Paper Papers
5,546 papers found • Page 73 of 111
Competition among Pairwise Lottery Contests
Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
Dashan Gao, Sheng Wan, Lixin Fan et al.
Complete Neural Networks for Complete Euclidean Graphs
Snir Hordan, Tal Amir, Nadav Dym et al.
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting
Markus Brill, Jannik Peters
Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions
Teemu Hankala, Miika Hannula, Juha Kontinen et al.
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
Ye Li, Ting Du, Yiwen Pang et al.
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae
Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
Prajwal Gatti, Kshitij Parikh, Dhriti Paul et al.
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
Yuyang Chai, Zhuang Li, Jiahui Liu et al.
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
Ruichen Wang, Zekang Chen, Chen Chen et al.
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
Hao Tan, Jun Li, Yizhuang Zhou et al.
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.
Comprehensive Visual Grounding for Video Description
Wenhui Jiang, Yibo Cheng, Liu Linxin et al.
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.
Computing the Why-Provenance for Datalog Queries via SAT Solvers
Haitong Luo, Xuying Meng, Suhang Wang et al.
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou et al.
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Maitreya Patel, Tejas Gokhale, Chitta Baral et al.
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
Yi Zhang, Ce Zhang, Ke Yu et al.
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
Rui Zhao, Liang Zhang, Biao Fu et al.
ConditionVideo: Training-Free Condition-Guided Video Generation
Bo Peng, Xinyuan Chen, Yaohui Wang et al.
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
Yingheng Wang, Shufeng Kong, John Gregoire et al.
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Zhengliang Shi, Shen Gao, Minghang Zhu et al.
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
Churan Zhi, Junbao Zhuo, Shuhui Wang
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
Rui Li, LiYang He, Qi Liu et al.
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang, Wenchao Chen, Bo Chen
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
Ziqian Zeng, Yihuai Hong, Hongliang Dai et al.
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Chenxiao Wu, Ke Wenjun, Peng Wang et al.
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
Shengbo Wang, Ke Li
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Dongjun Gu, Jaehyeok Shim, Jaehoon Jang et al.
Content Filtering with Inattentive Information Consumers
Justin Grana, Alex Slivkins, Brendan Lucier et al.
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
Ri Cheng, Ruian He, Xuhao Jiang et al.
Context Enhanced Transformer for Single Image Object Detection in Video Data
Seungjun An, Seonghoon Park, Gyeongnyeon Kim et al.
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval
Yuanmin Tang, Jing Yu, Keke Gai et al.
Contextual Pandora’s Box
Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.
Continual Relation Extraction via Sequential Multi-Task Learning
Thanh-Thien Le, Manh Nguyen, Tung Nguyen et al.
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
Zhenyu Cui, Yuxin Peng, Xun Wang et al.
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Zhiqiang Chen, Yang Chen, xiaolong Zou et al.
Continuous-Time Graph Representation with Sequential Survival Process
Abdulkadir Celikkanat, Nikolaos Nakis, Morten Mørup
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
Lokesh Nagalapatti, Akshay Iyer, Abir De et al.
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
Zhi Jin, Sheng Xu, Xiang Zhang et al.
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
Minqin Zhu, Anpeng Wu, Haoxuan Li et al.