Most Cited AAAI "compiler optimization" Papers

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

Xiaopei Wu, Liang Peng, Liang Xie et al.

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images

Hongyi Wang, Xiuju Du, Jing Liu et al.

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman

VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression

Qiang Hu, Houqiang Zhong, Zihan Zheng et al.

Destroy and Repair Using Hyper-Graphs for Routing

Ke Li, Fei Liu, Zhenkun Wang et al.

High-Fidelity Diffusion-Based Image Editing

Chen Hou, Guoqiang Wei, Zhibo Chen

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

Zhiwei Yang, Yucong Meng, Kexue Fu et al.

Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis

Francesco Kriegel

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions

Adam Ishay, Joohyung Lee

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.

iMoT: Inertial Motion Transformer for Inertial Navigation

Son Minh Nguyen, Duc Viet Le, Paul Havinga

WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection

Yan Hong, Jianming Feng, Haoxing Chen et al.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui-Yue Yang, Hui Chen, Ao Wang et al.

All-in-One: Transferring Vision Foundation Models into Stereo Matching

Jingyi Zhou, Haoyu Zhang, Jiakang Yuan et al.

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation

Jingkun An, Yinghao Zhu, Zongjian Li et al.

MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition

Yang Yang, Xunde Dong, Yupeng Qiang

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities

Zhibo Tian, Ruijie Quan, Fan Ma et al.

VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning

Ji Soo Lee, Jongha Kim, Jeehye Na et al.

LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding

Yuan Wang, Ya-Li Li, W U Eastman Z Y et al.

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues

Tao He, Lizi Liao, Yixin Cao et al.

Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning

Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

Machine-Created Universal Language for Cross-Lingual Transfer

Yaobo Liang, Quanzhi Zhu, Junhe Zhao et al.

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models

Jiaxiang Liu, Tianxiang Hu, Jiawei Du et al.

Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views

Shuai Guo, Qiuwen Wang, Yijie Gao et al.

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

Rui Song, Fausto Giunchiglia, Yingji Li et al.

Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks

Yiyi Chen, Russa Biswas, Heather Lent et al.

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

Youngjae Cho, HeeSun Bae, Seungjae Shin et al.

Multi-Granular Multimodal Clue Fusion for Meme Understanding

Li Zheng, Hao Fei, Ting Dai et al.

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism

Yu Liang, Wenjie Wei, Ammar Belatreche et al.

DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation

Xiankang He, Guangkai Xu, Bo Zhang et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network

Xiang Fang, Wanlong Fang, Changshuo Wang et al.

Link Prediction in Multilayer Networks via Cross-Network Embedding

Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.

GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue

Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus et al.

Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space

Hyunjee Lee, Youngsik Yun, Jeongmin Bae et al.

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao et al.

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.

Asynchronous Federated Clustering with Unknown Number of Clusters

Yunfan Zhang, Yiqun Zhang, Yang Lu et al.

Cross-View Referring Multi-Object Tracking

Sijia Chen, En Yu, Wenbing Tao

Graph Context Transformation Learning for Progressive Correspondence Pruning

Junwen Guo, Guobao Xiao, Shiping Wang et al.

FloNa: Floor Plan Guided Embodied Visual Navigation

Jiaxin Li, Weiqi Huang, Zan Wang et al.

REGLO: Provable Neural Network Repair for Global Robustness Properties

Feisi Fu, Zhilu Wang, Weichao Zhou et al.

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Gaoge Han, Shaoli Huang, Mingming Gong et al.

MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context

Shuai Lyu, Rongchen Zhang, Zeqi Ma et al.

MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification

Jimin Park, AHyun Ji, Minji Park et al.

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion

Shulei Ji, Xinyu Yang

DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models

Yitian Liu, Zhouhui Lian

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

Jiaxiang Gou, Luping Ji, Pei Liu et al.

Data-Free Hard-Label Robustness Stealing Attack

Xiaojian Yuan, Kejiang Chen, Wen Huang et al.

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra et al.

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes

Yiyuan Liang, Zhiying Yan, Liqun Chen et al.

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings

Bowen Deng, Tong Wang, Lele Fu et al.

Learning Visual Abstract Reasoning through Dual-Stream Networks

Kai Zhao, Chang Xu, Bailu Si

In-Hand 3D Object Reconstruction from a Monocular RGB Video

Shijian Jiang, Qi Ye, Rengan Xie et al.

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks

Ziqing Wang, Yuetong Fang, Jiahang Cao et al.

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang et al.

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception

Bohan Li, Yasheng Sun, Jingxin Dong et al.

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning

Hui Fang, Yang Gao, Peng Zhang et al.

CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird’s Eye View Perception

Senkang Hu, Yihang Tao, Guowen Xu et al.

MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer

Shurong Yang, Huadong Li, Juhao Wu et al.

