Most Cited AAAI "response regulation" Papers

LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction

Er Jin, Qihui Feng, Yongli Mou et al.

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting

Lingxiao Cao, Bin Wang, Guiyuan Jiang et al.

Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling

Shanshan Wang, Zhen Zeng, Xun Yang et al.

Hierarchical Classification Auxiliary Network for Time Series Forecasting

Yanru Sun, Zongxia Xie, Dongyue Chen et al.

Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation

Chengyang Ye, Yunzhi Zhuge, Pingping Zhang

Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation

Jiaqi Huang, Zunnan Xu, Ting Liu et al.

SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control

Binyuan Huang, Yuqing Wen, Yucheng Zhao et al.

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.

Training on the Benchmark Is Not All You Need

Shiwen Ni, Xiangtao Kong, Chengming Li et al.

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Chuxiong Sun, Zehua Zang, Jiabao Li et al.

3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering

Qingyuan Zhou, Weidong Yang, Ben Fei et al.

ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization

Shuoran Jiang, Qingcai Chen, Yang Xiang et al.

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training

Weiyu Huang, Yuezhou Hu, Guohao Jian et al.

SAVSR: Arbitrary-Scale Video Super-resolution via a Learned Scale-Adaptive Network

Zekun Li, Hongying Liu, Fanhua Shang et al.

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

Jing Wang, Jiangyun Li, Chen Chen et al.

Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination

Qingwang Zhang, Yingying Zhu

Argumentative Large Language Models for Explainable and Contestable Claim Verification

Gabriel Freedman, Adam Dejl, Deniz Gorur et al.

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection

Luzhi Wang, Di Jin, He Zhang et al.

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders

Debo Cheng, Ziqi Xu, Jiuyong Li et al.

HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation

Huaxin Zhang, Xiang Wang, Xiaohao Xu et al.

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance

Shuwei Shi, Wenbo Li, Yuechen Zhang et al.

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Qirui Ji, Jiangmeng Li, Jie Hu et al.

Federated Learning with Extremely Noisy Clients via Negative Distillation

Yang Lu, Lin Chen, Yonggang Zhang et al.

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

Haojian Huang, Chuanyu Qin, Zhe Liu et al.

FLAME: A Small Language Model for Spreadsheet Formulas

Harshit Joshi, José Cambronero Sanchez, Abishai Ebenezer et al.

AdaDiff: Adaptive Step Selection for Fast Diffusion Models

Hui Zhang, Zuxuan Wu, Zhen Xing et al.

Controlling Large Language Models Through Concept Activation Vectors

Hanyu Zhang, Xiting Wang, Chengao Li et al.

SAFIRE: Segment Any Forged Image Region

Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam et al.

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Authors: Minh-Quan Le, Tam Nguyen, Trung-Nghia Le et al.

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception

Tingting Liu, Salvatore Giorgi, Ankit Aich et al.

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

Junyi Chen, Longteng Guo, Jia Sun et al.

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu et al.

Towards Squeezing-Averse Virtual Try-On via Sequential Deformation

Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities

Li Yangning, Tingwei Lu, Hai-Tao Zheng et al.

What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph

Yutao Jiang, Qiong Wu, Wenhao Lin et al.

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems

Alessio Gravina, Moshe Eliasof, Claudio Gallicchio et al.

StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching

Jixun Yao, Yang Yuguang, Yu Pan et al.

Offline Model-Based Optimization via Policy-Guided Gradient Search

Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.

Improved Graph Contrastive Learning for Short Text Classification

Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.

Conformal Autoregressive Generation: Beam Search with Coverage Guarantees

Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez

Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning

Zhiyue Liu, Jinyuan Liu, Fanrong Ma

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection

Songmin Dai, Yifan Wu, Xiaoqiang Li et al.

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening

Jie Huang, Rui Huang, Jinghao Xu et al.

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

Xinyuan Ji, Zhaowei Zhu, Wei Xi et al.

GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution

Jintong Hu, Bin Xia, Bin Chen et al.

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models

Shuaijie Shen, Chao Wang, Renzhuo Huang et al.

Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Ziyin Zhang, Ning Lu, Minghui Liao et al.

Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration

Ziheng Zhou, Jinxing Zhou, Wei Qian et al.

Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution

Zeyu Xiao, Zhuoyuan Li, Wei Jia

Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks

Siyu Zou, Jiji Tang, Yiyi Zhou et al.

Customizing Language Model Responses with Contrastive In-Context Learning

Xiang Gao, Kamalika Das

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

Nannan Wu, Zhaobin Sun, Zengqiang Yan et al.

Zero-Shot Aerial Object Detection with Visual Description Regularization

Chenyu Lin, Zhengqing Zang, Chenwei Tang et al.

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Yabing Wang, Fan Wang, Jianfeng Dong et al.

InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation

Yuchi Wang, Junliang Guo, Jianhong Bai et al.

ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment

Yicheng Zhong, Huawei Wei, Peiji Yang et al.

Underwater Organism Color Fine-Tuning via Decomposition and Guidance

Xiaofeng Cong, Jie Gui, Junming Hou

Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize

Sanket Shah, Bryan Wilder, Andrew Perrault et al.

