Most Cited 2025 "numerical reconstruction" Papers
22,274 papers found • Page 85 of 112
Conference
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu et al.
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.
Reasoning Models Sometimes Output Illegible Chains of Thought
Arun Jose
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
shengtian yang, Yue Feng, Yingshi Liu et al.
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
Hangwei Zhang, Chun Kang, Yan Wang et al.
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez, Mobina Poulaei, Nikan Vasei et al.
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
Jiaming Zhuo, Ziyi Ma, Yintong Lu et al.
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning
Si Chen, Yifei Li, Richong Zhang
Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework
Rohan Sharma, Changyou Chen, Feng-Ju Chang et al.
Storyboard-guided Alignment for Fine-grained Video Action Recognition
Enqi Liu, Liyuan Pan, Yan Yang et al.
Pessimistic Data Integration for Policy Evaluation
Xiangkun Wu, Ting Li, Gholamali Aminian et al.
Fair Matroid Selection
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
Jinglong Shen, Nan Cheng, Wenchao Xu et al.
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert Nowak
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk et al.
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
Zinan Zheng, Yang Liu, Jia Li
FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
Lingren Wang, Wenxuan Tu, Jiaxin Wang et al.
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
Jiyang Zheng, Siqi Pan, Yu Yao et al.
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
Hongkai Lin, Dingkang Liang, Mingyang Du et al.
BNMusic: Blending Environmental Noises into Personalized Music
Chi Zuo, Martin Møller, Pablo Martínez-Nuevo et al.
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
Liang Yin, Xudong Xie, Zhang Li et al.
CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
ao zhou, Jiayi Guan, Li Shen et al.
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.
Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
Guangyi Zhang, Qiyu Liu, Aristides Gionis
VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
Zecheng Wang, Chunshan Li, Yupeng Zhang et al.
Learning Neural Scene Representation from iToF Imaging
Wenjie Chang, Hanzhi Chang, Yueyi Zhang et al.
Prompt Tuning Transformers for Data Memorization
Haiyu Wang, Yuanyuan Lin
Diffusion-Guided Graph Data Augmentation
Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
Can Knowledge be Transferred from Unimodal to Multimodal? Investigating the Transitivity of Multimodal Knowledge Editing
Lingyong Fang, Xinzhong Wang, Depeng depeng wang et al.
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
Zhiqiang Kou, Yucheng Xie, Hailin Wang et al.
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li et al.
IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
Zenghui Yang, Xingquan Zuo, Hai Huang et al.
Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments
Sang-Hyun Lee
Co-Speech Gesture Video Generation with Implicit Motion-Audio Entanglement
Xinjie Li, Ziyi Chen, Xinlu Yu et al.
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
Xinjie Cui, Yuezun Li, Ao Luo et al.
Enhancing Privacy in Multimodal Federated Learning with Information Theory
Tianzhe Xiao, Yichen Li, Yining Qi et al.
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Quanlong Zheng et al.
The Quotient Bayesian Learning Rule
Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
Junlang Huang, Chen Hao, Li Luo et al.
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
Learning to Factorize Spatio-Temporal Foundation Models
Siru Zhong, Junjie Qiu, Yangyu Wu et al.
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
Yichen Li, Yijing Shan, YI LIU et al.
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu, Qiang Sun, Archer Yang
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Yujie Xing, Xiao Wang, Bin Wu et al.
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
Improving the Straight-Through Estimator with Zeroth-Order Information
Ningfeng Yang, Tor Aamodt
Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
Gongwei Chen, Lirong Jie, Lexiao Zou et al.
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Yu Pan, Lei Meng et al.
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
Peter Ochieng
GLNCD: Graph-Level Novel Category Discovery
Bowen Deng, Lele Fu, Sheng Huang et al.
Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
Sheng Huang, Lele Fu, Fanghua Ye et al.
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
Li Liang, Bo Miao, Xinyu Wang et al.
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
GUOGUO AI, Hezhe Qiao, Hui Yan et al.
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li et al.
BADiff: Bandwidth Adaptive Diffusion Model
Xi Zhang, Hanwei Zhu, Yan Zhong et al.
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
Jin Hu, Jiakai Wang, linna Jing et al.
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
Ming Nie, Chunwei Wang, Jianhua Han et al.
Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
Sishun Liu, KE DENG, Yongli Ren et al.
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services
Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
Ye Zhu, Duo Xu, Zhiwei Deng et al.
