Paper List

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Summary of Fedgig: Graph Inversion From Gradient in Federated Learning, by Tianzhe Xiao et al.
Summary of Bayesian Optimization Of Bilevel Problems, by Omer Ekmekcioglu et al.
Summary of Characterizations Of Language Generation with Breadth, by Alkis Kalavasis et al.
Summary of Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion, by Liang Du et al.
Summary of Leveraging Deep Learning with Multi-head Attention For Accurate Extraction Of Medicine From Handwritten Prescriptions, by Usman Ali et al.
Summary of Accelerating Aigc Services with Latent Action Diffusion Scheduling in Edge Networks, by Changfu Xu et al.
Summary of On the Effectiveness Of Adversarial Training on Malware Classifiers, by Hamid Bostani et al.
Summary of Gims: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network, by Xianfeng Song et al.
Summary of Towards Macro-auc Oriented Imbalanced Multi-label Continual Learning, by Yan Zhang et al.
Summary of Conditional Deep Canonical Time Warping, by Afek Steinberg et al.
Summary of Detection and Forecasting Of Parkinson Disease Progression From Speech Signal Features Using Multilayer Perceptron and Lstm, by Majid Ali et al.
Summary of Robust Semi-supervised Learning in Open Environments, by Lan-zhe Guo et al.
Summary of High-rank Irreducible Cartesian Tensor Decomposition and Bases Of Equivariant Spaces, by Shihao Shao et al.
Summary of Efficient Contrastive Explanations on Demand, by Yacine Izza and Joao Marques-silva
Summary of Noisehgnn: Synthesized Similarity Graph-based Neural Network For Noised Heterogeneous Graph Representation Learning, by Xiong Zhang et al.
Summary of Towards Modality Generalization: a Benchmark and Prospective Analysis, by Xiaohao Liu et al.
Summary of On the Local Complexity Of Linear Regions in Deep Relu Networks, by Niket Patel et al.
Summary of Semi-supervised Credit Card Fraud Detection Via Attribute-driven Graph Representation, by Sheng Xiang et al.
Summary of Towards Understanding How Attention Mechanism Works in Deep Learning, by Tianyu Ruan and Shihua Zhang
Summary of Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies, by Qi Liu and Wanjing Ma
Summary of Quo Vadis, Anomaly Detection? Llms and Vlms in the Spotlight, by Xi Ding and Lei Wang
Summary of Famebias: Embedding Manipulation Bias Attack in Text-to-image Models, by Jaechul Roh et al.
Summary of Data-driven Self-supervised Graph Representation Learning, by Ahmed E. Samy et al.
Summary of Archcomplete: Autoregressive 3d Architectural Design Generation with Hierarchical Diffusion-based Upsampling, by S. Rasoulzadeh et al.
Summary of Extending Graph Condensation to Multi-label Datasets: a Benchmark Study, by Liangliang Zhang et al.
Summary of Carl-gt: Evaluating Causal Reasoning Capabilities Of Large Language Models, by Ruibo Tu et al.
Summary of Data-driven Modeling Of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network, by Abdolvahhab Rostamijavanani et al.
Summary of Multimodal Learning with Uncertainty Quantification Based on Discounted Belief Fusion, by Grigor Bezirganyan et al.
Summary of An Information Theoretic Limit to Data Amplification, by S. J. Watts and L. Crow
Summary of Diverse Concept Proposals For Concept Bottleneck Models, by Katrina Brown et al.
Summary of Beyond Gradient Averaging in Parallel Optimization: Improved Robustness Through Gradient Agreement Filtering, by Francois Chaubard et al.
Summary of Mmfactory: a Universal Solution Search Engine For Vision-language Tasks, by Wan-cyuan Fan et al.
Summary of Heterogeneous Transfer Learning For High Dimensional Regression with Feature Mismatch, by Jae Ho Chang et al.
Summary of An Attention-based Framework with Multistation Information For Earthquake Early Warnings, by Yu-ming Huang et al.
