Papers
11,955 papers found
Image Translation as Diffusion Visual Programmers
Cheng Han, James Chenhao Liang, Qifan Wang et al.
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu, Weijun Dong, Yingdong Hu et al.
ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images
Timing Yang, Yuanliang Ju, Li Yi
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Zihan Wang, Arthur Jacot
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman et al.
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
Gianluca Bencomo, Jake Snell, Thomas L. Griffiths
Implicit Neural Models to Extract Heart Rate from Video
Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Implicit Neural Representations and the Algebra of Complex Wavelets
T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop et al.
Implicit regularization of deep residual networks towards neural ODEs
Pierre Marion, Yu-Han Wu, Michael Eli Sander et al.
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
Ilya Shenbin, Sergey Nikolenko
Implicit Steganography Beyond the Constraints of Modality
Sojeong Song, Seoyun Yang, Chang D. Yoo et al.
Improved Active Learning via Dependent Leverage Score Sampling
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco et al.
Improved algorithm and bounds for successive projection
Jiashun Jin, Tracy Ke, Gabriel Moryoussef et al.
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Liyang Zhu, Meng Ding, Vaneet Aggarwal et al.
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
Jiayang Liu, Yiming Bu, Daniel Tso et al.
Improved Probabilistic Image-Text Representations
Sanghyuk Chun
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
Jiechao Guan, Hui Xiong
Improved sampling via learned diffusions
Lorenz Richter, Julius Berner
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki et al.
Improved Techniques for Training Consistency Models
Yang Song, Prafulla Dhariwal
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Shiji Zhao, Ranjie Duan, Xizhe Wang et al.
Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao, Robert M. Gower, Robin Walters et al.