Papers
Quantized Training of Gradient Boosting Decision Trees
Yu Shi, Guolin Ke, Zhuoming Chen et al.
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew M. Childs, Tongyang Li, Jin-Peng Liu et al.
QUARK: Controllable Text Generation with Reinforced Unlearning
Ximing Lu, Sean Welleck, Jack Hessel et al.
Quasi-Newton Methods for Saddle Point Problems
Chengchang Liu, Luo Luo
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
Yabo Xiao, Kai Su, Xiaojuan Wang et al.
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits
Ilai Bistritz, Nicholas Bambos
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
Patrick Dendorfer, Vladimir Yugay, Aljosa Osep et al.
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
Yanjing Li, Sheng Xu, Baochang Zhang et al.
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Xuanhong Chen, Kairui Feng, Naiyuan Liu et al.
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets
Ruisi Cai, Zhenyu Zhang, Tianlong Chen et al.
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten, Jan Schuchardt, Simon Geisler et al.
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means
Rong Yin, Yong Liu, Weiping Wang et al.
Random Normalization Aggregation for Adversarial Defense
Minjing Dong, Xinghao Chen, Yunhe Wang et al.
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
Haris Aziz, Alexander Lam, Mashbat Suzuki et al.
Random Sharpness-Aware Minimization
Yong Liu, Siqi Mai, Minhao Cheng et al.
Rank Diminishing in Deep Neural Networks
Ruili Feng, Kecheng Zheng, Yukun Huang et al.
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song, Nicu Sebe, Wei Wang
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang, Changwoo Lee, Zhao Tang Luo et al.
Rapid Model Architecture Adaption for Meta-Learning
Yiren Zhao, Xitong Gao, I Shumailov et al.
Rare Gems: Finding Lottery Tickets at Initialization
Kartik Sreenivasan, Jy-yong Sohn, Liu Yang et al.
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
Hsiang Hsu, Flavio Calmon
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran, Romain Chor, Abdellatif Zaidi
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel, Alon Peled-Cohen, Tomer Koren