Paper Papers
5,546 papers found • Page 107 of 111
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.
The Irrelevance of Influencers: Information Diffusion with Re
Activation and Immunity Lasts Exponentially Long on Social Network Models
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover
Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono et al.
Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
Shintaro Nakamura, Masashi Sugiyama
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma, Ismail Elezi, Jiankang Deng et al.
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Xuming Hu, Zhaochen Hong, Yong Jiang et al.
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem
Qingyun Zhang, YuMing Du, Zhipeng Lü et al.
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
Zhidong Yu, Wei Yang, Xike Xie et al.
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
jiexi Liu, Songcan Chen
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
Chaoya Jiang, Wei Ye, Haiyang Xu et al.
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov, Stefan Ailuro
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
Qianrui Zhou, Hua Xu, Hao Li et al.
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
YoungJoon Yoo, Jongwon Choi
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia Gel
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
Yuhao Wang, Xuehu Liu, Pingping Zhang et al.
Toward Open
Set Human-Object Interaction Detection
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
Zhen Zhang, Junfeng Yang, Limei Liu et al.
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset
Haolong Li, Chenghao Du, Ziheng Jiang et al.
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
Chen BAI, Jianwang Zhai, Yuzhe Ma et al.
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
Zhihang Liu, Jun Li, Hongtao Xie et al.
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha, Huizhen Ji, Jinmin Li et al.
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Jiajun Liu, Ke Wenjun, Peng Wang et al.
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li, Tianqi Wang, Junwei Chen et al.
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model
Zhenyu Xie, Yang Wu, Xuehao Gao et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Binwu Wang, Pengkun Wang, Yudong Zhang et al.
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li, Yulin Zhao, Zhengyu Wu et al.
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
Kaibin Tian, Yanhua Cheng, Yi Liu et al.
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
Siyu Zou, Jiji Tang, Yiyi Zhou et al.
Towards Epistemic-Doxastic Planning with Observation and Revision
Thorsten Engesser, Andreas Herzig, Elise Perrotin
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang, Peixin Qin, Wenqiang Lei et al.
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
Xianwei Zhuang, Xuxin Cheng, Yuexian Zou
Towards Fair Graph Federated Learning via Incentive Mechanisms
12794 Chenglu Pan, Jiarong Xu, Yue Yu et al.
Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery
Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang et al.
Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation
Li Ren, Chen Chen, Liqiang Wang et al.
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
Ao Liu, Wenshan Li, Tao Li et al.
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.
Towards Making Learnware Specification and Market Evolvable
Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
Di Mi, Yanjun Zhang, Leo yu Zhang et al.
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
Wei Qian, Chenxu Zhao, Yangyi Li et al.
Towards Molecular Structure Discovery from Cryo-ET Density Volumes via Modelling Auxiliary Semantic Prototypes
Ashwin Nair, Xingjian Li, Mostofa Rafid Uddin et al.
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai, Shengli Song, Shiqi Meng et al.
Towards More Likely Models for AI Planning
11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.