Paper List

We recommend you use the search box as this list is very long.

Summary of Fb-hydon: Parameter-efficient Physics-informed Operator Learning Of Complex Pdes Via Hypernetwork and Finite Basis Domain Decomposition, by Milad Ramezankhani et al.
Summary of A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning, by Yuesheng Xu and Arielle Carr
Summary of Cross-entropy Optimization For Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks, by Kevin Li et al.
Summary of Can Kans (re)discover Predictive Models For Direct-drive Laser Fusion?, by Rahman Ejaz et al.
Summary of Kinect Calibration and Data Optimization For Anthropometric Parameters, by M.s. Gokmen et al.
Summary of Declip: Decoding Clip Representations For Deepfake Localization, by Stefan Smeu et al.
Summary of Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control, by Carles Domingo-enrich et al.
Summary of Exploring Graph Structure Comprehension Ability Of Multimodal Large Language Models: Case Studies, by Zhiqiang Zhong and Davide Mottin
Summary of Establish Seedling Quality Classification Standard For Chrysanthemum Efficiently with Help Of Deep Clustering Algorithm, by Yanzhi Jing and Hongguang Zhao and Shujun Yu
Summary of Detect Fake with Fake: Leveraging Synthetic Data-driven Representation For Synthetic Image Detection, by Hina Otake et al.
Summary of Latent Space Score-based Diffusion Model For Probabilistic Multivariate Time Series Imputation, by Guojun Liang et al.
Summary of Xsub: Explanation-driven Adversarial Attack Against Blackbox Classifiers Via Feature Substitution, by Kiana Vu et al.
Summary of Multi Forests: Variable Importance For Multi-class Outcomes, by Roman Hornung (1 and 2) et al.
Summary of Delta: Dual Consistency Delving with Topological Uncertainty For Active Graph Domain Adaptation, by Pengyun Wang et al.
Summary of Optimization and Generalization Guarantees For Weight Normalization, by Pedro Cisneros-velarde et al.
Summary of A Bayesian Approach to Clustering Via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (bbc) Algorithm, by Federico Maria Quetti and Silvia Figini and Elena Ballante
Summary of Pinnfluence: Influence Functions For Physics-informed Neural Networks, by Jonas R. Naujoks et al.
Summary of Model-independent Variable Selection Via the Rule-based Variable Priority, by Min Lu and Hemant Ishwaran
Summary of Sgformer: Single-layer Graph Transformers with Approximation-free Linear Complexity, by Qitian Wu et al.
Summary of An Efficient and Streaming Audio Visual Active Speaker Detection System, by Arnav Kundu et al.
Summary of Inn-par: Invertible Neural Network For Ppg to Abp Reconstruction, by Soumitra Kundu and Gargi Panda and Saumik Bhattacharya and Aurobinda Routray and Rajlakshmi Guha
Summary of Autogeo: Automating Geometric Image Dataset Creation For Enhanced Geometry Understanding, by Zihan Huang et al.
Summary of Bounds on the Generalization Error in Active Learning, by Vincent Menden et al.
Summary of Towards Certifiable Ai in Aviation: Landscape, Challenges, and Opportunities, by Hymalai Bello et al.
Summary of Redesigning Graph Filter-based Gnns to Relax the Homophily Assumption, by Samuel Rey et al.
Summary of Personalized Weight Loss Management Through Wearable Devices and Artificial Intelligence, by Sergio Romero-tapiador et al.
Summary of Precision Aquaculture: An Integrated Computer Vision and Iot Approach For Optimized Tilapia Feeding, by Rania Hossam et al.
Summary of L3cube-indicquest: a Benchmark Question Answering Dataset For Evaluating Knowledge Of Llms in Indic Context, by Pritika Rohera et al.
Summary of Layerwise Change Of Knowledge in Neural Networks, by Xu Cheng et al.
Summary of Quasimetric Value Functions with Dense Rewards, by Khadichabonu Valieva and Bikramjit Banerjee
Summary of Bridging Dynamic Factor Models and Neural Controlled Differential Equations For Nowcasting Gdp, by Seonkyu Lim et al.
