Most Cited AAAI "tuned-lens transformations" Papers

SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving

Lei Gong, Yu Zhang, Yingqing Xia et al.

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs

Xiaqiang Tang, Jian Li, Nan Du et al.

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image

Nailei Hei, Qianyu Guo, Zihao Wang et al.

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei et al.

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation

Qingtao Pan, Wenhao Qiao, Jingjiao Lou et al.

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation

Shengyin Sun, Wenhao Yu, Yuxiang Ren et al.

Auto-Regressive Diffusion for Generating 3D Human-Object Interactions

Zichen Geng, Zeeshan Hayder, Wei Liu et al.

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation

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

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models

Hung Nguyen, Quang Qui-Vinh Nguyen, Khoi Nguyen et al.

Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias

Jianhua Zhang, Yi Gao, Ruyu Liu et al.

Inverse Weight-Balancing for Deep Long-Tailed Learning

Wenqi Dang, Zhou Yang, Weisheng Dong et al.

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages

Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero et al.

SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction

Zetao Li, Zheng Hu, Peng Han et al.

Using Stratified Sampling to Improve LIME Image Explanations

Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari et al.

ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction

Yi Feng, Yu Han, Xijing Zhang et al.

Complete Neural Networks for Complete Euclidean Graphs

Snir Hordan, Tal Amir, Nadav Dym et al.

Fact-Driven Logical Reasoning for Machine Reading Comprehension

Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

Unsupervised Extractive Summarization with Learnable Length Control Strategies

Renlong Jie, Xiaojun Meng, Xin Jiang et al.

Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance

Jiahao Lyu, Wei Wang, Dongbao Yang et al.

FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction

Yitong Duan, Weiran Wang, Jian Li

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Louis Mahon, Thomas Lukasiewicz

GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation

Jiawei Lu, YingPeng Zhang, Zengjun Zhao et al.

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

Pengcheng Jiang, Cao Xiao, Tianfan Fu et al.

Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification

Robert Reed, Luca Laurenti, Morteza Lahijanian

Inconsistency-Based Data-Centric Active Open-Set Annotation

Ruiyu Mao, Ouyang Xu, Yunhui Guo

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

YoungJoon Yoo, Jongwon Choi

Dependency Structure-Enhanced Graph Attention Networks for Event Detection

Qizhi Wan, Changxuan wan, Keli Xiao et al.

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Jian Li, Yong Liu, Wei Wang et al.

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor

Han Liu, Siyang Zhao, Xiaotong Zhang et al.

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction

Pufan Zou, Shijia Zhao, Weijie Huang et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning

Subhabrata Dutta, Ishan Pandey, Joykirat Singh et al.

Continual Learning Using a Kernel-Based Method Over Foundation Models

Saleh Momeni, Sahisnu Mazumder, Bing Liu

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks

Shibing Mo, Kai Wu, Qixuan Gao et al.

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets

Zhirui Yang, Yulan Hu, Sheng Ouyang et al.

Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness

Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic

Generative Model-Based Feature Knowledge Distillation for Action Recognition

Guiqin Wang, Peng Zhao, Yanjiang Shi et al.

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

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

ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context

Sixiao Zheng, Yanwei Fu

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

Jiayu Chen, Zelai Xu, Yunfei Li et al.

Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning

Yue Lu, Shizhou Zhang, De Cheng et al.

DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder

Ente Lin, Xujie Zhang, Fuwei Zhao et al.

Noisy Label Calibration for Multi-View Classification

Shilin Xu, Yuan Sun, Xingfeng Li et al.

Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion

Li Liang, Naveed Akhtar, Jordan Vice et al.

DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model

Yonghao Zhang, Qiang He, Yanguang Wan et al.

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi et al.

Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN

Minsoo Kang, Minkoo Kang, Suhyun Kim

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs

Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.

Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting

Dasol Choi, Dongbin Na

Weakly Supervised Few-Shot Object Detection with DETR

Chenbo Zhang, Yinglu Zhang, Lu Zhang et al.

Hand1000: Generating Realistic Hands from Text with Only 1,000 Images

Haozhuo Zhang, Bin Zhu, Yu Cao et al.

Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception

Xiao Wang, Wentao Wu, Chenglong Li et al.

Measuring Cross-Modal Interactions in Multimodal Models

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.

Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model

Xu Yuan, Li Zhou, Zenghui Sun et al.

FOCUS: Towards Universal Foreground Segmentation

Zuyao You, Lingyu Kong, Lingchen Meng et al.

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang et al.

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning

Kun Ding, Haojian Zhang, Qiang Yu et al.

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li et al.

Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

Qijun Gan, Wentong Li, Jinwei Ren et al.

