Most Cited AAAI "rank-k approximation" Papers
5,317 papers found • Page 10 of 27
Conference
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
Jinhao Lin, Yifei Wang, Yanwu Xu et al.
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu et al.
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Cunhang Fan, Enrui Liu, Andong Li et al.
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Yang Liu, Shudong Huang, Deng Xiong et al.
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan LIAO, Qi Wu, Xing Yan
The Impact of Literal Sorting on Cardinality Constraint Encodings
Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
Xingbo Liu, Xuening Zhang, Xiushan Nie et al.
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
Xiaoyang Liu, Boran Wen, Xinpeng Liu et al.
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi et al.
Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection
Bonan Ding, Jin Xie, Jing Nie et al.
Solving Multiagent Path Finding on Highly Centralized Networks
Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
Toward Efficient Data-Free Unlearning
Chenhao Zhang, Shaofei Shen, Weitong Chen et al.
Zero-Shot Image Captioning with Multi-type Entity Representations
Delong Zeng, Ying Shen, Man Lin et al.
Contrastive Functional Principal Component Analysis
Eric Zhang, Didong Li
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
Weibo Zhao, Yubin Shi, Xinyu Lyu et al.
Reducing Divergence in Batch Normalization for Domain Adaptation
Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen
First-Order Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Shiqian Ma et al.
Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion
Yuqin Dai, Wanlu Zhu, Ronghui Li et al.
Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision
Maoji Zheng, Ziyu Xu, Qiming Xia et al.
Multi-concept Model Immunization through Differentiable Model Merging
Amber Yijia Zheng, Raymond A. Yeh
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
Guixu Lin, Muyao Niu, Qingtian Zhu et al.
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
Weigao Sun, Yongtuo Liu, Xiaqiang Tang et al.
Online and Streaming Algorithms for Constrained k-Submodular Maximization
Fabian Christian Spaeh, Alina Ene, Huy Nguyen
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
Risk-averse Total-reward MDPs with ERM and EVaR
Xihong Su, Marek Petrik, Julien Grand-Clément
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang et al.
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Feifei Qian, Lu Bai, Lixin Cui et al.
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation
Wanruo Zhang, Mengyuan Liu, Hong Liu et al.
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
Prashansa Panda, Shalabh Bhatnagar
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
Mingjin Zhang, Wenteng Shang, Fei Gao et al.
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions
Jingyu Zhang, Yilei Wang, Lang Qian et al.
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Shijie Li, Weijun Lin, Qingyuan Xiang et al.
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Shentong Mo
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.
Qingyang Zeng, Lin Shang
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
Jun Zhu, Yifu Li, Zhenchao Tang et al.
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
Hui Zeng, Sanshuai Cui, Biwei Chen et al.
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Ran Ma, Yixiong Zou, Yuhua Li et al.
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Wei Liu, Yufei Chen, Xiaodong Yue
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
Yuchen Liu, Chen Chen, Lingjuan Lyu et al.
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen et al.
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Kangsheng Yin, Quan Liu, Xuelin Shen et al.
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising
Huaqiu Li, Wang Zhang, Xiaowan Hu et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
Lin Chen, Zhijie Jia, Lechao Cheng et al.
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal
Yicheng Leng, Chaowei Fang, Junye Chen et al.
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
Guoyuan Yang, Mufan Xue, Ziming Mao et al.
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
Diverse Rare Sample Generation with Pretrained GANs
Subeen Lee, Jiyeon Han, Soyeon Kim et al.
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Wangyu Xue, Chen Qian, Jiayi Wu et al.
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
Aoru Xue, Yiming Ren, Zining Song et al.
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
Wenting Xu, Viorela Ila, Luping Zhou et al.
Multispectral Pedestrian Detection with Sparsely Annotated Label
Chan Lee, Seungho Shin, Gyeong-Moon Park et al.
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Hyeonjin Kim, Jaejun Yoo
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim, Sang Woo Kim
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
Physical-aware Neural Radiance Fields for Efficient Exposure Correction
Kai Xu, Mingwen Shao, Yuanjian Qiao et al.
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
Xianqi Jiao, Jia Liu, Zhiping Chen
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Haoran Xu, Peixi Peng, Xinyi Zhang et al.
Cost Minimization for Equilibrium Transition
Haoqiang Huang, Zihe Wang, Zhide Wei et al.
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu et al.
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
Sarith Imaduwage
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
Zijian Huang, Wenda Chu, Linyi Li et al.
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
Zhuyang Xie, Yan Yang, Yankai Yu et al.
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
Huiqun Huang, Sihong He, Fei Miao
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Mufan Xue, Xinyu Wu, Jinlong Li et al.
Span Graph Transformer for Document-Level Named Entity Recognition
Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Hao Jiang, Tien Mai, Pradeep Varakantham et al.
Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee et al.
Auditable Algorithms for Approximate Model Counting
S Akshay, Supratik Chakraborty, Kuldeep S Meel
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
Relaxed Rotational Equivariance via G-Biases in Vision
Zhiqiang Wu, Yingjie Liu, Licheng Sun et al.
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis
Zhenhua Wu, Linxuan Jiang, Xiang Li et al.
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
Christian Kindermann, Anne-Marie George, Bijan Parsia et al.
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
Zhengqian Wu, Ruizhe Li, Zijun Xu et al.
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Xiang Wei, Alan J.X. Guo, Sihan Sun et al.
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Qiuxia Wu, Haiyang Huang, Kunming Su et al.
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
Rethinking High-speed Image Reconstruction Framework with Spike Camera
Kang Chen, Yajing Zheng, Tiejun Huang et al.
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning
Hongjing Wu, Siyuan Yao, Feng Huang et al.
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine, Alexandre Forel, Idriss Malek et al.
Learning Regularization for Graph Inverse Problems
Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.
TdAttenMix: Top-Down Attention Guided Mixup
Zhiming Wang, Lin Gu, Feng Lu
Weighted Poisson-disk Resampling on Large-Scale Point Clouds
Xianhe Jiao, Chenlei Lv, Junli Zhao et al.
Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
Sijia Jiang, Tong Wu, Jing Hua et al.
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
Runxin Liu, Tian Xie, Jiaming Li et al.
Double Auction on Diffusion Network
Miao Li, Yuhan Cao, Dengji Zhao
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Luca Andolfi, Gianluca Cima, Marco Console et al.
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
Yu Wang, Yunfei Liu, Fa-Ting Hong et al.
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
Yifan Wang, Wuliang Huang, Chun Yuan
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
Jie Qiao, Yu Xiang, Zhengming Chen et al.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
Junwei Cheng, Chaobo He, Pengxing Feng et al.
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Zongjun Yang, Luofeng Liao, Christian Kroer
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
Yu Chen, Shuai Zheng, Nianyi Wang et al.
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation
Xiaolong Wang, Lei Yu, Yingying Zhang et al.
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
MingCai Chen, Yuntao Du, Wenyu Jiang et al.
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li et al.
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
Chao Li, Yupeng Zhang, Jianqi Wang et al.
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Asaf Cassel, Orin Levy, Yishay Mansour
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images
Min Wang, Xin Huang, Guoqing Zhou et al.
QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects
Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh et al.
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
Matej Benko, Iwona Chlebicka, Jorgen Endal et al.
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
András Balogh, Márk Jelasity
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Seunghwan An, Gyeongdong Woo, Jaesung Lim et al.
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction
Hao Wang, Lu Wang, Zhongyu Wang et al.
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
CPN: Complementary Proposal Network for Unconstrained Text Detection
Longhuang Wu, Shangxuan Tian, Youxin Wang et al.
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases
Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
Spencer Killen, Jia-Huai You, Jesse Heyninck
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
Aowen Wang, Zhiwang Zhang, Dongang Wang et al.
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
Liangda Fang, Xiaoman Wang, Zhang Chen et al.
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
Jorge Fandinno, Zachary Hansen
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
Tze Ho Elden Tse, Runyang Feng, Linfang Zheng et al.
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Xin Tong, Shi Peng, Baojie Tian et al.
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao, LIsheng Wang, Luobin Huang
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation
Lars Bengel, Giovanni Buraglio, Jan Maly et al.
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
Oren Barkan, Yehonatan Elisha, Jonathan Weill et al.
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu et al.
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang et al.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
Kunming Tang, Zhiguo Jiang, Jun Shi et al.
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.
Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation
Xiao Hu, Libo Long, Jochen Lang
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Jian Liang et al.
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Wenjin Hou, Dingjie Fu, Kun Li et al.
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation
Yifei Su, Dong An, Kehan Chen et al.
Facility Location Games with Optional Preferences: A Revisit
Xingchen Sha, Shuyu Bao, Hau Chan et al.
Fair and Efficient Completion of Indivisible Goods
Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish
Understanding EFX Allocations: Counting and Variants
Tzeh Yuan Neoh, Nicholas Teh
On the Convergence of Tâtonnement for Linear Fisher Markets
Tianlong Nan, Yuan Gao, Christian Kroer
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
Max Staats, Matthias Thamm, Bernd Rosenow
Generalized Class Discovery in Instance Segmentation
Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang
Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation
Miran Heo, Seoung Wug Oh, Seon Joo Kim et al.
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
Taein Son, Soo Won Seo, Jisong Kim et al.
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Zihao He, Shengchuan Zhang, Runze Hu et al.
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living
Arkaprava Sinha, Dominick Reilly, Francois Bremond et al.
Proportionally Fair Makespan Approximation
Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
Yulin He, Wei Chen, Siqi Wang et al.
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao et al.
Distances Between Top-Truncated Elections of Different Sizes
Piotr Faliszewski, Jitka Mertlová, Pierre Nunn et al.
Last-iterate Convergence in Regularized Graphon Mean Field Game
Jing Dong, Baoxiang Wang, Yaoliang Yu
The Complexity of Extending Fair Allocations of Indivisible Goods
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
Xuelin Shen, Yitong Wang, Silin Zheng et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement
Gang He, Guancheng Quan, Chang Wu et al.