Most Cited AAAI "prompt ensemble learning" Papers
5,317 papers found • Page 9 of 27
Conference
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
Shanyuan Liu, Bo Cheng, Yuhang Ma et al.
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Chengtai Li, Yee Yang Tan, Yuting He et al.
Enhancing Masked Time-Series Modeling via Dropping Patches
Tianyu Qiu, Yi Xie, Hao Niu et al.
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Henrijs Princis, Cristina David, Alan Mycroft
Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang, Ke Liang, Yanyi Huang et al.
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images
Hongyuan Liu, Haochen Yu, Bochao Zou et al.
Competition among Pairwise Lottery Contests
Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
Colin Sullivan, Mo Tiwari, Sebastian Thrun
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang et al.
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
Youngmin Oh, Hyunju Lee, Bumsub Ham
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
YongKyung Oh, Dong-Young Lim, Sungil Kim
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens
SangHo Lee, Hayun Lee, Dongkun Shin
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning
Dunqiang Liu, Shujun Huang, Wen Li et al.
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
Tianhao Peng, Xuhong Li, Haitao Yuan et al.
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Huan Ma, Yan Zhu, Changqing Zhang et al.
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao et al.
Visual Reinforcement Learning with Residual Action
Zhenxian Liu, Peixi Peng, Yonghong Tian
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
Min Lin, Gangwei Xu, Yun Wang et al.
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Ziming Liu, Jingcai Guo, Song Guo et al.
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
Tao Dai, Yang Lin, Hang Guo et al.
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
Pengwei Liu, Pengkai Wang, Xingyu Ren et al.
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques
Junhao Liu, Xin Zhang
Scalable Motion Style Transfer with Constrained Diffusion Generation
Wenjie Yin, Yi Yu, Hang Yin et al.
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
Guiyu Zhao, Zhentao Guo, Zewen Du et al.
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
Chaeyeon Chung, Sunghyun Park, Jeongho Kim et al.
Towards Scalable and Deep Graph Neural Networks via Noise Masking
Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Wenbo Zhang, Lu Zhang, Ping Hu et al.
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang et al.
Molecular Optimization Model with Patentability Constraint
Sally Turutov, Kira Radinsky
Enhancing Robustness in Incremental Learning with Adversarial Training
Seungju Cho, Hongsin Lee, Changick Kim
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
Yayuan Li, Jintao Guo, Lei Qi et al.
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.
Stable Model Semantics for Description Logic Terminologies
Federica Di Stefano, Mantas Simkus
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
No Head Left Behind – Multi-Head Alignment Distillation for Transformers
Tianyang Zhao, Kunwar Singh, Srikar Appalaraju et al.
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
Cheol-Ho Cho, WonJun Moon, WooJin Jun et al.
Semi-Supervised Online Cross-Modal Hashing
Xiao Kang, Xingbo Liu, Xuening Zhang et al.
Backdoor Attack on Propagation-based Rumor Detectors
Di Jin, Yujun Zhang, Bingdao Feng et al.
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li, Zhe Yang, Wei Han et al.
Parameterized Projected Bellman Operator
Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
Teng Li, Xingjun Ma, Yu-Gang Jiang
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
Yun Liao, Junfan Li, Shizhong Liao et al.
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
Shizhe Hu, Binyan Tian, Weibo Liu et al.
Revisiting CAD Model Generation by Learning Raster Sketch
Pu Li, Wenhao Zhang, Jianwei Guo et al.
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
9135 Yu Wang, Zexue He, Zhankui He et al.
Generalization Analysis for Deep Contrastive Representation Learning
Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
s-ID: Causal Effect Identification in a Sub-population
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon et al.
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han, Jidong Yuan, Chixuan Wei et al.
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
Wenwen Gong, Yangliao Geng, Dan Zhang et al.
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
Haojin Li, Heng Li, Jianyu Chen et al.
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence
Hao Li, Hao Fei, Zechao Hu et al.
Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems
Jiaqian Li, Minming Li, Hau Chan
Universality of Real Minimal Complexity Reservoir
Robert Simon Fong, Boyu Li, Peter Tino
CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang et al.
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
Jun Feng, Yuzhe Lai, Hong Sun et al.
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
Zhaorui Tan, Xi Yang, Kaizhu Huang
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo et al.
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
Chengxiang Huang, Bingyan Liu
Distributed Manifold Hashing for Image Set Classification and Retrieval
Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.
PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting
Canchen Yang, Tianyu Geng, Jian Peng et al.
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi
EvSTVSR: Event Guided Space-Time Video Super-Resolution
Haojie Yan, Zhan Lu, Zehao Chen et al.
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou et al.
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
JunGyu Lee, Yeji Choi, Haksub Kim et al.
FIRM: Flexible Interactive Reflection ReMoval
Xiao Chen, Xudong Jiang, Yunkang Tao 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.
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA
Jian Lan, Diego Frassinelli, Barbara Plank
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion
Bing Xiong, Yue Peng, Ranran Zhang et al.
Spatial Annealing for Efficient Few-shot Neural Rendering
Yuru Xiao, Deming Zhai, Wenbo Zhao et al.
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker
Xinyu Xiang, Qinglong Yan, Hao Zhang et al.
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
Qibo Chen, Weizhong Jin, Jianyue Ge et al.
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
Qi Chen, Changli Wu, Jiayi Ji et al.
Enhancing Close-up Novel View Synthesis via Pseudo-labeling
Jiatong Xia, Libo Sun, Lingqiao Liu
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
Lin Chen, Zhijie Jia, Lechao Cheng et al.
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
Yingying Jiao, Zhigang Wang, Zhenguang Liu et al.
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
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.
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
Pengfei Jiang, Mingbao Lin, Fei Chao
HoneypotNet: Backdoor Attacks Against Model Extraction
Yixu Wang, Tianle Gu, Yan Teng et al.
Efficient Constraint Generation for Stochastic Shortest Path Problems
Johannes Schmalz, Felipe Trevizan
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee et al.
Research Papers
Xiangci Li, Jessica Ouyang
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
Ye Wang, Tongyuan Bai, Xuping Xie et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence
Zixi Chen, Yumin Xu, Ruixun Zhang
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
Jingyuan Qi, Minqian Liu, Ying Shen et al.
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
Wei Chen, Yi Zhou
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Songtuan Lin, Conny Olz, Malte Helmert et al.
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
Sean Lamont, Michael Norrish, Amir Dezfouli et al.
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang, Churan Wang, Fei Gao et al.
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
Tingyi Cai, Yunliang Jiang, Ming Li et al.
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo et al.
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
Dmitry Bylinkin, Aleksandr Beznosikov
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham, Pranav Sastry, AP Prathosh
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Zhiqiang Chen, Yang Chen, xiaolong Zou et al.
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
Jian Li, Yong Liu, Weiping Wang
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.
Efficient Self-Supervised Video Hashing with Selective State Spaces
Jinpeng Wang, Niu Lian, Jun Li et al.
Exact Inference for Continuous-Time Gaussian Process Dynamics
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar, Carlee Joe-Wong
Approximating Metric Magnitude of Point Sets
Rayna Andreeva, James Ward, Primoz Skraba et al.
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Naiyu Yin, Tian Gao, Yue Yu et al.
Engineering an Exact Pseudo-Boolean Model Counter
Suwei Yang, Kuldeep S Meel
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Yiyu Zhuang, Qi Zhang, Xuan Wang et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
Bo Wang, Zhao Zhang, Suiyi Zhao et al.
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang 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.
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions
Yunjie Tian, Tianren Ma, Lingxi Xie et al.
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
Hongyu Yan, Yadong Mu
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Zida Chen, Ziran Zhang, Haoying Li et al.
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang et al.
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame
Luyang Tang, Jiayu Yang, Rui Peng et al.
Correcting Large Language Model Behavior via Influence Function
Han Zhang, Zhuo Zhang, Yi Zhang et al.
Domain Generalizable Person Search Using Unreal Dataset
Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim
BAND: Biomedical Alert News Dataset
Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko et al.
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing
Yafei Li, Wei Chen, Jinxing Yan et al.
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Mohsen Gholami, Rabab Ward, Z. Jane Wang
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
Jiarong Yang, Yuan Liu
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
Jinda Xu, Yuhao Song, Daming Wang et al.
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
Deng Xu, Chao Zhang, Cong Guo et al.
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao, Hao Ni, Weixin Yang
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
Linhuang Xie, Shihao Gao, Jie Liu et al.
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Daechul Ahn, Yura Choi, San Kim et al.
Fair Division with Social Impact
Michele Flammini, Gianluigi Greco, Giovanna Varricchio
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
Gil Shapira, Yosi Keller
Multi-Region Text-Driven Manipulation of Diffusion Imagery
Yiming Li, Peng Zhou, Jun Sun et al.
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Menglin Wang, Zhun Zhong, Xiaojin Gong
Private Blotto: Viewpoint Competition with Polarized Agents
Kate Donahue, Jon Kleinberg
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
Chao Jiang, Miqing Li
The Cost Perspective of Liquid Democracy: Feasibility and Control
Shiri Alouf-Heffetz, Łukasz Janeczko, Grzegorz Lisowski 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.
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
Jiaqi Yang, Enming Liang, Zicheng Su et al.
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs
Shinwoo An, Yeonsu Chang, Kyungjin Cho et al.
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition
Weihao You, Pengcheng Wang, Changlong Li et al.
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan et al.
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
Yuhan Zhao, Rui Chen, Li Chen et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
Neural Control and Certificate Repair via Runtime Monitoring
Emily Yu, Đorđe Žikelić, Thomas A. Henzinger
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Ziyou Liang, Weifeng Liu, Run Wang et al.
Medical Manifestation-Aware De-Identification
Yuan Tian, Shuo Wang, Guangtao Zhai
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Haoran Li, Xingjian Li, Jiahua Shi et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net
Puyuan Guo, Tuo Hao, Wenxin Fu et al.
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
Jielong Tang, Zhenxing Wang, ZiYang Gong et al.
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
Zhe Wang, Suxue Ma, Kewen Wang et al.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
Cheng Tan, Yijie Zhang, Zhangyang Gao et al.
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
Haifan Gong, Yu Lu, Xiang Wan et al.
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Xiyu Liu, Zhengxiao Liu, Naibin Gu et al.
Efficient Robustness Evaluation via Constraint Relaxation
Chao Pan, Yu Wu, Ke Tang et al.
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
Linfei Li, Lin Zhang, Zhong Wang et al.
Multi-Scale Contrastive Learning for Video Temporal Grounding
Thong Thanh Nguyen, Yi Bin, Xiaobao Wu et al.
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
Junchen Li, Qing Yang, Bojian Jiang et al.
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Yunpeng Song, Jiawei Li, Yiheng Bian et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Cunhang Fan, Enrui Liu, Andong Li 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.
Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo et al.
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
Mingkai Lin, Xiaobin Hong, Wenzhong Li et al.
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong et al.
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Unravelling Expressive Delegations: Complexity and Normative Analysis
Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind