Most Cited 2025 "numerical reconstruction" Papers

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only

Qingru Zhang, Liang Qiu, Ilgee Hong et al.

When Can Proxies Improve the Sample Complexity of Preference Learning?

Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi et al.

Resource-efficient Inference with Foundation Model Programs

Lunyiu Nie, Zhimin Ding, Kevin Yu et al.

Teach Old SAEs New Domain Tricks with Boosting

Nikita Koriagin, Yaroslav Aksenov, Daniil Laptev et al.

ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models

Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew et al.

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models

Ameen Ali Ali, Shahar Katz, Lior Wolf et al.

Learning Progress Driven Multi-Agent Curriculum

Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen

MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering

Varun Srivastava, Fan Lei, Srija Mukhopadhyay et al.

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments

Yipeng Du, Zihao Wang, Ahmad Farhan et al.

X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression

Guihong Li, Mehdi Rezagholizadeh, Mingyu Yang et al.

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness

Cheng Huang, Pan Mu, Cong Bai et al.

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method

Andi Han, Pierre-Louis Poirion, Akiko Takeda

Mitigating Modal Imbalance in Multimodal Reasoning

Chen Henry Wu, Neil Kale, Aditi Raghunathan

RRO: LLM Agent Optimization Through Rising Reward Trajectories

Zilong Wang, Jingfeng Yang, Sreyashi Nag et al.

Clustering Items through Bandit Feedback: Finding the Right Feature out of Many

Maximilian Graf, Victor Thuot, Nicolas Verzelen

Multiple-policy Evaluation via Density Estimation

Yilei Chen, Aldo Pacchiano, Ioannis Paschalidis

Customize Multi-modal RAI Guardrails with Precedent-based predictions

Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos et al.

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses

Bin HAN, Robert Wolfe, Anat Caspi et al.

Elucidating the Design Space of Decay in Linear Attention

Zhen Qin, Xuyang Shen, Yiran Zhong

HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion

Mengting Ma, Yizhen Jiang, Mengjiao Zhao et al.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity

Chenyang Song, Weilin Zhao, Xu Han et al.

CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning

George Ibrahim, Rita Ramos, Yova Kementchedjhieva

Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More

Xialie Zhuang, Zhikai Jia, Jianjin Li et al.

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training

Zizheng Huang, Haoxing Chen, Jiaqi Li et al.

Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru et al.

Limitations of refinement methods for weak to strong generalization

Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin et al.

DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models

Zhiyi Shi, Binjie Wang, Chongjie Si et al.

Targeted control of fast prototyping through domain-specific interface

Yu-Zhe Shi, Mingchen Liu, Hanlu Ma et al.

Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy

Ruixi Lin, Ziqiao Wang, Yang You

News is More than a Collection of Facts: Moral Frame Preserving News Summarization

Enrico Liscio, Michela Lorandi, Pradeep K. Murukannaiah

Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It

Marvin F, da Silva, Felix Dangel, Sageev Oore

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction

Yanbin Wei, Xuehao Wang, Zhan Zhuang et al.

CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models

Runlong Zhou, Yi Zhang

Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations

Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto

Instruct2See: Learning to Remove Any Obstructions Across Distributions

Junhang Li, Yu Guo, Xian et al.

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer

Haotian Ni, Yake Wei, Hang Liu et al.

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models

Jiazheng Li, Lu Yu, Qing Cui et al.

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

Serena Bono, Spandan Madan, Ishaan Grover et al.

Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning

Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar

Sequential Joint Dependency Aware Human Pose Estimation with State Space Model

Hanxi Yin, Shaodi You, Jungong Han et al.

Accelerated training through iterative gradient propagation along the residual path

Erwan Fagnou, Paul Caillon, Blaise Delattre et al.

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees

Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee et al.

GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction

Zesong Yang, Ru Zhang, Jiale Shi et al.

UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis

Zemin Yang, Yujing Sun, Xidong Peng et al.

FedBEns: One-Shot Federated Learning based on Bayesian Ensemble

Jacopo Talpini, Marco Savi, Giovanni Neglia

UAWTrack: Universal 3D Single Object Tracking in Adverse Weather

Yuxiang Yang, Hongjie Gu, Yingqi Deng et al.

One-Shot Reference-based Structure-Aware Image to Sketch Synthesis

Rui Yang, Honghong Yang, Li Zhao et al.

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models

Daewon Chae, June Suk Choi, Jinkyu Kim et al.

Differentiable Adversarial Attacks for Marked Temporal Point Processes

Pritish Chakraborty, Vinayak Gupta, Rahul R et al.

PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model

Hao Yang, Qianyu Zhou, Haijia Sun et al.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction

Jiahao Ma, Lei Wang, Miaomiao Liu et al.

PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes

Xinhua Xu, Hong Liu, Jianbing Wu et al.

LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

Shaocong Xu, Pengfei Li, Qianpu Sun et al.

SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields

David K Park, Xihaier Luo, Guang Zhao et al.

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model

Jiahua Xu, Dawei Zhou, Lei Hu et al.

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via et al.

Layer-wise Quantization for Quantized Optimistic Dual Averaging

Anh Duc Nguyen, Ilia Markov, Zhengqing Wu et al.

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation

Wenzhao Xiang, Chang Liu, Hongyang Yu et al.

Cross-View Graph Consistency Learning for Invariant Graph Representations

Jie Chen, Hua Mao, Wai Lok Woo et al.

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

Jun Chen, Hong Chen, Bin Gu et al.

Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection

Spandan Pyakurel, Qi Yu

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

Liuqing Chen, Shuhong Xiao, Shixian Ding et al.

NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models

Tuc Van Nguyen, James Michels, Hua Shen et al.

POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search

Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.

SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration

Tianyi Chen, Yunfei Zhang, Lianxin Xie et al.

Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives

Sarah Cen, Salil Goyal, Zaynah Javed et al.

Multi-Shape Matching with Cycle Consistency Basis via Functional Maps

Yifan Xia, Tianwei Ye, Huabing Zhou et al.

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.

Debiased Active Learning with Variational Gradient Rectifier

Weiguo Chen, Changjian Wang, Shijun Li et al.

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics

Yu Wen, Chen Zhang, Chenhao Xie et al.

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game

Xiaobing Chen, Xiangwei Zhou, Songyang Zhang et al.

Sample Complexity of Correlation Detection in the Gaussian Wigner Model

Dong Huang, Pengkun Yang

WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition

Zicheng Wang, Qiuxia Wu

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning

Yangkun Chen, Kai Yang, Jian Tao et al.

Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing

Jinhua Yin, Peiru Yang, Chen Yang et al.

Fast and Accurate Blind Flexible Docking

Zizhuo Zhang, Lijun Wu, Kaiyuan Gao et al.

Data Distillation for extrapolative protein design through exact preference optimization

Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola et al.

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding

Jiaze Wang, Yi Wang, Ziyu Guo et al.

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

Jiayu Wang, Yue Yu, Jingjing Chen et al.

Attack-inspired Calibration Loss for Calibrating Crack Recognition

Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables

Yaochen Zhu, Jing Ma, Liang Wu et al.

Fusing Reward and Dueling Feedback in Stochastic Bandits

Xuchuang Wang, Qirun Zeng, Jinhang Zuo et al.

Geometry-Aware 3D Salient Object Detection Network

Chen Wang, Liyuan Zhang, Le Hui et al.

Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning

Yunbin Tu, Liang Li, Li Su et al.

Dynamic Assortment Selection and Pricing with Censored Preference Feedback

Jung-hun Kim, Min-hwan Oh

Modality-Aware Shot Relating and Comparing for Video Scene Detection

Jiawei Tan, Hongxing Wang, Kang Dang et al.

First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks

Janani Suresh, Nancy Nayak, Sheetal Kalyani

RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation

Zhaoyang Sun, Fei Du, Weihua Chen et al.

Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks

Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.

Cross-Validated Off-Policy Evaluation

Matej Cief, Branislav Kveton, Michal Kompan

SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection

Peiyao Shou, Yixiu Liu, Wei Wang et al.

Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes

Ji Shi, Xianghua Ying, Ruohao Guo et al.

FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models

Mohammadreza Samadi, Fred X. Han, Mohammad Salameh et al.

Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

Haocong Rao, Chunyan Miao

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning

Hongye Cao, Fan Feng, Meng Fang et al.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram

Mingxi Lei, Chunwei Ma, Meng Ding et al.

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

Bin Pu, Liwen Wang, Jiewen Yang et al.

Learning-Augmented Frequent Directions

Anders Aamand, Justin Chen, Siddharth Gollapudi et al.

Generalization and Distributed Learning of GFlowNets

Tiago Silva, Amauri Souza, Omar Rivasplata et al.

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation

Aram Davtyan, Sepehr Sameni, Björn Ommer et al.

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning

Xiang Zhang, Run He, Chen Jiao et al.

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy

Shaoyan Pan, Yikang Liu, Lin Zhao et al.

Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation

Delin Pan, Jiansong Fan, Jie Zhu et al.

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network

Ziming Nie, Qiao Wu, Chenlei Lv et al.

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

Hefei Mei, Minjing Dong, Chang Xu

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification

Kai Lv, Yunlong Li, Zhuo Chen et al.

Learning Gain Map for Inverse Tone Mapping

yinuo liao, Yuanshen Guan, Ruikang Xu et al.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency

Zongxin Liu, Zhe Zhao, Fu Song et al.

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

Man Liu, Huihui Bai, Feng Li et al.

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning

Han Liu, Yuanyuan Wang, Xiaotong Zhang et al.

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training

Joshua DeOliveira, Walter Gerych, Elke Rundensteiner

Attribute Inference Attacks for Federated Regression Tasks

Francesco Diana, Othmane Marfoq, Chuan Xu et al.

Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging

Chuang Liu, Yichao Cao, YingYing Zhang et al.

Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline

Baolong Liu, Ruiqing Yang, Roukai Huang et al.

Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection

Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye et al.

How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings

Samuel Audia, Soheil Feizi, Matthias Zwicker et al.

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling

Jinzong Dong, Zhaohui Jiang, Dong Pan et al.

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion

Yinghui Li, Qianyu Zhou, Jingyu Gong et al.

A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging

Ruoran Li, Runzhao Yang, Wenxin Xiang et al.

Efficiently Vectorized MCMC on Modern Accelerators

Hugh Dance, Pierre Glaser, Peter Orbanz et al.

Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games

Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina et al.

Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction

Yudong W Xu, Wenhao Li, Scott Sanner et al.

Temporal Action Localization with Cross Layer Task Decoupling and Refinement

Qiang Li, Di Liu, Jun Kong et al.

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Block-Based Multi-Scale Image Rescaling

Jian Li, Siwang Zhou

HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes

Guoqiu Li, Jin Song, Yiyun Fei

Information-Theoretic Generative Clustering of Documents

Xin Du, Kumiko Tanaka-Ishii

Consistency of Compositional Generalization Across Multiple Levels

Chuanhao Li, Zhen Li, Chenchen Jing et al.

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models

Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

Sangho Lee, Il Yong Chun, Hogun Park

Real-Time Neural Denoising with Render-Aware Knowledge Distillation

Mengxun Kong, Jie Guo, Chen Wang et al.

Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models

Rui Jiang, Xinghe Fu, Guangcong Zheng et al.

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering

Hao Jiang, Yang Jin, Zhicheng Sun et al.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning

Yafei YANG, Zihui Zhang, Bo Yang

Causal Discovery by Interventions via Integer Programming

Abdelmonem Elrefaey, Rong Pan

AutoAL: Automated Active Learning with Differentiable Query Strategy Search

Yifeng Wang, Xueying Zhan, Siyu Huang

EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene

Yixiong Huo, Guangfeng Jiang, Hongyang Wei et al.

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation

Yanglin Huang, Kai Hu, Yuan Zhang et al.

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu et al.

Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution

Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression

Michael Crawshaw, Blake Woodworth, Mingrui Liu

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective

Jianyu Wang, Zhiqiang Hu, Lidong Bing

OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting

Jianwei Fei, Yunshu Dai, Zhihua Xia et al.

Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References

Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework

Yushan Han, Hui Zhang, Honglei Zhang et al.

ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow

Jumin Han, Jun-Hee Kim, Seong-Whan Lee

Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency

Haipeng Guo, Huanyu Liu, Jiazheng Wen et al.

Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning

Tao Gong, Qi Chu, Bin Liu et al.

Bandit Learning in Matching Markets with Indifference

Fang Kong, Jingqi Tang, Mingzhu Li et al.

Learning Survival Distributions with the Asymmetric Laplace Distribution

Deming Sheng, Ricardo Henao

Combating Semantic Contamination in Learning with Label Noise

Wenxiao Fan, Kan Li

EventPillars: Pillar-based Efficient Representations for Event Data

Rui Fan, Weidong Hao, Juntao Guan et al.

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics

Qinshuo Liu, Weiqin Zhao, Wei Huang et al.

Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation

Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.

Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling

Hui Deng, Jiawei Shi, Zhen Qin et al.

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley et al.

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao, Tianxin Huang, Yu Zhu et al.

Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion

Jisheng Chu, Wenrui Li, Xingtao Wang et al.

CALM: Culturally Self-Aware Language Models

Lingzhi Shen, Xiaohao Cai, Yunfei Long et al.

Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Yiliang Chen, Steven SC Ho, Cheng Xu et al.

GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction

Junyi Chen, Weicai Ye, Yifan Wang et al.

Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation

Changgu Chen, Junwei Shu, Gaoqi He et al.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi et al.

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

Rui Cai, Zhiyu Dong, Jianfeng Dong et al.

FLUE: Streamlined Uncertainty Estimation for Large Language Models

Shiqi Gao, Tianxiang Gong, Zijie Lin et al.

DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization

Qi Bi, Jingjun Yi, Hao Zheng et al.

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

Xiaoqi An, Lin Zhao, Chen Gong et al.

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

Yihao, Limei Hu, Feng Chen et al.

CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning

Eloy Geenjaar, Lie Lu

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

Dengming Zhang, Weitao You, Ziheng Liu et al.

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

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

Auditing and Enforcing Conditional Fairness via Optimal Transport

Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso et al.

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes

Augustin Godinot, Erwan Le Merrer, Camilla Penzo et al.

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?

Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms

Mirabel Reid, Santosh S. Vempala

Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis

Yinan Li, Jun Long, Zhan Yang

Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling

Zhejing Hu, Yan Liu, Gong Chen et al.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation

Xiaomeng Yang, LEI LU, Qihui Fan et al.

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision

Yiting Dong, Xiang He, Guobin Shen et al.

Protein Inverse Folding From Structure Feedback

Junde Xu, Zijun Gao, Xinyi Zhou et al.

Locally Connected Echo State Networks for Time Series Forecasting

Filip Matzner, František Mráz

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks

Tony Gracious, Ambedkar Dukkipati

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

Xin Zhang, Peiliang Zhang, Jingling Yuan et al.

ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model

Yang Gu, Jian Cao, Hengyu You et al.

Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity

Lei Zhang, Guanyu Gao, Haiyan Yin et al.

Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction

Huawen Feng, ZekunYao, Junhao Zheng et al.

MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples

Zhihao Wu, Yushi Cheng, Tianyang Sun et al.

Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck

Zhibin Ni, Chang Liu, Hai Wan et al.

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

Yuwei Miao, Yuzhi Guo, Hehuan Ma et al.

Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients

Xuan Liu, Menglu Li

Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks

Xiyao Liu, Junxing Ma, Xinda Wang et al.

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency

Yuqi Liang, Jun Luo, Xiaoxi Guo et al.

How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation

Haodong Feng, Yue Wang, Dixia Fan

AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery

Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao et al.

3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation

Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko et al.

GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection

Xiaocan Chen, Qilin Yin, Jiarui Liu et al.

Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series

Seokho Ahn, Hyungjin Kim, Sungbok Shin et al.

Investigating the Potential of Haptic Props for 3D Object Manipulation in Handheld AR

Jonathan Wieland, Maximilian Dürr, Rebecca Frisch et al.

Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation

Dongnan Gui, Xun Guo, Wengang Zhou et al.

Optimal Decision Tree Pruning Revisited: Algorithms and Complexity

Juha Harviainen, Frank Sommer, Manuel Sorge et al.