Summary of Multi-intent Aware Contrastive Learning For Sequential Recommendation, by Junshu Huang et al.
Summary of Adaptive Sampling For Continuous Group Equivariant Neural Networks, by Berfin Inal and Gabriele Cesa
Summary of Uncertainty and Generalizability in Foundation Models For Earth Observation, by Raul Ramos-pollan et al.
Summary of A Hybrid Meta-learning and Multi-armed Bandit Approach For Context-specific Multi-objective Recommendation Optimization, by Tiago Cunha et al.
Summary of Uncertainty Estimation by Density Aware Evidential Deep Learning, By Taeseong Yoon and Heeyoung Kim
Summary of Online Network Inference From Graph-stationary Signals with Hidden Nodes, by Andrei Buciulea et al.
Summary of Sauc: Sparsity-aware Uncertainty Calibration For Spatiotemporal Prediction with Graph Neural Networks, by Dingyi Zhuang et al.
Summary of Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent, by Hikaru Umeda et al.
Summary of Electrocardiogram Report Generation and Question Answering Via Retrieval-augmented Self-supervised Modeling, by Jialu Tang et al.
Summary of In-depth Analysis Of Low-rank Matrix Factorisation in a Federated Setting, by Constantin Philippenko et al.
Summary of Tabkanet: Tabular Data Modeling with Kolmogorov-arnold Network and Transformer, by Weihao Gao et al.
Summary of Autoirt: Calibrating Item Response Theory Models with Automated Machine Learning, by James Sharpnack et al.
Summary of Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling, by Vivek Oommen et al.
Summary of Risks When Sharing Lora Fine-tuned Diffusion Model Weights, by Dixi Yao
Summary of Sub-graph Based Diffusion Model For Link Prediction, by Hang Li et al.
Summary of Enhancing Privacy in Controlnet and Stable Diffusion Via Split Learning, by Dixi Yao
Summary of Anytime Continual Learning For Open Vocabulary Classification, by Zhen Zhu et al.
Summary of Integration Of Mamba and Transformer — Mat For Long-short Range Time Series Forecasting with Application to Weather Dynamics, by Wenqing Zhang et al.
Summary of Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice, by Tian-yi Zhou et al.
Summary of An Efficient Privacy-aware Split Learning Framework For Satellite Communications, by Jianfei Sun et al.
Summary of Causal Gnns: a Gnn-driven Instrumental Variable Approach For Causal Inference in Networks, by Xiaojing Du et al.
Summary of Think Twice Before You Act: Improving Inverse Problem Solving with Mcmc, by Yaxuan Zhu et al.
Summary of Second-order Difference Subspace, by Kazuhiro Fukui et al.
Summary of Fair Covariance Neural Networks, by Andrea Cavallo et al.
Summary of Batch Ensemble For Variance Dependent Regret in Stochastic Bandits, by Asaf Cassel (1) et al.
Summary of Molecular Graph Representation Learning Via Structural Similarity Information, by Chengyu Yao et al.
Summary of Optimizing Item-based Marketing Promotion Efficiency in C2c Marketplace with Dynamic Sequential Coupon Allocation Framework, by Jie Yang et al.
Summary of Improving Analog Neural Network Robustness: a Noise-agnostic Approach with Explainable Regularizations, by Alice Duque et al.
Summary of Byzantine-robust and Communication-efficient Distributed Learning Via Compressed Momentum Filtering, by Changxin Liu et al.
Summary of Promoting Fairness in Link Prediction with Graph Enhancement, by Yezi Liu et al.
Summary of Cpl: Critical Plan Step Learning Boosts Llm Generalization in Reasoning Tasks, by Tianlong Wang et al.
Summary of Online Learning Of Expanding Graphs, by Samuel Rey et al.
Summary of Graph Laplacian-based Bayesian Multi-fidelity Modeling, by Orazio Pinti and Jeremy M. Budd and Franca Hoffmann and Assad A. Oberai
Summary of Cliqueph: Higher-order Information For Graph Neural Networks Through Persistent Homology on Clique Graphs, by Davide Buffelli et al.
Summary of Multi-model Based Federated Learning Against Model Poisoning Attack: a Deep Learning Based Model Selection For Mec Systems, by Somayeh Kianpisheh et al.
Summary of Style-based Clustering Of Visual Artworks and the Play Of Neural Style-representations, by Abhishek Dangeti et al.
Summary of Dreambeast: Distilling 3d Fantastical Animals with Part-aware Knowledge Transfer, by Runjia Li et al.
Summary of Lorid: Low-rank Iterative Diffusion For Adversarial Purification, by Geigh Zollicoffer et al.
Summary of Activation Function Optimization Method: Learnable Series Linear Units (lslus), by Chuan Feng et al.
Summary of Click2mask: Local Editing with Dynamic Mask Generation, by Omer Regev et al.
Summary of Diredi: Distillation and Reverse Distillation For Aiot Applications, by Chen Sun et al.
Summary of Sig: a Synthetic Identity Generation Pipeline For Generating Evaluation Datasets For Face Recognition, by Kassi Nzalasse et al.
Summary of Theoretical Guarantees in Kl For Diffusion Flow Matching, by Marta Gentiloni Silveri et al.
Summary of Fedprophet: Memory-efficient Federated Adversarial Training Via Theoretic-robustness and Low-inconsistency Cascade Learning, by Minxue Tang et al.
Summary of Rethinking Prompting Strategies For Multi-label Recognition with Partial Annotations, by Samyak Rawlekar et al.
Summary of Federated One-shot Ensemble Clustering, by Rui Duan et al.
Summary of Higher-order Topological Directionality and Directed Simplicial Neural Networks, by Manuel Lecha et al.
Summary of Wasserstein Distributionally Robust Multiclass Support Vector Machine, by Michael Ibrahim et al.
Summary of Scores As Actions: a Framework Of Fine-tuning Diffusion Models by Continuous-time Reinforcement Learning, By Hanyang Zhao et al.
Summary of Predictive Control and Regret Analysis Of Non-stationary Mdp with Look-ahead Information, by Ziyi Zhang et al.
Summary of Explaining Datasets in Words: Statistical Models with Natural Language Parameters, by Ruiqi Zhong et al.
Summary of Rethinking Meta-learning From a Learning Lens, by Jingyao Wang et al.
Summary of Enhanced Online Grooming Detection Employing Context Determination and Message-level Analysis, by Jake Street et al.
Summary of Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?, by Kerem Cekmeceli et al.
Summary of Spark: Self-supervised Personalized Real-time Monocular Face Capture, by Kelian Baert et al.
Summary of Games For Ai Control: Models Of Safety Evaluations Of Ai Deployment Protocols, by Charlie Griffin et al.
Summary of Privacy-preserving Federated Prediction Of Pain Intensity Change Based on Multi-center Survey Data, by Supratim Das et al.
Summary of Multiplex Graph Contrastive Learning with Soft Negatives, by Zhenhao Zhao et al.
Summary of Learning Causally Invariant Reward Functions From Diverse Demonstrations, by Ivan Ovinnikov et al.
Summary of Network Anomaly Traffic Detection Via Multi-view Feature Fusion, by Song Hao et al.
Summary of Edge-wise Graph-instructed Neural Networks, by Francesco Della Santa et al.
Summary of Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications, by Joao Pereira et al.
Summary of Heterogeneous Sheaf Neural Networks, by Luke Braithwaite et al.
Summary of Whisperner: Unified Open Named Entity and Speech Recognition, by Gil Ayache et al.
Summary of Q-value Regularized Decision Convformer For Offline Reinforcement Learning, by Teng Yan et al.
Summary of Demau: Decompose, Explore, Model and Analyse Uncertainties, by Arthur Hoarau et al.
Summary of Towards a Graph-based Foundation Model For Network Traffic Analysis, by Louis Van Langendonck et al.
Summary of On the Role Of Context in Reading Time Prediction, by Andreas Opedal et al.
Summary of Open Source Infrastructure For Automatic Cell Segmentation, by Aaron Rock Menezes and Bharath Ramsundar