Most Cited AAAI "open-weight llms" Papers

Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification

Jie Chen, Xinyuan Liu, Xintong Liu et al.

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion

Haipeng Chen, Yuheng Yang, Yingda Lyu

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts

Dongpan Chen, Dehui Kong, Jinghua Li et al.

Sharpening Neural Implicit Functions with Frequency Consolidation Priors

Chao Chen, Yu-Shen Liu, Zhizhong Han

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Pengwei Yan, Kaisong Song, Zhuoren Jiang et al.

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Xiang Fang, Daizong Liu, Wanlong Fang et al.

FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text

Kailin Li, Lixin Yang, Zenan Lin et al.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi et al.

Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph

Yaolin Zheng, Hongbo Huang, Xiuying Wang et al.

KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences

Keng-Wei Chang, Zi-Ming Wang, Shang-Hong Lai

Robust Node Classification on Graph Data with Graph and Label Noise

Yonghua Zhu, Lei Feng, Zhenyun Deng et al.

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu et al.

Text2Relight: Creative Portrait Relighting with Text Guidance

Junuk Cha, Mengwei Ren, Krishna Kumar Singh et al.

Temporal Correlation Vision Transformer for Video Person Re-Identification

Pengfei Wu, Le Wang, Sanping Zhou et al.

QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects

Qihang Cao, Huangxun Chen

Object-level Geometric Structure Preserving for Natural Image Stitching

Wenxiao Cai, Wankou Yang

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue

Shuo Cai, Xinzhe Han, Shuhui Wang

Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval

Rui Cai, Zhiyu Dong, Jianfeng Dong et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

Emergent Communication for Numerical Concepts Generalization

Enshuai Zhou, Yifan Hao, Rui Zhang et al.

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

Yuntian Bo, Yazhou Zhu, Lunbo Li et al.

Simple Weak Coresets for Non-decomposable Classification Measures

Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.

YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang et al.

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

Large Language Models Are Neurosymbolic Reasoners

Meng Fang, Shilong Deng, Yudi Zhang et al.

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

Xinyu Zhang, Meng Kang, Shuai Lü

FedST: Federated Style Transfer Learning for Non-IID Image Segmentation

Boyuan Ma, Yin Xiang, Jing Tan et al.

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

Md Nasim, Yexiang Xue

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

Joseph Clements, Yingjie Lao

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung et al.

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

Dongha Kim, Yongchan Choi, Kunwoong Kim et al.

Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination

Qi Bi, Jingjun Yi, Haolan Zhan et al.

X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks

Zhipeng Qian, Yiwei Ma, Jiayi Ji et al.

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery

William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Margot Herin, Patrice Perny, Nataliya Sokolovska

Multi-Region Text-Driven Manipulation of Diffusion Imagery

Yiming Li, Peng Zhou, Jun Sun et al.

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

Ruisi Zhao, Mingming Li, Zheng Yang et al.

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

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

Liangwei Chen, Xiren Zhou, Huanhuan Chen

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction

Yajun An, Jiale Chen, Huan Lin et al.

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

Jingkun An, Yinghao Zhu, Zongjian Li et al.

High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification

Liuxiang Qiu, Si Chen, Yan Yan et al.

Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension

Mingmin Wu, Yuxue Hu, Yongcheng Zhang et al.

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain

Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Ruixiao Zhang, Tianchi Huang

Conformal Autoregressive Generation: Beam Search with Coverage Guarantees

Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification

Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim et al.

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang et al.

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation

Han Yang, Chuanguang Yang, Zhulin An et al.

Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios

Linlin Zhu, Heli Sun, Qunshu Gao et al.

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation

Hengde Zhu, Xiangyu Kong, Weicheng Xie et al.

Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization

Miao Zhang, Jiawei Wang, Kui Xiao et al.

Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning

Dengming Zhang, Weitao You, Ziheng Liu et al.

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing

DingYi Zeng, Yuchen Wang, Honglin Cao et al.

Chain-of-Thought Improves Text Generation with Citations in Large Language Models

Bin Ji, Huijun Liu, Mingzhe Du et al.

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

Machine Learning

Powered Combinatorial Clock Auction - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss et al.

InstructDoc: A Dataset for Zero

Shot Generalization of Visual Document Understanding with Instructions - Ryota Tanaka, Taichi Iki, Kyosuke Nishida et al.

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants

Xianrun Chen, Dachuan Xu, Yicheng Xu et al.

LSTKC: Long Short

Term Knowledge Consolidation for Lifelong Person Re-identification - Kunlun Xu, Xu Zou, Jiahuan Zhou

Interpretable3D: An Ad

Hoc Interpretable Classifier for 3D Point Clouds - Tuo Feng, Ruijie Quan, Xiaohan Wang et al.

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang et al.

DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment

Zijian Wu, Leijing Zhou, Shuanglin Li et al.

Abstract Action Scheduling for Optimal Temporal Planning via OMT

Stefan Panjkovic, Andrea Micheli

Talk Funny! A Large

Scale Humor Response Dataset with Chain-of-Humor Interpretation - Yuyan Chen, Yichen Yuan, Panjun Liu et al.

NaMa: Neighbor

Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images - Runqi Meng, Xiao Zhang, Shijie Huang et al.

Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier

Zachary Wojtowicz, Simon DeDeo

Transferable Adversarial Attacks for Object Detection Using Object

Aware Significant Feature Distortion - Xinlong Ding, Jiansheng Chen, Hongwei Yu et al.

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations

Yusong Wang, Xuanye Fang, Huifeng Yin et al.

DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy

Miaohui Wang, Zhenming Li, Wuyuan Xie

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni et al.

A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis

Chuanqi Tao, Jiaming Li, Tianzi Zang et al.

Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset

Bin Tang, Ke-Qi Pan, Miao Zheng et al.

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind

Haojun Shi, Suyu Ye, Xinyu Fang et al.

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks

Wei Miao, Jiangrong Shen, Qi Xu et al.

Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores

Ryo Masumura, Shota Orihashi, Mana Ihori et al.

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Fan Xu, Nan Wang, Hao Wu et al.

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Bootstrapping Large Language Models for Radiology Report Generation

Chang Liu, Yuanhe Tian, Weidong Chen et al.

Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis

Yinan Li, Jun Long, Zhan Yang

MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images

Jingmeng Li, Lukang Fu, Surun Yang et al.

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning

Chengtai Li, Yee Yang Tan, Yuting He et al.

Uncertainty-Aware GAN for Single Image Super Resolution

Deep Reinforcement Learning with Time-Scale Invariant Memory

Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training

Wenjun Li, Pradeep Varakantham

CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization

Jinbing Hou, Youpeng Zhao, Jian Zhao

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.

MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models

Xilin He, Haijian Liang, Boyi Peng et al.

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

Jianwu Li, Kaiyue Shi, Guo-Sen Xie et al.

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

Wang Yu Hsiang, Jun-Wei Hsieh, Ping-Yang Chen et al.

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.

SS-GEN: A Social Story Generation Framework with Large Language Models

Yi Feng, Mingyang Song, Jiaqi Wang et al.

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi et al.

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun et al.

LINGO-Space: Language-Conditioned Incremental Grounding for Space

Dohyun Kim, Nayoung Oh, Deokmin Hwang et al.

ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Jiexin Lu, Xiaowei Li et al.

Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations

Xuping Chen, Wuzhen Shi

BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

Ziqi Zhou, Bowen Li, Yufei Song et al.

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

Yulong Wang

Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

Shangjian Yin, Peijie Huang, Yuhong Xu

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

Zhenbang Zhang, Hongjia Li, Zhiqiang Xu et al.

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

Yudong Zhang, Xu Wang, Xuan Yu et al.

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network

Xiongqi Zhang, Junwei Xu, Yang Wang et al.

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles

Xin Zhang, Peiliang Zhang, Jingling Yuan et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting

Shiqi Zhang, Pan Mu, Cheng Huang et al.

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang et al.

Decoupled Optimisation for Long-Tailed Visual Recognition

Cong Cong, Shiyu Xuan, Sidong Liu et al.

Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao et al.

BERT-Based Code Learning for Exception Localization and Type Prediction

Chongyu Zhang, Qiping Tao, Liangyu Chen et al.

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Linmei Hu, Hongyu He, Duokang Wang et al.

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

Chaowei Zhang, Zongling Feng, Zewei Zhang et al.

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

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

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Disentangled Partial Label Learning

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

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution

Wenqian Dong, Yang Xu, Jiahui Qu et al.

ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding

Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Xi Zeng, Fei Ni, Shaoqing Jiao et al.

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB

Shengheng Liu, Xingkang Li, Zihuan Mao et al.

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

Zeqin Yu, Jiangqun Ni, Jian Zhang et al.

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.

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

Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection

Jiayi Gao, Kongming Liang, Tao Wei et al.

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location

Na Yu, Yutong Deng, Shunyu Liu et al.

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Chenyang Wang, Junjun Jiang, Kui Jiang et al.

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation

Xovee Xu, Yifan Zhang, Fan Zhou et al.

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Jiayu Chen, Zelai Xu, Yunfei Li et al.

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

Mikołaj Małkiński, Jacek Mańdziuk

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

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

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang et al.

SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images

Weihao Cheng, Yan-Pei Cao, Ying Shan

Collaborative Tooth Motion Diffusion Model in Digital Orthodontics

Yeying Fan, Guangshun Wei, Chen Wang et al.

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning

Dianyu Zhong, Yiqin Yang, Qianchuan Zhao

Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

Juntao Wu, Ziyu Song, Xiaoyu Zhang et al.

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

Yueqing Wang, Peng Zhang, Yushuang Liu et al.

CoVR: Learning Composed Video Retrieval from Web Video Captions

Lucas Ventura, Antoine Yang, Cordelia Schmid et al.

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

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

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

Xiaozheng Wang, Yong Yang, Shuying Huang et al.

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

Rui Sun, Zhi Zheng, Zhenkun Wang

$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules

Jiabao Wang, Zepeng Wu, Qian Dong et al.

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

Andreas Grivas, Antonio Vergari, Adam Lopez

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang et al.

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

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

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

Xiaozhuang Song, Yuzhao Tu, Hangting Ye et al.

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

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

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation

Xing Qiu, Guang Cheng, Weizhou Zhu et al.

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.

REGLO: Provable Neural Network Repair for Global Robustness Properties

Feisi Fu, Zhilu Wang, Weichao Zhou et al.

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo et al.

Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck

Zhibin Ni, Chang Liu, Hai Wan et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning

Li Ni, Rui Ye, Wenjian Luo et al.

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

Takashi Matsubara, Takaharu Yaguchi

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

GenAL: Generative Agent for Adaptive Learning

Rui Lv, Qi Liu, Weibo Gao et al.

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli 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.

BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking

Yuxuan Liu, Hongda Sun, Wenya Guo et al.

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

Patrick Altmeyer, Mojtaba Farmanbar, Arie Van Deursen et al.