Papers
11,015 papers found
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
$i$-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
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.
Active Contrastive Learning of Audio-Visual Video Representations
Shuang Ma, Zhaoyang Zeng, Daniel McDuff et al.
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Yue Meng, Rameswar Panda, Chung-Ching Lin et al.
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun, Zhanxing Zhu, Zhouchen Lin
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh et al.
Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann, John Thangarajah
Adaptive and Generative Zero-Shot Learning
Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games
Kimon Antonakopoulos, Veronica Belmega, Panayotis Mertikopoulos
Adaptive Federated Optimization
Sashank J. Reddi, Zachary Charles, Manzil Zaheer et al.
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang, Yuke Zhu, Silvio Savarese et al.
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien, Jianhao Peng, Pan Li et al.
AdaSpeech: Adaptive Text to Speech for Custom Voice
Mingjian Chen, Xu Tan, Bohan Li et al.