Paper Papers

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.

QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification

Chunyu Hu, Hong Zhang, Chao Liang et al.

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning

Fang-Xiang Wu, Minghan Fu

QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis

Xingqiang Zhao, Hai Wan, Kunxun Qi

Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning

Bolun Zheng, Li Haoran, Quan Chen et al.

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth et al.

Quantifying and Analyzing Entity-Level Memorization in Large Language Models

Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen 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.

QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters

Yushan Liu, Zili Wang, Ruifeng Yuan

Question Calibration and Multi-Hop Modeling for Temporal Question Answering

Chao Xue, Di Liang, Pengfei Wang et al.

R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Control Diffusion

Jinxiu Liu, Qi Liu

Racing Control Variable Genetic Programming for Symbolic Regression

Nan Jiang, Yexiang Xue

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu et al.

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation

Haiming Zhang, Xu Yan, Dongfeng Bai et al.

Rating-Based Reinforcement Learning

Devin White, Mingkang Wu, Ellen Novoseller et al.

Reachability of Fair Allocations via Sequential Exchanges

Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong et al.

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu et al.

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.

Reconciling Predictive and Statistical Parity: A Causal Approach

Drago Plecko, Elias Bareinboim

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation

Shilin Yan, Renrui Zhang, Ziyu Guo et al.

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun et al.

Region-Aware Exposure Consistency Network for Mixed Exposure Correction

Jin Liu, Huiyuan Fu, Chuanming Wang et al.

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

Debaditya Shome, Pritam Sarkar, Ali Etemad

REGLO: Provable Neural Network Repair for Global Robustness Properties

Feisi Fu, Zhilu Wang, Weichao Zhou et al.

Regret Analysis of Repeated Delegated Choice

Suho Shin, Keivan Rezaei, Mohammad Hajiaghayi et al.

Regroup Median Loss for Combating Label Noise

Authors: Fengpeng Li, Kemou Li, Jinyu Tian et al.

Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina Hoffmann

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection

Litian Zhang, Xiaoming Zhang, Chaozhuo Li et al.

Reinforcement Learning and Data

Generation for Syntax-Guided Synthesis

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

Relational Programming with Foundational Models

Ziyang Li, Jiani Huang, Jason Liu et al.

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

Jian Hu, Jiayi Lin, Shaogang Gong et al.

Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation

Xiaoyi Bao, Jie Qin, Siyang Sun et al.

Reliable Conflictive Multi-View Learning

Cai Xu, Jiajun Si, Ziyu Guan et al.