswas, Qiang Ji
Optimization without Retraction on the Random Generalized Stiefel Manifold
Simon Vary, Pierre Ablin, Bin Gao et al.
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun et al.
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan et al.
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition
Shreyank Narayana Gowda, Anurag Arnab, Jonathan Huang
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging
Mahmoud Afifi, Zhenhua Hu, Liang Liang
Optimizing Watermarks for Large Language Models
Bram Wouters
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan et al.
Orbit-Equivariant Graph Neural Networks
Matthew Morris, Bernardo Grau, Ian Horrocks
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Hongwei Yan, Liyuan Wang, Kaisheng Ma et al.
Order-Preserving GFlowNets
Yihang Chen, Lukas Mauch
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
Geng Xinyu, Jiaming Wang, Jiawei Gong et al.
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
Kaizhao Liu, Jose Blanchet, Lexing Ying et al.
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration
Opher Bar Nathan, Deborah Steinberger-Levy, Tali Treibitz et al.
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
Ziyang Song, Jinxi Li, Bo Yang
Osprey: Pixel Understanding with Visual Instruction Tuning
Yuqian Yuan, Wentong Li, Jian liu et al.
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng, Shibal Ibrahim, Kayhan Behdin et al.
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
Tongjia Chen, Hongshan Yu, Zhengeng Yang et al.
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
Liangliang Shi, Jack Fan, Junchi Yan
OTE: Exploring Accurate Scene Text Recognition Using One Token
Jianjun Xu, Yuxin Wang, Hongtao Xie et al.
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan, Kaipeng Zheng, Weiran Huang
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
Kwanyoung Kim, Yujin Oh, Jong Chul Ye
Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)
Marko Savic, Guoying Zhao
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
Yuexiao Ma, Huixia Li, Xiawu Zheng et al.
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo et al.
Outlier-robust Kalman Filtering through Generalised Bayes
Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff et al.
Outlier-Robust Subsampling Techniques for Persistent Homology
Bernadette J. Stolz