Paper Papers

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hua Wei et al.

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Provably Powerful Graph Neural Networks for Directed Multigraphs

Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection

Joonhyun Jeong, Geondo Park, Jayeon Yoo et al.

Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens

SangHo Lee, Hayun Lee, Dongkun Shin

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila McIlraith, J. Christopher Beck

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Lirong Wu, Yufei Huang, Cheng Tan et al.

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao et al.

PTMQ: Post-training Multi-Bit Quantization of Neural Networks

Ke Xu, Zhongcheng Li, Shanshan Wang et al.

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition

Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention

Ying-Yu Chen, Jun-Wei Hsieh, Xin Li et al.

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

QAGait: Revisit Gait Recognition from a Quality Perspective

Zengbin Wang, Saihui Hou, Man Zhang 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.

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