Predicting the Original Appearance of Damaged Historical Documents

Zhenhua Yang, Dezhi Peng, Yongxin Shi et al.

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration

Huangxing Lin, Yuhang Dong, Xinghao Ding et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Hyunjune Shin, Dong-Wan Choi

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

Huanjing Yue, Zifan Cui, Kun Li et al.

CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

David Valencia, Henry Williams, Yuning Xing et al.

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation

Ke Yan, Qing Cai, Fan Zhang et al.

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

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

Modeling Continuous Motion for 3D Point Cloud Object Tracking

Zhipeng Luo, Gongjie Zhang, Changqing Zhou et al.

Self-Prompt Mechanism for Few-Shot Image Recognition

Mingchen Song, Huiqiang Wang, Guoqiang Zhong

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving

Siran Chen, Yuxiao Luo, Yue Ma et al.

Locally Convex Global Loss Network for Decision-Focused Learning

Haeun Jeon, Hyunglip Bae, Minsu Park et al.

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces

Benjamin Doerr, Martin S. Krejca, Günter Rudolph

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training

Chaoya Jiang, Wei Ye, Haiyang Xu et al.

Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation

Junwei Zhang, Ruifang He, Fengyu Guo et al.

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit

Qizhou Chen, Taolin Zhang, Chengyu Wang et al.

Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images

Zhan Lu, Qian Zheng, Boxin Shi et al.

Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes

Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains

Yimu Wang, Yihan Wu, Hongyang Zhang

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

Jialuo He, Wei Chen, Xiaojin Zhang

Prediction-Feedback DETR for Temporal Action Detection

Jihwan Kim, Miso Lee, Cheol-Ho Cho et al.

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi ZHANG, Yunfei Gong, Daijie Chen et al.

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian Bors

Offline Safe Reinforcement Learning Using Trajectory Classification

Ze Gong, Akshat Kumar, Pradeep Varakantham

PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening

RuoCheng Wu, Zien Zhang, Shangqi Deng et al.

Learning Physics Informed Neural ODEs with Partial Measurements

Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba et al.

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

Shuvendu Roy, Ali Etemad

Event-Enhanced Blurry Video Super-Resolution

Dachun Kai, Yueyi Zhang, Jin Wang et al.

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Xingcheng Fu, Yisen Gao, Beining Yang et al.

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback

Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.

Aligning Language Models Using Follow-up Likelihood as Reward Signal

Chen Zhang, Dading Chong, Feng Jiang et al.

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts

Zhuhao Wang, Yihua Sun, Zihan Li et al.

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu et al.

Video Frame Prediction from a Single Image and Events

Juanjuan Zhu, Zhexiong Wan, Yuchao Dai

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching

Xiao Han, Zijian Zhang, Xiangyu Zhao et al.

SimCS: Simulation for Domain Incremental Online Continual Segmentation

Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition

Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse et al.

WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration

Laibin Chang, Yunke Wang, Longxiang Deng et al.

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

Yucheng Han, Na Zhao, Weiling Chen et al.

AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring

Xinyi Wang, Na Zhao, Zhiyuan Han et al.

Text2Relight: Creative Portrait Relighting with Text Guidance

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

Infer Human’s Intentions Before Following Natural Language Instructions

Yanming Wan, Yue Wu, Yiping Wang et al.

Generating Counterfactual Explanations Under Temporal Constraints

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al.

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators

Mark Beliaev, Ramtin Pedarsani

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

Junhwa Hur, Charles Herrmann, Saurabh Saxena et al.

Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity

Shanghaoran Quan

Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection

Hongsong Wang, Andi Xu, Pinle Ding et al.

Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act

Huixin Zhong, Eamonn O'Neill, Janina Hoffmann

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation

Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani et al.

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.

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

Yuanyuan Mao, Xin Lin, Qin Ni et al.

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Dynamic Budget Throttling in Repeated Second-Price Auctions

Zhaohua Chen, Chang Wang, Qian Wang et al.

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Guangyuan Ma, Yongliang Ma, Xing Wu et al.

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning

Yonghao Liu, Mengyu Li, Wei Pang et al.

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li et al.

Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech

Rui Liu, Shuwei He, Yifan Hu et al.

Multi-View Empowered Structural Graph Wordification for Language Models

Zipeng Liu, Likang Wu, Ming He et al.

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

Multi-Reference Preference Optimization for Large Language Models

Hung Le, Quan Hung Tran, Dung Nguyen et al.

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding

Rihui Jin, Yu Li, Guilin Qi et al.

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

Sieun Hyeon, Kyudan Jung, Jaehee Won et al.

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation

Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Dongwei Jiang, Jingyu Zhang, Orion Weller et al.

