Poster Papers
24,624 papers found • Page 422 of 493
Conference
Navigating Text-to-Image Generative Bias across Indic Languages
Surbhi Mittal, Arnav Sudan, MAYANK VATSA et al.
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Tuan Le, Julian Cremer, Frank Noe et al.
Navigation Instruction Generation with BEV Perception and Large Language Models
Sheng Fan, Rui Liu, Wenguan Wang et al.
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
Minh-Tuan Tran, Trung Le, Xuan-May Le et al.
NB-GTR: Narrow-Band Guided Turbulence Removal
Yifei Xia, Chu Zhou, Chengxuan Zhu et al.
NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation
Ziyi Chen, Xiaolong Wu, Yu Zhang
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
Boheng Li, Yishuo Cai, Haowei Li et al.
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba, Dylan Green, Saeid Naderiparizi et al.
Near-Linear Time Approximation Algorithms for k-means with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang et al.
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
Hao Wang, Chenyi Zhang, Tongyang Li
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
Dan Qiao, Yu-Xiang Wang
Near-Optimal Solutions of Constrained Learning Problems
Juan Elenter, Luiz Chamon, Alejandro Ribeiro
NEAT: Distilling 3D Wireframes from Neural Attraction Fields
Nan Xue, Bin Tan, Yuxi Xiao et al.
NECA: Neural Customizable Human Avatar
Junjin Xiao, Qing Zhang, Zhan Xu et al.
NECO: NEural Collapse Based Out-of-distribution detection
Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu et al.
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Neel Jain, Ping-yeh Chiang, Yuxin Wen et al.
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
Ziqi Wang, Chengpeng Hu, Jialin Liu et al.
Neighboring Perturbations of Knowledge Editing on Large Language Models
Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang et al.
Neighbor Relations Matter in Video Scene Detection
Jiawei Tan, Hongxing Wang, Jiaxin Li et al.
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis
Zinuo You, Andreas Geiger, Anpei Chen
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
Lin Tian, Thomas H Greer, Raul San Jose Estepar et al.
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc et al.
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
Sicheng Li, Hao Li, Yiyi Liao et al.
NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
Zhenggang Tang, Jason Ren, Xiaoming Zhao et al.
NeRF Director: Revisiting View Selection in Neural Volume Rendering
Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal et al.
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
Jiahao Chen, Yipeng Qin, Lingjie Liu et al.
NeRFiller: Completing Scenes via Generative 3D Inpainting
Ethan Weber, Aleksander Holynski, Varun Jampani et al.
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren, Zihan Zhu, Boyang Sun et al.
NeRF-XL: NeRF at Any Scale with Multi-GPU
Ruilong Li, Sanja Fidler, Angjoo Kanazawa et al.
NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction
Dong Wei, Huaijiang Sun, Xiaoning Sun et al.
NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images
Yufei Han, Heng Guo, Koki Fukai et al.
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.
NetTrack: Tracking Highly Dynamic Objects with a Net
Guangze Zheng, Shijie Lin, Haobo Zuo et al.
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
Edouard YVINEC, Arnaud Dapogny, Kevin Bailly
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu et al.
Neur2RO: Neural Two-Stage Robust Optimization
Justin Dumouchelle, Esther Julien, Jannis Kurtz et al.
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes
Haobin Duan, Miao Wang, Yanxun Li et al.
Neural Active Learning Beyond Bandits
Yikun Ban, Ishika Agarwal, Ziwei Wu et al.
Neural Architecture Retrieval
Xiaohuan Pei, Yanxi Li, Minjing Dong et al.
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li, Zhanke Zhou, Jiangchao Yao et al.
Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi et al.
Neural Clustering based Visual Representation Learning
Guikun Chen, Xia Li, Yi Yang et al.
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
Hien Dang, Tho Tran Huu, Tan Nguyen et al.
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang et al.
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
Neural Common Neighbor with Completion for Link Prediction
Xiyuan Wang, Haotong Yang, Muhan Zhang
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth