Most Cited AAAI "reference-based methods" Papers

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

Yuwei Miao, Yuzhi Guo, Hehuan Ma et al.

Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document

Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

Adaptive Manipulation for Coalitions in Knockout Tournaments

Juhi Chaudhary, Hendrik Molter, Meirav Zehavi

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration

Zheqi Lv, Keming Ye, Zishu Wei et al.

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.

Causal Discovery by Interventions via Integer Programming

Abdelmonem Elrefaey, Rong Pan

Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal

Shilong Ou, Zhe Xue, Lixiong Qin et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis

Zemin Yang, Yujing Sun, Xidong Peng et al.

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking

Jianwei Zheng, Xiaomin Yao, Guojiang Shen et al.

Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions

Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo

Multi-Shape Matching with Cycle Consistency Basis via Functional Maps

Yifan Xia, Tianwei Ye, Huabing Zhou et al.

Scalable Knowledge Refactoring Using Constrained Optimisation

Minghao Liu, David M. Cerna, Filipe Gouveia et al.

First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks

Janani Suresh, Nancy Nayak, Sheetal Kalyani

Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Constant-Factor Distortion Mechanisms for k-Committee Election

Haripriya Pulyassary, Chaitanya Swamy

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation

Di Hong, Yueming Wang

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models

Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.

Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling

Zhejing Hu, Yan Liu, Gong Chen et al.

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities

Chengkun Sun, Jinqian Pan, Zhuoli Jin et al.

The Gradient of Algebraic Model Counting

Jaron Maene, Luc De Raedt

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification

Baoming Zhang, MingCai Chen, Jianqing Song et al.

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

Danning Lao, Qi Liu, Jiazi Bu et al.

OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting

Jianwei Fei, Yunshu Dai, Zhihua Xia et al.

Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling

Xupeng Zha, Huan Zhao, Guanghui Ye et al.

Navigating Towards Fairness with Data Selection

Yixuan Zhang, Zhidong Li, Yang Wang et al.

SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection

Peiyao Shou, Yixiu Liu, Wei Wang et al.

MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge

Maxwell J. Yin, Boyu Wang, Charles Ling

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents

Serafina Kamp, Benjamin Fish

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning

Eloy Geenjaar, Lie Lu

GLAM: Global-Local Variation Awareness in Mamba-based World Model

Qian He, Wenqi Liang, Chunhui Hao et al.

Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes

Ji Shi, Xianghua Ying, Ruohao Guo et al.

Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection

Youjun Zhao, Jiaying Lin, Rynson W. H. Lau

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.

View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection

Qi Zhang, Zhouhang Luo, Tao Yu et al.

Sample-and-Bound for Non-convex Optimization

Yaoguang Zhai, Zhizhen Qin, Sicun Gao

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Jiesheng Wang, Lin Li, Wei Wei et al.

Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval

Xin Huang, Shilong Wang, Tong Jia et al.

GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection

Xiaocan Chen, Qilin Yin, Jiarui Liu et al.

Reducing Leximin Fairness to Utilitarian Optimization

Eden Hartman, Yonatan Aumann, Avinatan Hassidim et al.

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models

Chengkun Sun, Jinqian Pan, Russell Stevens Terry et al.

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

Shiqi Lei, Kanghoon Lee, Linjing Li et al.

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Hongning Wang, Huazheng Wang

ConDo: Continual Domain Expansion for Absolute Pose Regression

Zijun Li, Zhipeng Cai, Bochun Yang et al.

FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning

Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy

Shaoyan Pan, Yikang Liu, Lin Zhao et al.

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning

Yangkun Chen, Kai Yang, Jian Tao et al.

AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery

Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao et al.

ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow

Jumin Han, Jun-Hee Kim, Seong-Whan Lee

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.

Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management

Yi Feng, Xiao Wang, Tian Xie

Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting

Sifan Yang, Yuanyu Wan, Lijun Zhang

Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion

Jisheng Chu, Wenrui Li, Xingtao Wang et al.

Treasures in Discarded Weights for LLM Quantization

Hao Yu, Yang Zhou, Bohua Chen et al.

Strategyproof Matching of Roommates and Rooms

Hadi Hosseini, Shivika Narang, Sanjukta Roy

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.

CUGF: A Reliable and Fair Recommendation Framework

Nitin Bisht, Xiuwen Gong, Guandong Xu

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model

Jiahua Xu, Dawei Zhou, Lei Hu et al.

Auditing and Enforcing Conditional Fairness via Optimal Transport

Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso et al.

Information-Theoretic Generative Clustering of Documents

Xin Du, Kumiko Tanaka-Ishii

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.

Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering

Shizhe Hu, Jiahao Fan, Guoliang Zou et al.

Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations

Haziq Razali, Yiannis Demiris

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen et al.

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology

Xiaolin Hu, Zixuan Gong, Gengze Xu et al.

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

Fan Zhou, Chen Pan, Lintao Ma et al.

Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation

Changgu Chen, Junwei Shu, Gaoqi He et al.

LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration

Sangmin Lee, Woojin Chung, Hong-Goo Kang

Equilibria of the Colonel Blotto Games with Costs

Stanisław Kaźmierowski

Generalized Variational Inference via Optimal Transport

Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.

Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems

Jitao Xu, Yaling Wu, Hongbo Li et al.

ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis

Xiangheng He, Junjie Chen, Zixing Zhang et al.

Combating Semantic Contamination in Learning with Label Noise

Wenxiao Fan, Kan Li

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics

Yu Wen, Chen Zhang, Chenhao Xie et al.

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game

Xiaobing Chen, Xiangwei Zhou, Songyang Zhang et al.

Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction

Ke Fei, Xinyue Zhang, Jingjing Li

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion

Tengfei Ma, Yujie Chen, Liang Wang et al.

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing

Weiwei Xing, Yue Cheng, Hongzhu Yi et al.

Few-Shot Domain Adaptation for Learned Image Compression

Tianyu Zhang, Haotian Zhang, Yuqi Li et al.

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

David Nguyen, David Liebowitz, Salil Kanhere et al.

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

Jun Chen, Hong Chen, Bin Gu et al.

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian

Investigating Relational State Abstraction in Collaborative MARL

Sharlin Utke, Jeremie Houssineau, Giovanni Montana

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering

Hao Jiang, Yang Jin, Zhicheng Sun et al.

Column-Oriented Datalog on the GPU

Yihao Sun, Sidharth Kumar, Thomas Gilray et al.

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning

Junsu Kim, Suhyun Kim

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Yu Liu, Runzhe Wan, James McQueen et al.

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.

Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm

Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.

Approximating Optimal Labelings for Temporal Connectivity

Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen

An Enhanced Levenberg--Marquardt Method via Gram Reduction

Chengchang Liu, Luo Luo, John C.S. Lui

Iterative Counterfactual Data Augmentation

Mitchell Plyler, Min Chi

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck

Zhibin Ni, Chang Liu, Hai Wan et al.

GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data

Rui Deng, Ziqi Li, Mingshu Wang

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems

Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.

Enhanced Denesity Peak Clustering for High-Dimensional Data

Zhongli Wang, Jie Yang, Junyi Guan et al.

Speed Master: Quick or Slow Play to Attack Speaker Recognition

Zhe Ye, Wenjie Zhang, Ying Ren et al.

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley et al.

Joint Knowledge Editing for Information Enrichment and Probability Promotion

Wenhang Shi, Yiren Chen, Shuqing Bian et al.

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.

Commitment to Sparse Strategies in Two-Player Games

Salam Afiouni, Jakub Černý, Chun Kai Ling et al.

Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning

Shengheng Liu, Tianqi Zhang, Ningning Fu et al.

Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series

Seokho Ahn, Hyungjin Kim, Sungbok Shin et al.

Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency

Haipeng Guo, Huanyu Liu, Jiazheng Wen et al.

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning

Jiahao Lai, Jiaqi Li, Jian Xu et al.

SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning

Xu Wan, Chao Yang, Cheng Yang et al.

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods

Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak et al.

EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene

Yixiong Huo, Guangfeng Jiang, Hongyang Wei et al.

FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models

Mohammadreza Samadi, Fred X. Han, Mohammad Salameh et al.

Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation

Yibo Wang, Yingchun Jian, Wenhao Yang et al.

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights

Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.

Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction

Mohan Gao, Kexin Xu, Xiaofeng Gao et al.

Multi-Apartment Rent Division

Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang

Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing

Jianjian Liu, Zhengtao Yu, Ying Li et al.

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Yongyan Wen, Siyuan Li, Rongchang Zuo et al.

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

On the Power of Randomization for Obviously Strategy-Proof Mechanisms

Shiri Ron, Daniel Schoepflin

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.

Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

Saman Ahmadi, Andrea Raith, Guido Tack et al.

The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance

Christopher Ratigan, Lenore Cowen

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding

Jiaze Wang, Yi Wang, Ziyu Guo et al.

Dimension Reduction for Symbolic Regression

Paul Kahlmeyer, Markus Fischer, Joachim Giesen

Sequential Joint Dependency Aware Human Pose Estimation with State Space Model

Hanxi Yin, Shaodi You, Jungong Han et al.

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

Yihao, Limei Hu, Feng Chen et al.

Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References

Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

Sangho Lee, Il Yong Chun, Hogun Park

Global-Semantic Alignment Distillation for Partial Multi-view Classification

Xiaoli Wang, Anqi Huang, Yongli Wang et al.

SEC: More Accurate Clustering Algorithm via Structural Entropy

Junyu Huang, Qilong Feng, Jiahui Wang et al.

Cross-Validated Off-Policy Evaluation

Matej Cief, Branislav Kveton, Michal Kompan

Explainable Neural Networks with Guarantee: A Sparse Estimation Approach

Antoine Ledent, Peng Liu

Moral Uncertainty and the Problem of Fanaticism

Jazon Szabo, Natalia Criado, Jose Such et al.

Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition

Xingmei Wang, Jinghan Liu, Jiaxiang Meng et al.

Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving

Changhai Zhou, Yuhua Zhou, Shiyang Zhang et al.

Noisy Correspondence Rectification via Asymmetric Similarity Learning

Yunbo Wang, YuJie Wu, Zhien Dai et al.

Can Private Machine Learning Be Fair?

Joseph Rance, Filip Svoboda

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method

Mingquan Feng, Zhijie Chen, Yixin Huang et al.

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach

Johan Peralez, Aurélien Delage, Jacopo Castellini et al.

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition

Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

Peize Li, Qingyi Si, Peng Fu 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.

Sparse3D: Distilling Multiview

Consistent Diffusion for Object Reconstruction from Sparse Views

MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

Shuying Huang, Ge Chen, Yong Yang et al.

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

Qingyun Zhang, YuMing Du, Zhipeng Lü et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification

Kai Sun, Hao Wu, Bin Shi et al.

Gaze Target Detection by Merging Human Attention and Activity Cues

Yaokun Yang, Yihan Yin, Feng Lu

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation

Shicheng Wang, Hengzhu Tang, Li Gao et al.

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

Fanshen Meng, Zhenhua Meng, Ru Jin et al.

Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation

Mingyang Lv, Xiangfeng Liu, Yuanbo Xu

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

Mingtao Xu, Wei Wei, Peixuan Yang et al.

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

Disentangled Partial Label Learning

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Hao Wang, Biqin Song, Hao Deng et al.

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality

Guipeng Lan, Shuai Xiao, Jiachen Yang et al.

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

MIND: Multi

Task Incremental Network Distillation

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks

Ao Liu, Wenshan Li, Beibei Li et al.

SphereDiffusion: Spherical Geometry

Aware Distortion Resilient Diffusion Model

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation

Wenjie Zhang, Jun Yin, Long Ma et al.

MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information

Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

Qingsong Liu, Zhixuan Fang

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

Junao Shen, Kun Kuang, Jiaheng Wang et al.

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains

Md Nasim, Yexiang Xue

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong, Suneung Kim, Ho-Joong Kim et al.

Toward Open

Set Human-Object Interaction Detection

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.

Privacy-and-Utility-Aware Publishing of Schedules

Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.

DVANet: Disentangling View and Action Features for Multi

View Action Recognition

Learning Performance Maximizing Ensembles with Explainability Guarantees

Vincent Pisztora, Jia Li

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging

Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.

Towards Epistemic-Doxastic Planning with Observation and Revision

Thorsten Engesser, Andreas Herzig, Elise Perrotin

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

Hao Wu, Yuxuan Liang, Wei Xiong et al.

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?

Markus Hecher, Rafael Kiesel

Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning

Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.

Lifelong Scalable Generative System via Online Maximum Mean Discrepancy

Fei Ye, Adrian G. Bors

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning

Jianfeng Li, Jiawen Zhang, Feng Wang et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.

Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures

Yulong Wang

Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing

Shanbao Qiao, Xuebing Liu, Seung-Hoon Na