Most Cited AAAI "temporal coding" Papers

12087 Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs

Chuancheng Song, Xixun Lin, Hanyang Shen et al.

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion

Yuming Qiao, Fanyi Wang, Jingwen Su et al.

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints

Yash Sinha, Murari Mandal, Mohan Kankanhalli

A General Theoretical Framework for Learning Smallest Interpretable Models

Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.

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

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization

Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries

Pengwei Liu, Pengkai Wang, Xingyu Ren et al.

Delay as Payoff in MAB

Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

VPDETR: End-to-End Vanishing Point DEtection TRansformers

Taiyan Chen, Xianghua Ying, Jinfa Yang et al.

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques

Junhao Liu, Xin Zhang

EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction

Chengjie Ge, Xueyang Fu, Peng He et al.

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

Shreya Shukla, Nakul Sharma, Manish Gupta et al.

Disentangling Tabular Data Towards Better One-Class Anomaly Detection

Jianan Ye, Zhaorui Tan, Yijie Hu et al.

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)

Kartik Singhal, Gautam Shroff

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma et al.

3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving

Boyi Sun, Yuhang Liu, Xingxia Wang et al.

Learning Diffusions under Uncertainty

Hao Huang, Qian Yan, Keqi Han et al.

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding

Yuan Tang, Xu Han, Xianzhi Li et al.

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan et al.

Hypercorrelation Evolution for Video Class-Incremental Learning

Sen Liang, Kai Zhu, Wei Zhai et al.

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Jingyu Zhang, Yilei Wang, Lang Qian et al.

Towards Scalable and Deep Graph Neural Networks via Noise Masking

Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Ruixiao Zhang, Tianchi Huang

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang et al.

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

Friendly Attacks to Improve Channel Coding Reliability

Anastasiia Kurmukova, Deniz Gunduz

Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning

Dunqiang Liu, Shujun Huang, Wen Li et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

Yuxin Wang, Zunlei Feng, Haofei Zhang et al.

Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction

Deng Xu, Chao Zhang, Cong Guo et al.

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao et al.

Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning

Zhuyang Xie, Yan Yang, Yankai Yu et al.

Differential Alignment for Domain Adaptive Object Detection

Xinyu He, Xinhui Li, Xiaojie Guo

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition

Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.

Neural Networks Perform Sufficient Dimension Reduction

Shuntuo Xu, Zhou Yu

Holistic Semantic Representation for Navigational Trajectory Generation

Ji Cao, Tongya Zheng, Qinghong Guo et al.

Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising

Huaqiu Li, Wang Zhang, Xiaowan Hu et al.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

Lin Yuan, Jun Xu, Honghao Gui et al.

Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence

Zixi Chen, Yumin Xu, Ruixun Zhang

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning

Wenyao Ni, Jiangrong Shen, Qi Xu et al.

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL

Lang Qin, Ziming Wang, Runhao Jiang et al.

Enhancing Multi-View Classification Reliability with Adaptive Rejection

Wei Liu, Yufei Chen, Xiaodong Yue

Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi et al.

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers

Ruofei Wang, Hongzhan Lin, Ziyuan Luo et al.

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.

Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters

Weigao Sun, Yongtuo Liu, Xiaqiang Tang et al.

SPACETIME: Causal Discovery from Non-Stationary Time Series

Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net

Puyuan Guo, Tuo Hao, Wenxin Fu et al.

Active Reinforcement Learning Strategies for Offline Policy Improvement

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta et al.

An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types

Hao Dong, Zheyuan Shi, Hemeng Zeng et al.

GAS: Generative Activation-Aided Asynchronous Split Federated Learning

Jiarong Yang, Yuan Liu

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network

Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.

SigStyle: Signature Style Transfer via Personalized Text-to-Image Models

Ye Wang, Tongyuan Bai, Xuping Xie et al.

On Inference Stability for Diffusion Models

Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.

Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild

Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Fabian Christian Spaeh, Alina Ene, Huy Nguyen

HVIS: A Human-like Vision and Inference System for Human Motion Prediction

Kedi Lyu, Haipeng Chen, Zhenguang Liu et al.

Spatial Annealing for Efficient Few-shot Neural Rendering

Yuru Xiao, Deming Zhai, Wenbo Zhao et al.

Reducing Divergence in Batch Normalization for Domain Adaptation

Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen

Fair Division with Social Impact

Michele Flammini, Gianluigi Greco, Giovanna Varricchio

A General Search-Based Framework for Generating Textual Counterfactual Explanations

Daniel Gilo, Shaul Markovitch

Formal Quality Measures for Predictors in Markov Decision Processes

Christel Baier, Sascha Klüppelholz, Jakob Piribauer et al.

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

Root Cause Explanation of Outliers under Noisy Mechanisms

Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Private Blotto: Viewpoint Competition with Polarized Agents

Kate Donahue, Jon Kleinberg

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning

Zhiqiang Li, Haiyong Bao, Menghong Guan et al.

Autoregressive Sequence Modeling for 3D Medical Image Representation

Siwen Wang, Churan Wang, Fei Gao et al.

HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation

Wentian Qu, Jiahe Li, Jian Cheng et al.

Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning

Jun-Xiang Mao, Yong Rui, Min-Ling Zhang

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Songtuan Lin, Conny Olz, Malte Helmert et al.

Abstract Action Scheduling for Optimal Temporal Planning via OMT

Stefan Panjkovic, Andrea Micheli

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu et al.

Mediation Analysis for Probabilities of Causation

Yuta Kawakami, Jin Tian

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

Yunqian Fan, Xiuying Wei, Ruihao Gong et al.

Zero-Shot Image Captioning with Multi-type Entity Representations

Delong Zeng, Ying Shen, Man Lin et al.

Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning

Yujing Wang, Hainan Zhang, Sijia Wen et al.

Multi-Scale Contrastive Learning for Video Temporal Grounding

Thong Thanh Nguyen, Yi Bin, Xiaobao Wu et al.

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning

Zhiming Li, Junzhe Jiang, Yushi Cao et al.

Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection

Hanlin Pan, Kunpeng Liu, Wanfu Gao

DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser

Jun Zhu, Yifu Li, Zhenchao Tang et al.

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

Sean Lamont, Michael Norrish, Amir Dezfouli et al.

Toward Efficient Data-Free Unlearning

Chenhao Zhang, Shaofei Shen, Weitong Chen et al.

Contrastive Functional Principal Component Analysis

Eric Zhang, Didong Li

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

Haocheng Huang, Jiaxin Chen, Jinyang Guo et al.

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.

Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs

Shinwoo An, Yeonsu Chang, Kyungjin Cho et al.

SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection

Bonan Ding, Jin Xie, Jing Nie et al.

HDformer: A Higher

Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.

RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution

Jiangang Wang, Qingnan Fan, Jinwei Chen et al.

Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion

Bing Xiong, Yue Peng, Ranran Zhang et al.

High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm

Jian Li, Yong Liu, Weiping Wang

Efficient Constraint Generation for Stochastic Shortest Path Problems

Johannes Schmalz, Felipe Trevizan

Channel Merging: Preserving Specialization for Merged Experts

Mingyang Zhang, Jing Liu, Ganggui Ding et al.

Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving

Ding Qiuyu, Hailong Cao, Tiejun Zhao

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter

Zirun Guo, Xize Cheng, Yangyang Wu et al.

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling

Haoran Li, Xingjian Li, Jiahua Shi et al.

MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation

Xiaodan Zhang, Yanzhao Shi, Junzhong Ji et al.

Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker

Xinyu Xiang, Qinglong Yan, Hao Zhang et al.

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

Haochun Wang, Sendong Zhao, Chi Liu et al.

Statistical Spatially Inhomogeneous Diffusion Inference

Yinuo Ren, Yiping Lu, Lexing Ying et al.

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection

Hongzhi Gao, Zheng Chen, Zehui Chen et al.

DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment

Gaofeng Liu, Zhiyuan Ma, Tao Fang

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction

Xuanyu Tian, Lixuan Chen, Qing Wu et al.

Community-Centric Graph Unlearning

Yi Li, Shichao Zhang, Guixian Zhang et al.

Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation

Yuwu Lu, Xue Hu, Waikeung Wong et al.

Symbolic Neural Ordinary Differential Equations

Xin Li, Chengli Zhao, Xue Zhang et al.

Differentiable Information Enhanced Model-Based Reinforcement Learning

Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.

GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance

Jingqiu Zhou, Lue Fan, Xuesong Chen et al.

A Layer Selection Approach to Test Time Adaptation

Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.

CohEx: A Generalized Framework for Cohort Explanation

Fanyu Meng, Xin Liu, Zhaodan Kong et al.

Causal Strategic Learning with Competitive Selection

Unified Graph Neural Networks Pre-training for Multi-domain Graphs

Mingkai Lin, Xiaobin Hong, Wenzhong Li et al.

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models

Yuchen Jiang, Xinyuan Zhao, Yihang Wu et al.

A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion

Jiawei Li, Hongwei Yu, Jiansheng Chen et al.

MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network

Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.

Symbolic Numeric Planning with Patterns

Matteo Cardellini, E. Giunchiglia, M. Maratea

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Jiahuan Wang, Hong Chen

Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation

Chao Jiang, Miqing Li

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization

Jiyoung Kim, Kyuhong Shim, Insu Lee et al.

DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue

Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Gaozheng Pei, Shaojie Lyu, Ke Ma et al.

Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks

Jia-Li Yin, Weijian Wang, Lyhwa et al.

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Ran Ma, Yixiong Zou, Yuhua Li et al.

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs

Songwei Zhao, Yuan Jiang, Zijing Zhang et al.

Enhancing Close-up Novel View Synthesis via Pseudo-labeling

Jiatong Xia, Libo Sun, Lingqiao Liu

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

Zhihao Ding, Ting Zhang, Yiran Li et al.

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.

Structural Entropy Guided Probabilistic Coding

Xiang Huang, Hao Peng, Li Sun et al.

Batch Normalization Is Blind to the First and Second Derivatives of the Loss

Zhanpeng Zhou, Wen Shen, Huixin Chen et al.

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization

Weibo Zhao, Yubin Shi, Xinyu Lyu et al.

Neural Conformal Control for Time Series Forecasting

Ruipu Li, Alexander Rodríguez

DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech

Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.

InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models

Kai Wang, Shaozhang Niu, Qixian Hao et al.

Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network

Zida Chen, Ziran Zhang, Haoying Li et al.

Navigating Label Ambiguity for Facial Expression Recognition in the Wild

JunGyu Lee, Yeji Choi, Haksub Kim et al.

A Scalable and Effective Alternative to Graph Transformers

Kaan Sancak, Zhigang Hua, Jin Fang et al.

GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.

Qingyang Zeng, Lin Shang

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Adaptive Dataset Quantization

Muquan Li, Dongyang Zhang, Qiang Dong et al.

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability

Hui Zeng, Sanshuai Cui, Biwei Chen et al.

ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions

Yunjie Tian, Tianren Ma, Lingxi Xie et al.

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection

Xing Liufu, Chaolei Tan, Xiaotong Lin et al.

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis

Yilong Zang, Lingfei Ren, Yue Li et al.

DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning

Chao Liu, Ting Zhao, Nenggan Zheng

Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation

Shentong Mo

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.

CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition

Weihao You, Pengcheng Wang, Changlong Li et al.

TETRIS: Towards Exploring the Robustness of Interactive Segmentation

Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models

Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le et al.

Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance

Rui Zou, Sannyuya Liu, Yawei Luo et al.

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation

Shunfan Zheng, Xiechi Zhang, Gerard de Melo et al.

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Mengxian Li, Qi Wang, Yongjun Xu

Low-Latency Space-Time Supersampling for Real-Time Rendering

Ruian He, Shili Zhou, Yuqi Sun et al.

PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting

Canchen Yang, Tianyu Geng, Jian Peng et al.

Domain Generalizable Person Search Using Unreal Dataset

Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA

Jian Lan, Diego Frassinelli, Barbara Plank

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Lin Chen, Zhijie Jia, Lechao Cheng et al.

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation

Yanna Ding, Zijie Huang, Xiao Shou et al.

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation

Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran et al.

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation

Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.

4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance

Kaihui Cheng, Ce Liu, Qingkun Su et al.

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Songjun Tu, Jingbo Sun, Qichao Zhang et al.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models

Chutian Meng, Fan Ma, Jiaxu Miao et al.

ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO

Daechul Ahn, Yura Choi, San Kim et al.

BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution

Zihao He, Shengchuan Zhang, Runze Hu et al.

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks

Jingyuan Qi, Minqian Liu, Ying Shen et al.

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

S. Rasoul Etesami, R. Srikant

Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property

I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.

InvSeg: Test-Time Prompt Inversion for Semantic Segmentation

Jiayi Lin, Jiabo Huang, Jian Hu et al.

Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size

Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis

Yu Zhu, Bo Lei, Chunfeng Song et al.

Speedup Techniques for Switchable Temporal Plan Graph Optimization

He Jiang, Muhan Lin, Jiaoyang Li

Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models

Hao Li, Ruoyuan Gong, Hao Jiang

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

Advancing Audio-Based Text Generation with Imbalance Preference Optimization

Zhenghao Zhou, Yongjie Liu, Chen Cao

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields

Yiyu Zhuang, Qi Zhang, Xuan Wang et al.

Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

Jiayi Kong, Xurui Song, Shuo Huai et al.

EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents

Mengna Zhu, Kaisheng Zeng, Mao Wang et al.

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images

Hongyu Yan, Yadong Mu

IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation

Qi Chen, Changli Wu, Jiayi Ji et al.

Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation

Mingjin Zhang, Wenteng Shang, Fei Gao et al.

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

Dongpan Chen, Dehui Kong, Jinghua Li et al.

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.

Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning

Zhe Wang, Suxue Ma, Kewen Wang et al.

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

Xiaobin Huang, Lei Song, Ke Xue et al.

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective

Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.