Paper Papers
5,546 papers found • Page 95 of 111
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
Yibo Wang, Wenhao Yang, Wei Jiang et al.
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
Dianyu Zhong, Yiqin Yang, Qianchuan Zhao
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
Liang Li, Qingyuan Li, Bo Zhang et al.
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He, Kai Li, Yifan Zang et al.
Novel Class Discovery in Chest X-rays via Paired Images and Text
Jiaying Zhou, Yang Liu, Qingchao Chen
Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning
Simon Dold, Malte Helmert
Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction
Jiacheng Chen, Jiawei Jiang, Fei Wu et al.
NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving
Tianwen Qian, Jingjing Chen, Linhai Zhuo et al.
O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Yubin Hu, Sheng Ye, Wang Zhao et al.
Object Attribute Matters in Visual Question Answering
Peize Li, Qingyi Si, Peng Fu et al.
Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering
Zhangbin Li, Jinxing Zhou, Dan Guo et al.
Object-Aware Domain Generalization for Object Detection
WooJu Lee, Dasol Hong, Hyungtae Lim et al.
Occluded Person Re-identification via Saliency-Guided Patch Transfer
821 Lei Tan, Jiaer Xia, Wenfeng Liu et al.
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
Fan Wu, Rui Zhang, Qi Yi et al.
OctOcc: High-Resolution 3D Occupancy Prediction with Octree
Wenzhe Ouyang, Xiaolin Song, Bailan Feng et al.
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Offline and Online Optical Flow Enhancement for Deep Video Compression
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li et al.
Offline Model-Based Optimization via Policy-Guided Gradient Search
Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.
Omnidirectional Image Super-resolution via Bi-projection Fusion
Jiangang Wang, Yuning Cui, Yawen Li et al.
Omni-Kernel Network for Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:
Peijun Bao, Zihao Shao, Wenhan Yang et al.
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles
Marcus Gozon, Jingjin Yu
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
Jiayi Chen, Aidong Zhang
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
Bohan Li, Yasheng Sun, Jingxin Dong et al.
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Mikołaj Małkiński, Jacek Mańdziuk
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
Wang Zhang, Ziwen Martin Ma, Subhro Das et al.
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma, Yuee Zhou, Jianlun Ma et al.
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
Ziqiao Ao, Jinglai Li
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu, Jie Lu, Bin Zhang et al.
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
Qiming Liu, Xiang Ao, Yuyao Guo et al.
Online Markov Decision Processes Configuration with Continuous Decision Space
Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi et al.
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li
Online Sensitivity Optimization in Differentially Private Learning
8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta
Online Submodular Maximization via Online Convex Optimization
Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Xiaobao Wu, Fengjun Pan, Thong Nguyen et al.
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Songtuan Lin, Conny Olz, Malte Helmert et al.
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
Sheng Long, Wei Tao, Shuohao LI et al.
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
Brian Zhang, Tuomas Sandholm
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
Qihua Zhou, Jingcai Guo, Song Guo et al.
On the Role of Server Momentum in Federated Learning
Jianhui Sun, Xidong Wu, Heng Huang et al.
On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?
Markus Hecher, Rafael Kiesel
On the Unstable Convergence Regime of Gradient Descent
Shuo Chen, Jiaying Peng, Xiaolong Li et al.