Papers
11,951 papers found
Pruned Graph Scattering Transforms
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Yurong You, Yan Wang, Wei-Lun Chao et al.
Pure and Spurious Critical Points: a Geometric Study of Linear Networks
Matthew Trager, Kathlén Kohn, Joan Bruna
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
Yuanhao Wang, Kefan Dong, Xiaoyu Chen et al.
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
Mingrui Zhang, Lin Chen, Aryan Mokhtari et al.
Quantum Algorithms for Deep Convolutional Neural Networks
Iordanis Kerenidis, Jonas Landman, Anupam Prakash
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings
Hongyu Ren*, Weihua Hu*, Jure Leskovec
Query-efficient Meta Attack to Deep Neural Networks
Jiawei Du, Hu Zhang, Joey Tianyi Zhou et al.
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
Sam Lobel*, Chunyuan Li*, Jianfeng Gao et al.
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
Lucas Mentch, Siyu Zhou
Ranking Policy Gradient
Kaixiang Lin, Jiayu Zhou
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio et al.
RaPP: Novelty Detection with Reconstruction along Projection Pathway
Ki Hyun Kim, Sangwoo Shim, Yongsub Lim et al.
Real or Not Real, that is the Question
Yuanbo Xiangli*, Yubin Deng*, Bo Dai* et al.
Reanalysis of Variance Reduced Temporal Difference Learning
Tengyu Xu, Zhe Wang, Yi Zhou et al.
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Weihao Yu, Zihang Jiang, Yanfei Dong et al.
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Ellen D. Zhong, Tristan Bepler, Joseph H. Davis et al.
Recurrent neural circuits for contour detection
Drew Linsley*, Junkyung Kim*, Alekh Ashok et al.
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
Reformer: The Efficient Transformer
Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
Taejong Joo, Donggu Kang, Byunghoon Kim
Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh et al.