Learning Simple Interpolants for Linear Integer Arithmetic
Minchao Wu, Naoki Kobayashi
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
Dongyang Zeng, Yaping Liu, Wei Zhang et al.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
Hongyu Shen, Zhizhen Jane Zhao
Revealing Multimodal Causality with Large Language Models
Jin Li, Shoujin Wang, Qi Zhang et al.
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
Yang Zhao, Kai Xiong, Xiao Ding et al.
Statistical Parity with Exponential Weights
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li et al.
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
Chenghao Liu, Enming Liang, Minghua Chen
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.
Robust Graph Condensation via Classification Complexity Mitigation
Jiayi Luo, Qingyun Sun, Beining Yang et al.
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability
Shayan Karimi, Xiaoqi Tan
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi et al.
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation
Chenyang Jiang, Hang Zhao, Xinyu Zhang et al.
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
Na Li, Zewu Zheng, Wei Ni et al.
World Models as Reference Trajectories for Rapid Motor Adaptation
Carlos Stein Brito, Daniel McNamee
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper
Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu et al.
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu et al.
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
Yi Xiao, Hang Fan, Kun Chen et al.
User-Instructed Disparity-aware Defocus Control
Yudong Han, Yan Yang, Hao Yang et al.
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo, HanbinKoo, jieun yook et al.
ECO: Evolving Core Knowledge for Efficient Transfer
Fu Feng, Yucheng Xie, Ruixiao Shi et al.
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling
Hao Zheng, Shiyu Liang, Yuting Zheng et al.
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
Residual Stream Analysis of Overfitting And Structural Disruptions
Quan Liu, Han Zhou, Wenquan Wu et al.
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
Jiaheng Zhou, Wei Fang, Luyuan Xie et al.
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints
Batuhan Altundas, Shengkang Chen, Shivika Singh et al.
Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
Nianzu Yang, Songlin Jiang, Jian Ma et al.
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning
Xiaotian Liu, Ali Pesaranghader, Jaehong Kim et al.
Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation
Fangyun Wei, Jinjing Zhao, Kun Yan et al.
BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation
Rui Chu, Bingyin Zhao, Hanling Jiang et al.
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data
Yuchuan Li, Jae-Mo Kang, Il-Min Kim
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
Woosung Kim, Jinho Lee, Jongmin Lee et al.
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
Fangrui Zhu, Hanhui Wang, Yiming Xie et al.
Learning Endogenous Attention for Incremental Object Detection
Xiang Song, Yuhang He, Jingyuan Li et al.
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
Xiaoxuan Gong, Jie Ma
Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
Arnav Mehra, Alexandros Psomas
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li et al.
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
WANG Yun, Qiaole Dong, Yongjian Zhang et al.
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
Tianxing Wu, Shutong Zhu, Jingting Wang et al.
Towards Generalizable Detector for Generated Image
Qianshu Cai, Chao Wu, Yonggang Zhang et al.
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL
Matthew Zurek, Guy Zamir, Yudong Chen
Learning to Zoom with Anatomical Relations for Medical Structure Detection
Bin Pu, Liwen Wang, Xingbo Dong et al.
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
Qixin Zhang, Yan Sun, Can Jin et al.
Error Forcing in Recurrent Neural Networks
A Sağtekin, Colin Bredenberg, Cristina Savin
Understanding Differential Transformer Unchains Pretrained Self-Attentions
Chaerin Kong, Jiho Jang, Nojun Kwak
Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations
Chao Su, Likang Peng, Yuan Sun et al.
Encouraging metric-aware diversity in contrastive representation space
Tianxu Li, Kun Zhu
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling
Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
Xiaochen Zhao, Chengting Yu, Kairong Yu et al.
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model
Xiangkun Wang, Kejiang Chen, Lincong Li et al.
MVBoost: Boost 3D Reconstruction with Multi-View Refinement
Xiangyu Liu, Xiaomei Zhang, Zhiyuan Ma et al.
IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
Jingyi Xu, Siwei Tu, Weidong Yang et al.
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Derezinski, Daniel LeJeune, Deanna Needell et al.
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
Tianhao Ma, Han Chen, Juncheng Hu et al.
Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.
Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
Josu Eguíluz, Axel Brando, Migle Laukyte et al.
Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
Nicholas Vincent, Matt Prewitt, Hanlin Li
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.