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu et al.

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation

Hamed Ayoobi, Nico Potyka, Francesca Toni

ALLVB: All-in-One Long Video Understanding Benchmark

Xichen Tan, Yuanjing Luo, Yunfan Ye et al.

Component Fourier Neural Operator for Singularly Perturbed Differential Equations

Ye Li, Ting Du, Yiwen Pang et al.

Mixture of Experts Based Multi-Task Supervise Learning from Crowds

Tao Han, Huaixuan Shi, Xinyi Ding et al.

ARTICLE: Annotator Reliability Through In-Context Learning

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya et al.

VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Shangkun Sun, Xiaoyu Liang, Songlin Fan et al.

Braess’s Paradox of Generative AI

Boaz Taitler, Omer Ben-Porat

Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection

Yifan Feng, Weimin Li, Yue Wang et al.

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Xinyue Fang, Zhen Huang, Zhiliang Tian et al.

TREE-G: Decision Trees Contesting Graph Neural Networks

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Learning Ultrametric Trees for Optimal Transport Regression

STAS: Spatial-Temporal Return Decomposition for Multi-Agent Reinforcement Learning

Sirui Chen, Zhaowei Zhang, Yaodong Yang et al.

Towards Making Learnware Specification and Market Evolvable

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

RRL: Recommendation Reverse Learning

Xiaoyu You, Jianwei Xu, Mi Zhang et al.

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities

Bin Wang, Chunyu Xie, Dawei Leng et al.

Learning to Manipulate Under Limited Information

Wesley H. Holliday, Alexander Kristoffersen, Eric Pacuit

Federated Assemblies

Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro et al.

Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model

Yuxuan Liu, Haizhou Ai, Junliang Xing et al.

ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data

Yufan Shen, Chuwei Luo, Zhaoqing Zhu et al.

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues

Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel et al.

Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow

Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng et al.

LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining

Huawen Shen, Gengluo Li, Jinwen Zhong et al.

GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images

Chenglong Liu, Haoran Wei, Jinze Yang et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections

Tuva Bardal, Markus Brill, David McCune et al.

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems

Zhuohui Zhang, Bin He, Bin Cheng et al.

Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation

Jiankun Zhu, Sicheng Zhao, Jing Jiang et al.

LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding

Yutong Wang, Tanishq Duhan, Jiaoyang Li et al.

REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity

SeungWon Seo, SeongRae Noh, Junhyeok Lee et al.

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models

Qingyi Liu, Jinghui Qin, Wenxuan Ye et al.

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness

Shoucheng Song, Youfang Lin, Sheng Han et al.

ExcluIR: Exclusionary Neural Information Retrieval

Wenhao Zhang, Mengqi Zhang, Shiguang Wu et al.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Chunxu Zhang, Guodong Long, Hongkuan Guo et al.

All You Need in Knowledge Distillation Is a Tailored Coordinate System

Junjie Zhou, Ke Zhu, Jianxin Wu

Dynamic Graph Learning with Static Relations for Credit Risk Assessment

Qi Yuan, Yang Liu, Yateng Tang et al.

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts

Kun Guo, Qiang Ling

Racing Control Variable Genetic Programming for Symbolic Regression

Nan Jiang, Yexiang Xue

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Haoran Li, Yulin Chen, Zihao Zheng et al.

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training

Shuyin Xia, Xinjun Ma, Zhiyuan Liu et al.

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression

Siqi Wu, Yinda Chen, Dong Liu et al.

Prompt-based Unifying Inference Attack on Graph Neural Networks

Yuecen Wei, Xingcheng Fu, Lingyun Liu et al.

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

Zachary Wojtowicz, Simon DeDeo

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation

Yiyuan Pan, Yunzhe Xu, Zhe Liu et al.

Neural Time

Reversed Generalized Riccati Equation

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Zhecheng Sheng, Tianhao Zhang, Chen Jiang et al.

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

Hongwei Niu, Jie Hu, Jianghang Lin et al.

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin et al.

Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning

Shiping Ge, Qiang Chen, Zhiwei Jiang et al.

PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang et al.

Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation

Mohit Prashant, Arvind Easwaran, Suman Das et al.

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

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

Kailin Li, Lixin Yang, Zenan Lin et al.

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression

Kai Yao, Zhaorui Tan, Tiandi Ye et al.

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model

Shunsuke Horii, Yoichi Chikahara

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

Zijian Tao, Shao-Yuan Li, Wenhai Wan et al.

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

Yucong Meng, Zhiwei Yang, Yonghong Shi et al.

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang, Wonseok Roh, Sujin Jang et al.

Twice Class Bias Correction for Imbalanced Semi

supervised Learning