Papers
Quantification of Uncertainty with Adversarial Models
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi et al.
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang, Yun Cheng, Xiang Fan et al.
Quantifying the Cost of Learning in Queueing Systems
Daniel Freund, Thodoris Lykouris, Wentao Weng
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
Haotong Qin, Yulun Zhang, Yifu Ding et al.
Quantum Bayesian Optimization
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma et al.
Quantum speedups for stochastic optimization
Aaron Sidford, Chenyi Zhang
Quasi-Monte Carlo Graph Random Features
Isaac Reid, Krzysztof M Choromanski, Adrian Weller
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
Jinghua Hou, Zhe Liu, dingkang liang et al.
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom Ikezogwo, Saygin Seyfioglu, Fatemeh Ghezloo et al.
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Jerry Chee, Yaohui Cai, Volodymyr Kuleshov et al.
RADAR: Robust AI-Text Detection via Adversarial Learning
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
RaLEs: a Benchmark for Radiology Language Evaluations
Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias et al.
Random-Access Infinite Context Length for Transformers
Amirkeivan Mohtashami, Martin Jaggi
Random Cuts are Optimal for Explainable k-Medians
Konstantin Makarychev, Liren Shan
Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations
Hannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin et al.
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
Jules Berman, Benjamin Peherstorfer
RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
Yeqi BAI, Ben Fei, Youquan Liu et al.
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
Daesung Kim, Hye Won Chung
Rank-DETR for High Quality Object Detection
Yifan Pu, Weicong Liang, Yiduo Hao et al.
Rank-N-Contrast: Learning Continuous Representations for Regression
Kaiwen Zha, Peng Cao, Jeany Son et al.
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D. McDonnell, Dong Gong, Amin Parvaneh et al.
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue, Guanglu Song, Qiushan Guo et al.
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
Zhuoman Liu, Bo Yang, Yan Luximon et al.
R-divergence for Estimating Model-oriented Distribution Discrepancy
Zhilin Zhao, Longbing Cao