Papers
11,951 papers found
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
Changchun Li, Ximing Li, Lei Feng et al.
Why neural networks find simple solutions: The many regularizers of geometric complexity
Benoit Dherin, Michael Munn, Mihaela Rosca et al.
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang, Jiarui Jin, Weinan Zhang et al.
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
Franziska Geiger, Martin Schrimpf, Tiago Marques et al.
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen et al.
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli et al.
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang, Xinyang Chen, Jianmin Wang et al.
XRP: In-Kernel Storage Functions with eBPF
Yuhong Zhong, Haoyu Li, Yu Jian Wu et al.
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien, Chao Pan, Jianhao Peng et al.
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Osama Makansi, Julius Von Kügelgen, Francesco Locatello et al.
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Shaofeng Zhang, Feng Zhu, Junchi Yan et al.
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao et al.
Zero Pixel Directional Boundary by Vector Transform
Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu et al.
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akcakaya
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang, Huan Xiong, Bin Gu
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee, Yian Zhu, Kihyuk Sohn et al.
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
Samuel Horváth, Peter Richtarik
A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone et al.
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Wei Deng, Qi Feng, Georgios P. Karagiannis et al.
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek, Minki Kang, Sung Ju Hwang
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang, Minghong Fang, Jia Liu
Acquisition of Prosodic Focus Marking by Three- to Six-Year-Old Children Learning Mandarin Chinese
Qianyutong Zhang, Kexin Lyu, Zening Chen et al.
A Critique of Self-Expressive Deep Subspace Clustering
Benjamin David Haeffele, Chong You, Rene Vidal
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman, Gal Dalal, Shie Mannor
Activation-level uncertainty in deep neural networks
Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina et al.