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, Guojun Xiong, Jian Li

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Zhengyi Li, Menglu Li, Lida Zhu et al.

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images

Ruohua Shi, Lingyu Duan, Tiejun Huang et al.

GLDL: Graph Label Distribution Learning

Yufei Jin, Richard Gao, Yi He et al.

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model

Qi Zang, Jiayi Yang, Shuang Wang et al.

A Goal Interaction Graph Planning Framework for Conversational Recommendation

Xiaotong Zhang, Xuefang Jia, Han Liu et al.

Axiomatic Aggregations of Abductive Explanations

Gagan Biradar, Yacine Izza, Elita Lobo et al.

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang et al.

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration

Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.

Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

Luis Roque, Vítor Cerqueira, Carlos Soares et al.

DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation

Jisoo Kim, Jungbin Cho, Joonho Park et al.

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

Yutong Wu, Di Huang, Wenxuan Shi et al.

Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them

Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi et al.

Learning Robust Rationales for Model Explainability: A Guidance-Based Approach

Shuaibo Hu, Kui Yu

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

Zichen Wang, Hao Miao, Senzhang Wang et al.

Multi-Focus Image Fusion via Explicit Defocus Blur Modelling

Yuhui Quan, Xi Wan, Zitao Tang et al.

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label

Quanjiang Li, Tingjin Luo, Mingdie Jiang et al.

VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion

Meng Wang, Huilong Pi, Ruihui Li et al.

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation

Feilong Tang, Zhongxing Xu, Ming Hu et al.

Context Enhanced Transformer for Single Image Object Detection in Video Data

Seungjun An, Seonghoon Park, Gyeongnyeon Kim et al.

Robust 3D Tracking with Quality-Aware Shape Completion

Jingwen Zhang, Zikun Zhou, Guangming Lu et al.

DIUSum: Dynamic Image Utilization for Multimodal Summarization

Min Xiao, Junnan Zhu, Feifei Zhai et al.

Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection

Yuhao Huang, Sanping Zhou, Junjie Zhang et al.

CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues

Authors: Linglin Jing, Sheng Xu, Yifan Wang et al.

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

Xujian Liang, Zhaoquan Gu

(Almost Full) EFX for Three (and More) Types of Agents

Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar et al.

Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

Decheng Liu, Zongqi Wang, Chunlei Peng et al.

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings

Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov et al.

MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval

Haoran Tang, Meng Cao, Jinfa Huang et al.

Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors

Xiao Teng, Long Lan, Dingyao Chen et al.

CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization

Nan Chen, Mengqi Huang, Zhuowei Chen et al.

Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics

Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation

Wei Chen, Guo Ye, Yakun Wang et al.

A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis

Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee

PointPatchMix: Point Cloud Mixing with Patch Scoring

Yi Wang, Jiaze Wang, Jinpeng Li et al.

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu et al.

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models

Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

Dong Chen, Ning Liu, Yichen Zhu et al.

Constrained Fair and Efficient Allocations

Benjamin Cookson, Soroush Ebadian, Nisarg Shah

Feature Denoising Diffusion Model for Blind Image Quality Assessment

Xudong Li, Yan Zhang, Yunhang Shen et al.

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Wenze Chen, Shiyu Huang, Yuan Chiang et al.

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian et al.

MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization

Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo et al.

Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning

Ancong Wu, Wei-shi Zheng

ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision

Ke Xu, Tsun Wai Siu, Rynson W.H. Lau

Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning

Bang Yang, Yong Dai, Xuxin Cheng et al.

An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems

Junyi Ye, Jingyi Gu, Xinyun Zhao et al.

Intrinsic Phase-Preserving Networks for Depth Super Resolution

Xuanhong Chen, Hang Wang, Jinfan Liu et al.

A Primal-Dual Algorithm for Hybrid Federated Learning

Tom Overman, Garrett Blum, Diego Klabjan

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu et al.

DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem

Shipei Zhou, Yuandong Ding, Chi Zhang et al.

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis

Jiexi Liu, Meng Cao, Songcan Chen

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving

Xuesong Chen, Shaoshuai Shi, Tao Ma et al.

HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models

Zhifeng Xie, Hao Li, Huiming Ding et al.

Noise-Free Optimization in Early Training Steps for Image Super-resolution

MinKyu Lee, Jae-Pil Heo

Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios

Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao et al.

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

Expressive Forecasting of 3D Whole-Body Human Motions

Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.

VIXEN: Visual Text Comparison Network for Image Difference Captioning

Alexander Black, Jing Shi, Yifei Fan et al.

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

Aosong Feng, Weikang Qiu, Jinbin Bai et al.

Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos

Shankhanil Mitra, Rajiv Soundararajan

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video

Junkai Fan, Kun Wang, Zhiqiang Yan et al.

Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis

Xingyilang Yin, Xi Yang, Liangchen Liu et al.

BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking

Yuxuan Liu, Hongda Sun, Wenya Guo et al.

Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class

Annie D'souza, Swetha M, Sunita Sarawagi

Hierarchical Vector Quantization for Unsupervised Action Segmentation

Federico Spurio, Emad Bahrami, Gianpiero Francesca et al.

LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba

Yubo Cui, Zhiheng Li, Jiaqiang Wang et al.

Improved Anonymous Multi Agent Path Finding Algorithm

Zain Alabedeen Ali, Konstantin Yakovlev

GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions

Heda Zuo, Weitao You, Junxian Wu et al.

Learning Subject-Aware Cropping by Outpainting Professional Photos

James Hong, Lu Yuan, Michaël Gharbi et al.

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling

Jie Ruan, Xiao Pu, Mingqi Gao et al.

Unlocking the Potential of Reverse Distillation for Anomaly Detection

Xinyue Liu, Jianyuan Wang, Biao Leng et al.

Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination

Qi Bi, Jingjun Yi, Haolan Zhan et al.

Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction

Cheng Xu, Fei Hou, Wencheng Wang et al.

GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs

Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.

Regret Analysis of Repeated Delegated Choice

Suho Shin, Keivan Rezaei, Mohammad Hajiaghayi et al.

TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition

Jianhua Zhu, Wenqi Zhao, Yu Li et al.

CatmullRom Splines-Based Regression for Image Forgery Localization

Li Zhang, Mingliang Xu, Dong Li et al.

Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance

Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng

A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning

Xiaoming Hu, Zilei Wang

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Yujing Wang, Hainan Zhang, Liang Pang et al.

1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations

Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Learning Diverse Risk Preferences in Population-Based Self-Play

Yuhua Jiang, Qihan Liu, Xiaoteng Ma et al.

Offline-to-Online Hyperparameter Transfer for Stochastic Bandits

Dravyansh Sharma, Arun Suggala

DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors

Xiaze Zhang, Ziheng Ding, Qi Jing et al.

OpenViewer: Openness-Aware Multi-View Learning

Shide Du, Zihan Fang, Yanchao Tan et al.

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval

Yuan Li, Liangli Zhen, Yuan Sun et al.

Optimal Survival Trees: A Dynamic Programming Approach

Tim Huisman, Jacobus van der Linden, Emir Demirović

FaceMe: Robust Blind Face Restoration with Personal Identification

Siyu Liu, Zheng-Peng Duan, Jia OuYang et al.

Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective

Yujia Chen, Rui Sun, Wangkai Li et al.

Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation

Xie Tianyidan, Rui Ma, Qian Wang et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies

Zhao Shan, Chenyou Fan, Shuang Qiu et al.

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection

Chenxu Wang, Chunyan Xu, Xiang Li et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Evaluating LLM Reasoning in the Operations Research Domain with ORQA

Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection

Chaowei Zhang, Zongling Feng, Zewei Zhang et al.

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning

Qiwei Li, Jiahuan Zhou

Large-Scale Multi-Robot Coverage Path Planning via Local Search

Jingtao Tang, Hang Ma

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning

Zhe-Rui Yang, Jindong Han, Chang-Dong Wang et al.

Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification

Wenbo Dai, Lijing Lu, Zhihang Li

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth et al.

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things

Yaoyao Zhong, Mengshi Qi, Rui Wang et al.

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Yixuan Zhang, Boyu Li, Zenan Ling et al.

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

Zining Chen, Xingshuang Luo, Weiqiu Wang et al.

Zero-Shot Scene Change Detection

Kyusik Cho, Dong Yeop Kim, Euntai Kim

Non-flat ABA Is an Instance of Bipolar Argumentation

Markus Ulbricht, Nico Potyka, Anna Rapberger et al.

DeblurSR: Event-Based Motion Deblurring under the Spiking Representation

Chen Song, Chandrajit Bajaj, Qixing Huang

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection

Haoling Li, Xin Zhang, Xiao Liu et al.

A Comprehensive Evaluation on Event Reasoning of Large Language Models

Zhengwei Tao, Zhi Jin, Yifan Zhang et al.

DuMo: Dual Encoder Modulation Network for Precise Concept Erasure

Feng Han, Kai Chen, Chao Gong et al.

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective

Yiming Xu, Zhen Peng, Bin Shi et al.

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Tengfei Liu, Jiapu Wang, Yongli Hu et al.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

Zongkai Liu, Qian Lin, Chao Yu et al.

PokerBench: Training Large Language Models to Become Professional Poker Players

Richard Zhuang, Akshat Gupta, Richard Yang et al.

Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification

Liangwei Chen, Xiren Zhou, Huanhuan Chen

Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models

Chenhui Hu, Pengfei Cao, Yubo Chen et al.