Prohibiting Generative AI in any Form of Weapon Control
Mary Cummings
The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education
Devan Walton, Haesol Bae
Dual Focus-Attention Transformer for Robust Point Cloud Registration
Kexue Fu, Ming'zhi Yuan, Changwei Wang et al.
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification
Rui Gong, Kim-Hui Yap, Weide Liu et al.
DataSIR: A Benchmark Dataset for Sensitive Information Recognition
Fan Mo, Bo Liu, Yuan Fan et al.
Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding
Ryo Umagami, Liu Yue, Xuangeng Chu et al.
Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning
Zailong Tian, Zhuoheng Han, Houfeng Wang et al.
ConnectomeBench: Can LLMs proofread the connectome?
Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts
Zhuo Han, Yi Yang, Yi Feng et al.
PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA
Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.
Merlin L48 Spectrogram Dataset
Aaron Sun, Subhransu Maji, Grant Van Horn
MolVision: Molecular Property Prediction with Vision Language Models
Deepan Adak, Yogesh Rawat, Shruti Vyas
mmWalk: Towards Multi-modal Multi-view Walking Assistance
Kedi Ying, Ruiping Liu, Chongyan Chen et al.
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
Pawan Neupane, Jian Liu, Jianlin Cheng
DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
Zhenyu Cui, Jiahuan Zhou, Yuxin Peng
TAPAS: Datasets for Learning the Learning with Errors Problem
Eshika Saxena, Alberto Alfarano, Francois Charton et al.
DQVis Dataset: Natural Language to Biomedical Visualization
Devin Lange, Pengwei Sui, Shanghua Gao et al.
TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
Zhihao Wang, Cooper Li, Ruichen Wang et al.
Aeolus: A Multi-structural Flight Delay Dataset
Lin Xu, Xinyun Yuan, Yuxuan Liang et al.
Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.
REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
Xiaojun Ning, Jing Wang, Zhiyang Feng et al.
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
Jianyang Zhang, Qianli Luo, Guowu Yang et al.
Benchmarking Large Language Models with Integer Sequence Generation Tasks
Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.
Shape and Texture: What Influences Reliable Optical Flow Estimation?
Libo Long, Xiao Hu, Jochen Lang
CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design
Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.
PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.
Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
Razaib Tariq, Minji Heo, Shahroz Tariq et al.
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes
JunYong Choi, Min-Cheol Sagong, SeokYeong Lee et al.
STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
Ethan Trepka, Ruobing Xia, Shude Zhu et al.
SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia
Mengxuan Chen, Li, Zou Ziheng et al.
PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
Wei LIN, Yiwei Zhou, Junkai Zhang et al.
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data
Wenchao Ma, Dario Kneubuehler, Maurice Chu et al.
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording et al.
egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks
Matthias Jammot, Björn Braun, Paul Streli et al.
Learning Extremely High Density Crowds as Active Matters
Feixiang He, Jiangbei Yue, Jialin Zhu et al.
VMDT: Decoding the Trustworthiness of Video Foundation Models
Yujin Potter, Zhun Wang, Nicholas Crispino et al.
CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
Zhihao Wang, Lei Ma, George Hurtt et al.
Towards Automated Petrography
Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.
UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
Yide Qiu, Tong Zhang, Shaoxiang Ling et al.
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
Xiyuan Jin, Jing Wang, Ziwei Lin et al.
Planning with Quantized Opponent Models
XiaoPeng Yu, Kefan Su, Zongqing Lu
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
William Réveillard, Richard Combes
CaricatureBooth: Data-Free Interactive Caricature Generation in a Photo Booth
Zhiyu Qu, Yunqi Miao, Zhensong Zhang et al.
Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.
Improving Deep Learning for Accelerated MRI With Data Filtering
Kang Lin, Anselm Krainovic, Kun Wang et al.
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
Xiao Cui, Yulei Qin, Wengang Zhou et al.
CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
Xiaokun Li, Yaping Huang, Qingji Guan
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning
Han Liu, Peng Cui, Bingning Wang et al.
Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.
IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture
Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.
Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning
Hisham Temmar, Yixuan Wang, Nina Gill et al.
IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer
Zi Yang, Lei Qiu, FANG LYU et al.
CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research
Owen Queen, Harrison Zhang, James Zou
Adaptive Parameter Selection for Tuning Vision-Language Models
Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo et al.
CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing
Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.