Most Cited AAAI "spectral mixture kernels" Papers
5,317 papers found • Page 7 of 27
Conference
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation
Hongwei Niu, Jie Hu, Jianghang Lin et al.
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.
Task-Free Dynamic Sparse Vision Transformer for Continual Learning
Fei Ye, Adrian Bors
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
Yucong Meng, Zhiwei Yang, Yonghong Shi et al.
Unsupervised Extractive Summarization with Learnable Length Control Strategies
Renlong Jie, Xiaojun Meng, Xin Jiang et al.
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
Jongwook Choi, Sungtae Lee, Xinyu Wang et al.
Constrained Generative Modeling with Manually Bridged Diffusion Models
Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg et al.
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
Shibing Mo, Kai Wu, Qixuan Gao et al.
RouterRetriever: Routing over a Mixture of Expert Embedding Models
Hyunji Lee, Luca Soldaini, Arman Cohan et al.
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning
Tianmeng Hu, Biao Luo
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
Ziqi Sheng, Wei Lu, Xiangyang Luo et al.
Population Aware Diffusion for Time Series Generation
Yang Li, Han Meng, Zhenyu Bi et al.
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
Zhecheng Sheng, Tianhao Zhang, Chen Jiang et al.
Self-Prompting Analogical Reasoning for UAV Object Detection
Nianxin Li, Mao Ye, Lihua Zhou et al.
TransGOP: Transformer-Based Gaze Object Prediction
Binglu Wang, Chenxi Guo, Yang Jin et al.
Boosting Residual Networks with Group Knowledge
Shengji Tang, Peng Ye, Baopu Li et al.
Real-Time Recurrent Reinforcement Learning
Julian Lemmel, Radu Grosu
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Shunsuke Horii, Yoichi Chikahara
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER
Hang Zheng, Qingsong Li, Shen Chen et al.
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Pengcheng Jiang, Cao Xiao, Tianfan Fu et al.
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
Yang Liu, Mengyuan Liu, Shudong Huang et al.
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
Zheng-Peng Duan, Jiawei Zhang, Zheng Lin et al.
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs
Yunuo Cen, Zhiwei Zhang, Xuanyao Fong
Self-Prompt Mechanism for Few-Shot Image Recognition
Mingchen Song, Huiqiang Wang, Guoqiang Zhong
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
Xingcheng Fu, Yisen Gao, Beining Yang et al.
Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
Zhan Lu, Qian Zheng, Boxin Shi et al.
Data-Free Hard-Label Robustness Stealing Attack
Xiaojian Yuan, Kejiang Chen, Wen Huang et al.
Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes
Jingyi Zhang, Qihong Mao, Guosheng Hu et al.
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang et al.
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
Ranthony A. Clark, Tom Needham, Thomas Weighill
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse et al.
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.
RRL: Recommendation Reverse Learning
Xiaoyu You, Jianwei Xu, Mi Zhang et al.
Scores for Learning Discrete Causal Graphs with Unobserved Confounders
Alexis Bellot, Junzhe Zhang, Elias Bareinboim
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
Jianming Chen, Yawen Wang, Junjie Wang et al.
FaceRSA: RSA-Aware Facial Identity Cryptography Framework
Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.
Racing Control Variable Genetic Programming for Symbolic Regression
Nan Jiang, Yexiang Xue
Generating Counterfactual Explanations Under Temporal Constraints
Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al.
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Mark Beliaev, Ramtin Pedarsani
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
Jingjing Hu, Dan Guo, Zhan Si et al.
Partial Label Learning with a Partner
Chongjie Si, Zekun Jiang, Xuehui Wang et al.
Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing
Xiaozhe Zhang, Haidong Ding, Fengying Xie et al.
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model
Zhuoyuan Li, Yubo Ai, Jiahao Lu et al.
Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
Yiheng Li, Yang Yang, Zhen Lei
Procedural Level Generation with Diffusion Models from a Single Example
Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.
Mixture of Experts Based Multi-Task Supervise Learning from Crowds
Tao Han, Huaixuan Shi, Xinyi Ding et al.
Braess’s Paradox of Generative AI
Boaz Taitler, Omer Ben-Porat
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
Ruicong Liu, Feng Lu
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
Jinlu Zhang, Jiji Tang, Rongsheng Zhang et al.
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
Guosheng Zhang, Keyao Wang, Haixiao Yue et al.
Video Frame Prediction from a Single Image and Events
Juanjuan Zhu, Zhexiong Wan, Yuchao Dai
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains
Yimu Wang, Yihan Wu, Hongyang Zhang
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections
Tuva Bardal, Markus Brill, David McCune et al.
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously
Hannaneh Akrami, Nidhi Rathi
DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
Victor Quetu, Enzo Tartaglione
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
Chunxu Zhang, Guodong Long, Hongkuan Guo et al.
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
Song Jintao, Wenqi Lu, Yunwen Lei et al.
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
Junwei Zhang, Ruifang He, Fengyu Guo et al.
Dynamic Graph Learning with Static Relations for Credit Risk Assessment
Qi Yuan, Yang Liu, Yateng Tang et al.
