Papers
Continuous Parametric Optical Flow
Jianqin Luo, Zhexiong Wan, yuxin mao et al.
Continuous-time Analysis of Anchor Acceleration
Jaewook Suh, Jisun Park, Ernest Ryu
Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi et al.
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen et al.
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang, Yu Han, Haishuai Wang et al.
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Yash Bhalgat, Iro Laina, João F. Henriques et al.
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Siming Lan, Rui Zhang, Qi Yi et al.
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
Xinyuan Cao, Santosh Vempala
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
Chen Sun, Wannan Yang, Thomas Jiralerspong et al.
Contrastive Sampling Chains in Diffusion Models
Junyu Zhang, Daochang Liu, Shichao Zhang et al.
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie et al.
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng et al.
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
Yipeng Li, Xinchen Lyu
Convergence of Actor-Critic with Multi-Layer Neural Networks
Haoxing Tian, Alex Olshevsky, Yannis Paschalidis
Convergence of Adam Under Relaxed Assumptions
Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
Convergence of Alternating Gradient Descent for Matrix Factorization
Rachel Ward, Tamara Kolda
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
Taiji Suzuki, Denny Wu, Atsushi Nitanda
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire et al.
Convex and Non-convex Optimization Under Generalized Smoothness
Haochuan Li, Jian Qian, Yi Tian et al.
Convex-Concave Zero-Sum Markov Stackelberg Games
Denizalp Goktas, Arjun Prakash, Amy Greenwald
Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonic, Roberto Molinaro, Tim De Ryck et al.
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy Smith, Shalini De Mello, Jan Kautz et al.
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Convolution Monge Mapping Normalization for learning on sleep data
Théo Gnassounou, Rémi Flamary, Alexandre Gramfort