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu et al.

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu et al.

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning

Xin Yu, Rongye Shi, Pu Feng et al.

Exploring Diverse Representations for Open Set Recognition

Yu Wang, Junxian Mu, Pengfei Zhu et al.

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Zichen Wen, Yawen Ling, Yazhou Ren et al.

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns

Yufeng Zhang, Xuepeng Wang, Lingxiang Wu et al.

Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering

Xiaowei Qian, Bingheng Li, Zhao Kang

QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead

Amir Zandieh, Majid Daliri, Insu Han

ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models

Chao Zeng, Songwei Liu, Yusheng Xie et al.

RPSC: Robust Pseudo-Labeling for Semantic Clustering

Sihang Liu, Wenming Cao, Ruigang Fu et al.

Transformer-Based Selective Super-resolution for Efficient Image Refinement

Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo et al.

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning

Jiawei Cheng, Jingyuan Wang, Yichuan Zhang et al.

Patch-Wise Graph Contrastive Learning for Image Translation

Chanyong Jung, Gihyun Kwon, Jong Chul Ye

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Lirong Wu, Yufei Huang, Cheng Tan et al.

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

Jihong Ouyang, Zhiyao Yang, Silong Liang et al.

MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls

Yuxuan Bian, Ailing Zeng, Xuan Ju et al.

Code-Style In-Context Learning for Knowledge-Based Question Answering

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang et al.

Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation

Shaofei Huang, Rui Ling, Hongyu Li et al.

Weighted Envy-Freeness for Submodular Valuations

Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong et al.

Repeated Fair Allocation of Indivisible Items

Ayumi Igarashi, Martin Lackner, Oliviero Nardi et al.

WebVLN: Vision-and-Language Navigation on Websites

Qi Chen, Dileepa Pitawela, Chongyang Zhao et al.

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding

Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.

M-BEV: Masked BEV Perception for Robust Autonomous Driving

Siran Chen, Yue Ma, Yu Qiao et al.

Agile Multi-Source-Free Domain Adaptation

Xinyao Li, Jingjing Li, Fengling Li et al.

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection

Gwladys Kelodjou, Laurence Rozé, Véronique Masson et al.

Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models

Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee et al.

Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking

Jiawen Zhu, Huayi Tang, Xin Chen et al.

Augmented Commonsense Knowledge for Remote Object Grounding

Bahram Mohammadi, Yicong Hong, Yuankai Qi et al.

BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning

Shengqiong Wu, Hao Fei, Liangming Pan et al.

Text Image Inpainting via Global Structure-Guided Diffusion Models

Shipeng Zhu, Pengfei Fang, Chenjie Zhu et al.

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors

Hao Shi, Weili Song, Xinting Zhang et al.

AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes

Chaoran Feng, Wangbo Yu, Xinhua Cheng et al.

FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation

Yanlu Cai, Weizhong Zhang, Yuan Wu et al.

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach

Haiping Ma, Changqian Wang, Hengshu Zhu et al.

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

Boyi Deng, Wenjie Wang, Fengbin Zhu et al.

Deep Incomplete Multi-View Learning Network with Insufficient Label Information

Zhangqi Jiang, Tingjin Luo, Xinyan Liang

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun et al.

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents

Arrasy Rahman, Jiaxun Cui, Peter Stone

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang et al.

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement

Yunlong Lin, Tian Ye, Sixiang Chen et al.

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection

Kaiqing Lin, Yuzhen Lin, Weixiang Li et al.

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao et al.

Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection

Hanzhe Liang, Guoyang Xie, Chengbin Hou et al.

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification

Zhen Liu, Wenbin Pei, Disen Lan et al.

Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising

Junyi Li, Zhilu Zhang, Wangmeng Zuo

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin et al.

Design Principle Transfer in Neural Architecture Search via Large Language Models

Xun Zhou, Xingyu Wu, Liang Feng et al.

Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence

Shengbo Wang, Ke Li

EAT: Towards Long-Tailed Out-of-Distribution Detection

Tong Wei, Bo-Lin Wang, Min-Ling Zhang

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation

6428 Can Xu, Haosen Wang, Weigang Wang et al.

Deep Quantum Error Correction

Yoni Choukroun, Lior Wolf

ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining

Dezhi Peng, Chongyu Liu, Yuliang Liu et al.

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning

Dongxiao He, Jitao Zhao, Cuiying Huo et al.

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding

Zhe Chen, Daniel Harabor, Jiaoyang Li et al.

A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking

Shezheng Song, Shan Zhao, ChengYu Wang et al.

MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo

Zhenlong Yuan, Cong Liu, Fei Shen et al.

S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners

Yuchen Yan, Jin Jiang, Yang Liu et al.

Diverse Person: Customize Your Own Dataset for Text-Based Person Search

Zifan Song, Guosheng Hu, Cairong Zhao

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data

Renxiang Guan, Wenxuan Tu, Siwei Wang et al.

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting

Tong Ye, Yangkai Du, Tengfei Ma et al.

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues

Bobo Li, Hao Fei, Lizi Liao et al.

STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction

Xi Ye, Guillaume-Alexandre Bilodeau

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao et al.

Layer Collaboration in the Forward-Forward Algorithm

Guy Lorberbom, Itai Gat, Yossi Adi et al.

FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency

Han Huang, Yulun Wu, Chao Deng et al.

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation

Zhifei Yang, Keyang Lu, Chao Zhang et al.

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback

Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash et al.

What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning

Yiran Ma, Zui Chen, Tianqiao Liu et al.

Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

Sungyoon Kim, Yunseon Choi, Daiki Matsunaga et al.

MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement

Xu He, Zhiyong Wu, Xiaoyu Li et al.

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu et al.

Gradient-Guided Modality Decoupling for Missing-Modality Robustness

Towards Adversarially Robust Dataset Distillation by Curvature Regularization

Eric Xue, Yijiang Li, Haoyang Liu et al.

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks

Tran Huynh, Dang Nguyen, Tung Pham et al.

A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis

Tianshuo Peng, Zuchao Li, Ping Wang et al.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

HaiTao Yu, Mofei Song

Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control

Zunnan Xu, Yachao Zhang, Sicheng Yang et al.

Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation

Feng Zhou, Jianqin Yin, Peiyang Li

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection

Junjun Pan, Yixin Liu, Xin Zheng et al.

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching

Wenxiang Guo, Yu Zhang, Changhao Pan et al.

Clean-Label Graph Backdoor Attack in the Node Classification Task

Hui Xia, Xiangwei Zhao, Rui Zhang et al.

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan et al.

Spectral-Based Graph Neutral Networks for Complementary Item Recommendation

Haitong Luo, Xuying Meng, Suhang Wang et al.

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Social Physics Informed Diffusion Model for Crowd Simulation

Hongyi Chen, Jingtao Ding, Yong Li et al.

Toward Falsifying Causal Graphs Using a Permutation-Based Test

Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor et al.

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering

Shengju Yu, Siwei Wang, Pei Zhang et al.

Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements

Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami

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

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information

Kaifan Zhang, Lihuo He, Xin Jiang et al.

Relightable and Animatable Neural Avatars from Videos

Wenbin Lin, Chengwei Zheng, Jun-hai Yong et al.

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.

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

Seungjun Lee, TaeIL Oh

Image Captioning with Multi-Context Synthetic Data

Feipeng Ma, Y. Zhou, Fengyun Rao et al.

Dense Projection for Anomaly Detection

Dazhi Fu, Zhao Zhang, Jicong Fan

Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection

Fenfang Tao, Guo-Sen Xie, Fang Zhao et al.

TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation

Yanyong Huang, Minghui Lu, Wei Huang et al.

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

Video Diffusion Models Are Strong Video Inpainter

Minhyeok Lee, Suhwan Cho, Chajin Shin et al.

Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding

6627 Peijun Bao, Yong Xia, Wenhan Yang et al.

SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration

Kezheng Xiong, Maoji Zheng, Qingshan Xu et al.

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Region-Aware Exposure Consistency Network for Mixed Exposure Correction

Jin Liu, Huiyuan Fu, Chuanming Wang et al.

UniDet3D: Multi-dataset Indoor 3D Object Detection

Maksim Kolodiazhnyi, Anna Vorontsova, Matvey Skripkin et al.

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs

Lei Zhang, Yunshui Li, Jiaming Li et al.

LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation

Yuchen Su, Zhineng Chen, Zhiwen Shao et al.

Neural Oscillators for Generalization of Physics-Informed Machine Learning

Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection

Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Camara Gomes et al.

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak

Semi-supervised Active Learning for Video Action Detection

Ayush Singh, Aayush J Rana, Akash Kumar et al.

Music Style Transfer with Time-Varying Inversion of Diffusion Models

Sifei Li, Yuxin Zhang, Fan Tang et al.

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models

Weilun Feng, Haotong Qin, Chuanguang Yang et al.

Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction

Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru et al.

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning

Jingdi Chen, Tian Lan, Carlee Joe-Wong

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

Decomposing Semantic Shifts for Composed Image Retrieval

Xingyu Yang, Daqing Liu, Heng Zhang et al.

What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction

Shuo Wang, Zhihao Wu, X. Hu et al.

Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment

Yongxu Liu, Yinghui Quan, Guoyao Xiao et al.

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Haisong Gong, Weizhi Xu, Shu Wu et al.

Cross-modulated Attention Transformer for RGBT Tracking

Yun Xiao, Jiacong Zhao, Andong Lu et al.

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

Yaming Yang, Dilxat Muhtar, Yelong Shen et al.

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Yixin Liu, Kaidi Xu, Xun Chen et al.

Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree

Xiangxiang Gao, Weisheng Xie, Yiwei Xiang et al.

Controllable 3D Face Generation with Conditional Style Code Diffusion

Weakly Supervised Open-Vocabulary Object Detection

Jianghang Lin, Yunhang Shen, Bingquan Wang et al.

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting

Lingting Zhu, Guying Lin, Jinnan Chen et al.

Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving

Yuhang Lu, Yichen Yao, Jiadong Tu et al.