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang, Wonseok Roh, Sujin Jang et al.
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia, Xinjun Ma, Zhiyuan Liu et al.
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Siqi Wu, Yinda Chen, Dong Liu et al.
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning
Yiming Yang, Yueru Luo, Bingkun He et al.
Prompt-based Unifying Inference Attack on Graph Neural Networks
Yuecen Wei, Xingcheng Fu, Lingyun Liu et al.
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
Meixia He, Peican Zhu, Keke Tang et al.
Neural Time
Reversed Generalized Riccati Equation
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen, Muyoung Son, Chuanbo Hua et al.
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
Mingjing Xu, Peizhong Ju, Jia Liu et al.
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting
Fengyu Yan, Xiaobao Wang, Dongxiao He et al.
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.
CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization
Yuang Cai, Yuyu Yuan
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
Zhen Zhang, Junfeng Yang, Limei Liu et al.
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Yutong Xia, Runpeng Yu, Yuxuan Liang et al.
Novel Class Discovery in Chest X-rays via Paired Images and Text
Jiaying Zhou, Yang Liu, Qingchao Chen
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Xianda Wang, Yaqi Qiao, Duo Wu et al.
Bridging Molecular Graphs and Large Language Models
Runze Wang, Mingqi Yang, Yanming Shen
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
Rob Romijnders, Christos Louizos, Yuki Asano et al.
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
Jiyang Xu, Qi Wang, Xin Xiong et al.
Towards Learnable Anchor for Deep Multi-View Clustering
Bocheng Wang, Chusheng Zeng, Mulin Chen et al.
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Jieru Lin, Danqing Huang, Tiejun Zhao et al.
Multi-View Collaborative Learning Network for Speech Deepfake Detection
Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
Qizhou Chen, Taolin Zhang, Chengyu Wang et al.
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.
Multi-Modal Grounded Planning and Efficient Replanning for Learning Embodied Agents with a Few Examples
Taewoong Kim, Byeonghwi Kim, Jonghyun Choi
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes
Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.
Reliable Data Generation and Selection for Low-Resource Relation Extraction
Junjie Yu, Xing Wang, Wenliang Chen
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design
Honggen Zhang, Xiangrui Gao, June Zhang et al.
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
Yulun Wu, Han Huang, Wenyuan Zhang et al.
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
Hanfei Yu, Jian Li, Yang Hua et al.
Compact HD Map Construction via Douglas-Peucker Point Transformer
Ruixin Liu, Zejian Yuan
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Xiao Han, Zijian Zhang, Xiangyu Zhao et al.
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention
Jiangning Wei, Lixiong Qin, Bo Yu et al.
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs
Yunlong Zhao, Haoran Wu, Bo Xu
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
Rong Han, Xiaohong Liu, Tong Pan et al.
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
Yuxiao Wang, Wenpeng Neng, Zhenao Wei et al.
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
Hao Tian, Sourav Medya, Wei Ye
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Dongjun Gu, Jaehyeok Shim, Jaehoon Jang et al.
PMAC: Personalized Multi-Agent Communication
Xiangrui Meng, Ying Tan
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
Liyao Jiang, Negar Hassanpour, Mohammad Salameh et al.
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu, Lin Ning, Luyang Liu et al.
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
Ante Wang, Linfeng Song, Ye Tian et al.
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
Jianing Wang, Yang Zhou, Xiaocheng Zhang et al.
Infer Human’s Intentions Before Following Natural Language Instructions
Yanming Wan, Yue Wu, Yiping Wang et al.
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework
Yueru Jia, Aosong Cheng, Yuhui Yuan et al.
Few-Shot, No Problem: Descriptive Continual Relation Extraction
Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran et al.
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models
Panfeng Liu, Guoliang Qiu, Biaoshuai Tao et al.
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Xinyu Yang, Yu Sun, Xinyang Chen et al.
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao et al.
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
Cong Wang, Jinshan Pan, Liyan Wang et al.
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion
Geng Chen, Wuyuan Xie, Di Lin et al.
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
Dongfang Li, Zetian Sun, Xinshuo Hu et al.
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
Rihui Jin, Yu Li, Guilin Qi et al.
VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning
Muye Huang, Lingling Zhang, Han Lai et al.
Cached Transformers: Improving Transformers with Differentiable Memory Cached
Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
Yupu Hao, Pengfei Cao, Zhuoran Jin et al.
Modeling Knowledge Graphs with Composite Reasoning
Wanyun Cui, Linqiu Zhang
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection
Yucheng Han, Na Zhao, Weiling Chen et al.
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
Walter Gerych, Yara Rizk, Vatche Isahagian et al.
MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint
Qiang Hu, Zhenyu Yi, Ying Zhou et al.
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
Xiaolong Sun, Liushuai Shi, Le Wang et al.
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model
Weilin Sun, Xinran Li, Manyi Li et al.
EMPLACE: Self-Supervised Urban Scene Change Detection
Tim Alpherts, Sennay Ghebreab, Nanne van Noord
Permutation-Based Hypothesis Testing for Neural Networks
Francesca Mandel, Ian Barnett
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding
Yutong Wang, Tanishq Duhan, Jiaoyang Li et al.
