Papers
11,951 papers found
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
Noah Amsel, Gilad Yehudai, Joan Bruna
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin et al.
Quantifying Generalization Complexity for Large Language Models
Zhenting Qi, Hongyin Luo, Xuliang Huang et al.
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
Takashi Furuya, Koichi Taniguchi, Satoshi Okuda
Quantized Spike-driven Transformer
Xuerui Qiu, Malu Zhang, Jieyuan Zhang et al.
Quantum (Inspired) $D^2$-sampling with Applications
Poojan Chetan Shah, Ragesh Jaiswal
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu et al.
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa, Wenxuan Zhang, Ziquan Liu et al.
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
Chaochen Gao, Xing W, Qi Fu et al.
R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection
Zhiqiang Wu, Yingjie Liu, Hanlin Dong et al.
Radar: Fast Long-Context Decoding for Any Transformer
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi et al.
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li, Sen Mei, Zhenghao Liu et al.
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
Hengzhe Zhang, Qi Chen, Bing XUE et al.
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
Hanyang Zhao, Genta Indra Winata, Anirban Das et al.
RandLoRA: Full rank parameter-efficient fine-tuning of large models
Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran et al.
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
Zhengwei Yin, Hongjun Wang, Guixu Lin et al.
Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang et al.
Range, not Independence, Drives Modularity in Biologically Inspired Representations
Will Dorrell, Kyle Hsu, Luke Hollingsworth et al.
Ranking-aware adapter for text-driven image ordering with CLIP
Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang et al.
RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
Tanya Chowdhury, Yair Zick, James Allan
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
Patrick Yin, Tyler Westenbroek, Ching-An Cheng et al.
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
Tanqiu Jiang, Changjiang Li, Fenglong Ma et al.
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
Kha Pham, Hung Le, Man Ngo et al.
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson, Van Tran, Max Z. Li et al.