All Papers
34,598 papers found • Page 624 of 692
Conference
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation
Yizhe Xiong, Hui Chen, Tianxiang Hao et al.
QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang et al.
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang et al.
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Yuhui Xu, Lingxi Xie, Xiaotao Gu et al.
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge
Haibo Wang, Weifeng Ge
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Haoning Wu, Zicheng Zhang, Erli Zhang et al.
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
Lu Bai, Lixin Cui, Ming Li et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
Yogesh Kumar, Saswat Mallick, Anand Mishra et al.
QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition
Xiang Li, Jinglu Wang, Xiaohao Xu et al.
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
Chunyu Hu, Hong Zhang, Chao Liang et al.
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Haoning Wu, Zicheng Zhang, Erli Zhang et al.
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
Fang-Xiang Wu, Minghan Fu
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Jing Liu, Ruihao Gong, Xiuying Wei et al.
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
Ishak Ayad, Nicolas Larue, Mai K. Nguyen
QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
Gabriel Stella, Dmitri Loguinov
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
Xingqiang Zhao, Hai Wan, Kunxun Qi
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
Kenneth Li, Samy Jelassi, Hugh Zhang et al.
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li, Jiawei Xu, Lei Han et al.
Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning
Bolun Zheng, Li Haoran, Quan Chen et al.
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
Maximilian Frühauf, Hayko Riemenschneider, Markus Gross et al.
Quadratic models for understanding catapult dynamics of neural networks
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Tim Rädsch, Annika Reinke, Vivienn Weru et al.
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti, Maxence Faldor, Borja G. León et al.
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Allen Chang, Matthew C. Fontaine, Serena Booth et al.
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Teufel et al.
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune et al.
Quality-Diversity with Limited Resources
Ren-Jian Wang, Ke Xue, Cong Guan et al.
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
Quan Nguyen, Adji Bousso Dieng
Quanta Video Restoration
PRATEEK CHENNURI, Yiheng Chi, Enze Jiang et al.
Quantifying and Analyzing Entity-Level Memorization in Large Language Models
Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen et al.
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Zequn Yang, Yake Wei, Ce Liang et al.
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov et al.
Quantifying Network Similarity using Graph Cumulants
Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis et al.
Quantifying Task Priority for Multi-Task Optimization
Wooseong Jeong, Kuk-Jin Yoon
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim et al.
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
Joar Skalse, Alessandro Abate
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Juanwu Lu, Can Cui, Yunsheng Ma et al.
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks
Vladimir Protsenko, Vladimir Kryzhanovskiy, Alexander Filippov
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.
Quantum Algorithm for Online Exp-concave Optimization
Jianhao He, Chengchang Liu, Xutong Liu et al.
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Yexin Zhang, Chenyi Zhang, Cong Fang et al.
Quantum Implicit Neural Representations
Jiaming Zhao, Wenbo Qiao, Peng Zhang et al.
Quantum-Inspired Neural Network with Runge-Kutta Method
Zipeng Fan, Jing Zhang, Peng Zhang et al.
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
Junwei Zhang, Ruifang He, Fengyu Guo et al.
Quantum Positional Encodings for Graph Neural Networks
Slimane Thabet, Mehdi Djellabi, Igor Sokolov et al.
Quantum Theory and Application of Contextual Optimal Transport
Nicola Mariella, Albert Akhriev, Francesco Tacchino et al.
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
Pengxiang Ding, Han Zhao, Wenjie Zhang et al.
Quasi-Monte Carlo Features for Kernel Approximation
ZHEN HUANG, Jiajin Sun, Yian Huang
Quasi-Monte Carlo for 3D Sliced Wasserstein
Khai Nguyen, Nicola Bariletto, Nhat Ho