Summary of Tackling the Dynamicity in a Production Llm Serving System with Sota Optimizations Via Hybrid Prefill/decode/verify Scheduling on Efficient Meta-kernels, by Mingcong Song et al.
Summary of Learning Randomized Reductions and Program Properties, by Ferhat Erata et al.
Summary of Neural Conformal Control For Time Series Forecasting, by Ruipu Li et al.
Summary of Stochastic Control For Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence, by Yinbin Han et al.
Summary of Unified Stochastic Framework For Neural Network Quantization and Pruning, by Haoyu Zhang et al.
Summary of Enhancing Online Continual Learning with Plug-and-play State Space Model and Class-conditional Mixture Of Discretization, by Sihao Liu et al.
Summary of Robustness-aware Automatic Prompt Optimization, by Zeru Shi et al.
Summary of Learning Sign Language Representation Using Cnn Lstm, 3dcnn, Cnn Rnn Lstm and Ccn Td, by Nikita Louison et al.
Summary of Developing Cryptocurrency Trading Strategy Based on Autoencoder-cnn-gans Algorithms, by Zhuohuan Hu et al.
Summary of Survey Of Large Multimodal Model Datasets, Application Categories and Taxonomy, by Priyaranjan Pattnayak et al.
Summary of Hyperq-opt: Q-learning For Hyperparameter Optimization, by Md. Tarek Hasan
Summary of Researchtown: Simulator Of Human Research Community, by Haofei Yu et al.
Summary of Examining Imbalance Effects on Performance and Demographic Fairness Of Clinical Language Models, by Precious Jones et al.
Summary of Observation Interference in Partially Observable Assistance Games, by Scott Emmons et al.
Summary of Memory Makes Computation Universal, Remember?, by Erik Garrison
Summary of Token Statistics Transformer: Linear-time Attention Via Variational Rate Reduction, by Ziyang Wu et al.
Summary of Lami-go: Latent Mixture Integration For Goal-oriented Communications Achieving High Spectrum Efficiency, by Achintha Wijesinghe et al.
Summary of Active Geospatial Search For Efficient Tenant Eviction Outreach, by Anindya Sarkar et al.
Summary of Bridging the Data Provenance Gap Across Text, Speech and Video, by Shayne Longpre et al.
Summary of Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks, by Abhiroop Bhattacharya et al.
Summary of Graph Structure Refinement with Energy-based Contrastive Learning, by Xianlin Zeng et al.
Summary of In Defence Of Post-hoc Explainability, by Nick Oh
Summary of The Unreasonable Effectiveness Of Open Science in Ai: a Replication Study, by Odd Erik Gundersen et al.
Summary of Trading Devil Rl: Backdoor Attack Via Stock Market, Bayesian Optimization and Reinforcement Learning, by Orson Mengara
Summary of A Novel Approach to Balance Convenience and Nutrition in Meals with Long-term Group Recommendations and Reasoning on Multimodal Recipes and Its Implementation in Beacon, by Vansh Nagpal et al.
Summary of Data-driven Priors in the Maximum Entropy on the Mean Method For Linear Inverse Problems, by Matthew King-roskamp et al.
Summary of Causal Composition Diffusion Model For Closed-loop Traffic Generation, by Haohong Lin et al.
Summary of Vitro: Vocabulary Inversion For Time-series Representation Optimization, by Filippos Bellos et al.
Summary of Study Of the Proper Nnue Dataset, by Daniel Tan et al.
Summary of Hpcneuronet: a Neuromorphic Approach Merging Snn Temporal Dynamics with Transformer Attention For Fpga-based Particle Physics, by Murat Isik et al.
Summary of Improved Cotton Leaf Disease Classification Using Parameter-efficient Deep Learning Framework, by Aswini Kumar Patra et al.
Summary of Pc Agent: While You Sleep, Ai Works — a Cognitive Journey Into Digital World, by Yanheng He et al.