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
Dongping Liao, Xitong Gao, Chengzhong Xu
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual
Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou, Xiangmou Qu, Chenlong You et al.
ProtCLIP: Function-Informed Protein Multi-Modal Learning
Hanjing Zhou, Mingze Yin, Wei Wu et al.
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
Liang Zhao, Ziyue Wang, Xiao Wang et al.
GTG: Generalizable Trajectory Generation Model for Urban Mobility
Jingyuan Wang, Yujing Lin, Yudong Li
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen, Tong Zhang, Wei-shi Zheng et al.
Progressive Text-to-Image Diffusion with Soft Latent Direction
YuTeng Ye, Jiale Cai, Hang Zhou et al.
Harnessing Edge Information for Improved Robustness in Vision Transformers
Yanxi Li, Chengbin Du, Chang Xu
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
WenZheng Zhang, Yang Hu, Jing Shi et al.
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
Jianhua Zhang, Yi Gao, Ruyu Liu et al.
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
Qiang Qi, Xiao Wang
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo, Ke Liu, Jiangchao Yao et al.
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
Aoting Zhang, Dongbao Yang, Chang Liu et al.
Feature Clipping for Uncertainty Calibration
Linwei Tao, Minjing Dong, Chang Xu
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang et al.
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
Zirui Pan, Xin Wang, Yipeng Zhang et al.
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
Anna Grim, Jayaram Chandrashekar, Uygar Sümbül
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
Yeji Song, Jimyeong Kim, Wonhark Park et al.
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Minseok Son, Inyong Koo, Jinyoung Park et al.
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
Junlong Liao, Wenda Fu, Cong Wang et al.
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
8445 Wangkun Xu, Jianhong Wang, Fei Teng
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
Mohit Prashant, Arvind Easwaran, Suman Das et al.
Multimodal Variational Autoencoder: A Barycentric View
Peijie Qiu, Wenhui Zhu, Sayantan Kumar et al.
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba, Xuan Liu, Xinning Chen et al.
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
GuangHao Meng, Sunan He, Jinpeng Wang et al.
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
Ziru Niu, Hai Dong, A. K. Qin
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
Chenglu Sun, Shuo Shen, Wenzhi Tao et al.
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
Yuhang Ma, Wenting Xu, Chaoyi Zhao et al.
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
Yi Feng, Yu Han, Xijing Zhang et al.
YTCommentQA: Video Question Answerability in Instructional Videos
Saelyne Yang, Sunghyun Park, Yunseok Jang et al.
A Simple Graph Contrastive Learning Framework for Short Text Classification
Yonghao Liu, Fausto Giunchiglia, Lan Huang et al.
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
Yiwei Shi, Muning Wen, Qi Zhang et al.
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu, Haoyang Li, Shuning Wang et al.
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation
Dong Feng, Ping Guo, Encheng Peng et al.
SimCS: Simulation for Domain Incremental Online Continual Segmentation
Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
Sonny Achten, Francesco Tonin, Panagiotis Patrinos et al.
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
Yitong Duan, Weiran Wang, Jian Li
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition
Qi Rao, Ke Sun, Xiaohan Wang et al.
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
Geonho Lee, Janghwan Lee, Sukjin Hong et al.
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
Guobin Shen, Dongcheng Zhao, Aorigele Bao et al.
p-Mean Regret for Stochastic Bandits
Anand Krishna, Philips George John, Adarsh Barik et al.
Certification of Speaker Recognition Models to Additive Perturbations
Dmitrii Korzh, Elvir Karimov, Mikhail Pautov et al.
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha et al.
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
Kaiyi Zhang, Yang Chen, Ximing Yang et al.
Cross-modal Multi-task Learning for Multimedia Event Extraction
Jianwei Cao, Yanli Hu, Zhen Tan et al.
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
Yating Liu, Yujie Zhang, Ziyu Shan et al.
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
Sixing Wu, Jiong Yu, Jiahao Chen et al.
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Zhiheng Huang, Yannan Liu, Daojing He et al.
Learning Safe Action Models with Partial Observability
Hai Le, Brendan Juba, Roni Stern
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
Sizhe Hu, Wenming Wu, Yuntao Wang et al.
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Yuhao Yi, Ronghui You, Hong Liu et al.
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong et al.
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dexu Kong, Anping Zhang, Yang Li
Envy-Free House Allocation under Uncertain Preferences
Haris Aziz, Isaiah Iliffe, Bo Li et al.
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch
Shengyu Feng, Yiming Yang
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Pingting Hao, Kunpeng Liu, Wanfu Gao
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jin-Young Kim et al.
FaceMe: Robust Blind Face Restoration with Personal Identification
Siyu Liu, Zheng-Peng Duan, Jia OuYang et al.
Learning Physics Informed Neural ODEs with Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba et al.
HYGENE: A Diffusion-Based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
Hang Gao, Chenhao Zhang, Fengge Wu et al.