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575,626 papers

PhysGaia: A Physics-Aware Dataset of Multi-Body Interactions for Dynamic Novel View Synthesis

Mijeong Kim, Gunhee Kim, Jungyoon Choi, Wonjae Roh, Bohyung Han et al.

2025-06-03Novel View SynthesisScene Understanding
PaperCode
VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction

Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva

2025-06-03Surface ReconstructionManagementNutrition
PaperCode
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples

Junyu Liu, R. Kenny Jones, Daniel Ritchie

2025-06-03Disentanglement
Paper
TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models

Chetwin Low, Weimin WANG

2025-06-03Large Language ModelKnowledge DistillationLanguage Modelling+1
Paper
HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers

Zhiyuan Yu, Zhe Li, Hujun Bao, Can Yang, Xiaowei Zhou et al.

2025-06-033D Human Reconstruction
Paper
Multi-Spectral Gaussian Splatting with Neural Color Representation

Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger et al.

2025-06-03Camera Calibration3DGS
Paper
Comparison of different Unique hard attention transformer models by the formal languages they can recognize

Leonid Ryvkin

2025-06-03
Paper
Probabilistic Online Event Downsampling

Andreu Girbau-Xalabarder, Jun Nagata, Shinichi Sumiyoshi

2025-06-03Surface Normal Estimationobject-detectionObject Detection
Paper
Labelling Data with Unknown References

Adrian de Wynter

2025-06-03
PaperCode
Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models

Victor H. Cid, James Mork

2025-06-03Retrieval
Paper
Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning

Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang et al.

2025-06-03Federated Learning
Paper
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling

Xiyu Zhao, Qimei Cui, Ziqiang Du, Weicai Li, Xi Yu et al.

2025-06-03FairnessPersonalized Federated LearningQuantization+2
Paper
Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM

Yong Xiang, Charley Peter Chen, Liyi Zeng, Wei Yin, Xin Liu et al.

2025-06-03
Paper
KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider

Jiahao Wang, Jinbo Han, Xingda Wei, Sijie Shen, Dingyan Zhang et al.

2025-06-03
PaperCode
Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization

Ruilong Wu, Xinjiao Li, Yisu Wang, Xinyu Chen, Dirk Kutscher et al.

2025-06-03
Paper
A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads

András Strausz, Niels Pardon, Ioana Giurgiu

2025-06-03Multi-Task Learning
Paper
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks

Tri Kurniawan Wijaya, Xinyang Shao, Gonzalo Fiz Pontiveros, Edoardo D'Amico

2025-06-03Feature EngineeringModel SelectionRecommendation Systems
Paper
Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components

Ram Potham

2025-06-03
Paper
Beware! The AI Act Can Also Apply to Your AI Research Practices

Alina Wernick, Kristof Meding

2025-06-03
Paper
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies

Khizar Hayat, Baptiste Magnier

2025-06-03Fraud Detection
Paper
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