Summary of Graph Size-imbalanced Learning with Energy-guided Structural Smoothing, by Jiawen Qin et al.
Summary of Easytime: Time Series Forecasting Made Easy, by Xiangfei Qiu et al.
Summary of Towards Foundation Models on Graphs: An Analysis on Cross-dataset Transfer Of Pretrained Gnns, by Fabrizio Frasca et al.
Summary of Can Stability Be Detrimental? Better Generalization Through Gradient Descent Instabilities, by Lawrence Wang et al.
Summary of Be More Diverse Than the Most Diverse: Online Selection Of Diverse Mixtures Of Generative Models, by Parham Rezaei et al.
Summary of Benchmarking Generative Ai Models For Deep Learning Test Input Generation, by Maryam et al.
Summary of Rate Of Model Collapse in Recursive Training, by Ananda Theertha Suresh and Andrew Thangaraj and Aditya Nanda Kishore Khandavally
Summary of Tracking the Feature Dynamics in Llm Training: a Mechanistic Study, by Yang Xu et al.
Summary of Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity, By Yixin Ren et al.
Summary of Cobra: Combinatorial Retrieval Augmentation For Few-shot Learning, by Arnav M. Das et al.
Summary of Fedtlu: Federated Learning with Targeted Layer Updates, by Jong-ik Park and Carlee Joe-wong
Summary of Asynchronous Federated Learning: a Scalable Approach For Decentralized Machine Learning, by Ali Forootani et al.
Summary of Vidtwin: Video Vae with Decoupled Structure and Dynamics, by Yuchi Wang et al.
Summary of Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-down Feedback, by Jacob Fein-ashley et al.
Summary of Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning, by Christian A. Schroth et al.
Summary of Deliberation in Latent Space Via Differentiable Cache Augmentation, by Luyang Liu et al.
Summary of Minimax Optimal Simple Regret in Two-armed Best-arm Identification, by Masahiro Kato
Summary of Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets, by Akane Tsuboya et al.
Summary of Three-class Text Sentiment Analysis Based on Lstm, by Yin Qixuan
Summary of Bi-directional Multi-scale Graph Dataset Condensation Via Information Bottleneck, by Xingcheng Fu et al.
Summary of Towards Intrinsic Self-correction Enhancement in Monte Carlo Tree Search Boosted Reasoning Via Iterative Preference Learning, by Huchen Jiang et al.
Summary of Pretraining with Random Noise For Uncertainty Calibration, by Jeonghwan Cheon and Se-bum Paik
Summary of Learning From Summarized Data: Gaussian Process Regression with Sample Quasi-likelihood, by Yuta Shikuri
Summary of Applying Llm and Topic Modelling in Psychotherapeutic Contexts, by Alexander Vanin et al.
Summary of Diving Into Self-evolving Training For Multimodal Reasoning, by Wei Liu et al.
Summary of Deepmf: Deep Motion Factorization For Closed-loop Safety-critical Driving Scenario Simulation, by Yizhe Li et al.
Summary of Line Graph Vietoris-rips Persistence Diagram For Topological Graph Representation Learning, by Jaesun Shin et al.
Summary of Improving the Noise Estimation Of Latent Neural Stochastic Differential Equations, by Linus Heck et al.
Summary of More Is Less? a Simulation-based Approach to Dynamic Interactions Between Biases in Multimodal Models, by Mounia Drissi
Summary of An Efficient Search-and-score Algorithm For Ancestral Graphs Using Multivariate Information Scores, by Nikita Lagrange et al.
Summary of Constructing Fair Latent Space For Intersection Of Fairness and Explainability, by Hyungjun Joo et al.
Summary of Bee: Metric-adapted Explanations Via Baseline Exploration-exploitation, by Oren Barkan et al.
Summary of Leveraging Cardiovascular Simulations For In-vivo Prediction Of Cardiac Biomarkers, by Laura Manduchi et al.
Summary of Probability-density-aware Semi-supervised Learning, by Shuyang Liu et al.