Poster Papers
24,624 papers found • Page 424 of 493
Conference
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
Jicong Fan, Rui Chen, Zhao Zhang et al.
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
Jingyang Huo, Yikai Wang, Yanwei Fu et al.
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal, Arya Grayeli, Jennifer Sun et al.
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji et al.
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
Ruikai Cui, Weizhe Liu, Weixuan Sun et al.
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
Ido Amos, Jonathan Berant, Ankit Gupta
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
Jorg Bornschein, Alexandre Galashov, Ross Hemsley et al.
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Laber
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Xinzhe Yuan, William de Vazelhes, Bin Gu et al.
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
Haofan Lu, Christopher Vattheuer, Baharan Mirzasoleiman et al.
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
Hongcheng Liu, Jindong Tong
NExT-Chat: An LMM for Chat, Detection and Segmentation
Ao Zhang, Yuan Yao, Wei Ji et al.
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu et al.
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni, Miltiadis Allamanis, Arman Cohan et al.
NfgTransformer: Equivariant Representation Learning for Normal-form Games
SIQI LIU, Luke Marris, Georgios Piliouras et al.
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis
Yubin Hu, Xiaoyang Guo, Yang Xiao et al.
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning
Mustafa B Gurbuz, Jean Moorman, Constantine Dovrolis
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
Nilesh Kulkarni, Davis Rempe, Kyle Genova et al.
NightCC: Nighttime Color Constancy via Adaptive Channel Masking
Shuwei Li, Robby T. Tan
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation
Vikas Thamizharasan, Difan Liu, Matthew Fisher et al.
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model
Zhongqun Zhang, Hengfei Wang, Ziwei Yu et al.
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
Hao Xiong, Yehui Tang, Yunlin He et al.
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
Daniel Gedon, Antonio Ribeiro, Thomas Schön
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar, Kevin Luo, Mark Sellke
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
Kwang-Sung Jun, Jungtaek Kim
Noise-assisted Prompt Learning for Image Forgery Detection and Localization
Dong Li, Jiaying Zhu, Xueyang Fu et al.
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi, Yaoliang Yu, YANG CAO
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang, Haoxin Chen, Yong Zhang et al.
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
Yusuf Dalva, Pinar Yanardag
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
Takahiro Shirakawa, Seiichi Uchida
Noise-free Score Distillation
Oren Katzir, Or Patashnik, Daniel Cohen-Or et al.
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
Hansam Cho, Jonghyun Lee, Seoung Bum Kim et al.
Noisy-Correspondence Learning for Text-to-Image Person Re-identification
Yang Qin, Yingke Chen, Dezhong Peng et al.
Noisy One-point Homographies are Surprisingly Good
Yaqing Ding, Jonathan Astermark, Magnus Oskarsson et al.
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Yu-Ju Tsai, Jin-Cheng Jhang, JINGJING ZHENG et al.
Non-autoregressive Sequence-to-Sequence Vision-Language Models
Kunyu Shi, Qi Dong, Luis Goncalves et al.
Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet
Non-confusing Generation of Customized Concepts in Diffusion Models
Wang Lin, Jingyuan CHEN, Jiaxin Shi et al.
Non-convex Stochastic Composite Optimization with Polyak Momentum
Yuan Gao, Anton Rodomanov, Sebastian Stich
Non-Exchangeable Conformal Risk Control
António Farinhas, Chrysoula Zerva, Dennis Ulmer et al.
Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration
Qiang Wang, Yuhang He, Songlin Dong et al.
Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah, Niyizhen Jin, Bamdad Hosseini et al.
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers
Javier Grau Chopite, Patrick Hähn, Matthias B Hullin
Non-negative Contrastive Learning
Yifei Wang, Qi Zhang, Yaoyu Guo et al.
Non-parametric Online Change Point Detection on Riemannian Manifolds
Xiuheng Wang, Ricardo Borsoi, Cédric Richard
Non-parametric Sensor Noise Modeling and Synthesis
Ali Mosleh, Luxi Zhao, Atin Vikram Singh et al.
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang, Steven T. S. Luo, Jason Chun Lok Li et al.