Papers
11,955 papers found
Neural Polynomial Gabor Fields for Macro Motion Analysis
Chen Geng, Hong-Xing Yu, Sida Peng et al.
Neural Processing of Tri-Plane Hybrid Neural Fields
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini et al.
Neural Rate Control for Learned Video Compression
Yiwei Zhang, Guo Lu, Yunuo Chen et al.
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes
Wei Mao, Richard Hartley, Mathieu Salzmann et al.
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde, Anastasis Kratsios
Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan
Neural structure learning with stochastic differential equations
Benjie Wang, Joel Jennings, Wenbo Gong
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang et al.
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
Wenxi Wang, Yang Hu, Mohit Tiwari et al.
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe S Canzano et al.
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta et al.
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yibing Liu, Chris XING TIAN, Haoliang Li et al.
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
Jicong Fan, Rui Chen, Zhao Zhang et al.
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal, Arya Grayeli, Jennifer J. Sun et al.
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji et al.
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
Ido Amos, Jonathan Berant, Ankit Gupta
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.
NfgTransformer: Equivariant Representation Learning for Normal-form Games
Siqi Liu, Luke Marris, Georgios Piliouras et al.
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
Hao Xiong, Yehui Tang, Yunlin He et al.
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
PengFei Zheng, Yonggang Zhang, Zhen Fang et al.
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 Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
NOLA: Compressing LoRA using Linear Combination of Random Basis
Soroush Abbasi Koohpayegani, Navaneet K L, Parsa Nooralinejad et al.