Paper List

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

Summary of Unveiling the Threat Of Fraud Gangs to Graph Neural Networks: Multi-target Graph Injection Attacks Against Gnn-based Fraud Detectors, by Jinhyeok Choi et al.
Summary of Chai-tea: a Benchmark For Evaluating Autocompletion Of Interactions with Llm-based Chatbots, by Shani Goren et al.
Summary of Rdpm: Solve Diffusion Probabilistic Models Via Recurrent Token Prediction, by Xiaoping Wu and Jie Hu and Xiaoming Wei
Summary of Scaling Capability in Token Space: An Analysis Of Large Vision Language Model, by Tenghui Li and Guoxu Zhou and Xuyang Zhao and Qibin Zhao
Summary of Extract Free Dense Misalignment From Clip, by Jeongyeon Nam et al.
Summary of A Statistical Framework For Ranking Llm-based Chatbots, by Siavash Ameli et al.
Summary of Mixmas: a Framework For Sampling-based Mixer Architecture Search For Multimodal Fusion and Learning, by Abdelmadjid Chergui et al.
Summary of Neural Conformal Control For Time Series Forecasting, by Ruipu Li et al.
Summary of Learning Randomized Reductions and Program Properties, by Ferhat Erata et al.
Summary of Stochastic Control For Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence, by Yinbin Han 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 Unified Stochastic Framework For Neural Network Quantization and Pruning, by Haoyu Zhang 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 Robustness-aware Automatic Prompt Optimization, by Zeru Shi 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 Developing Cryptocurrency Trading Strategy Based on Autoencoder-cnn-gans Algorithms, by Zhuohuan Hu et al.
Summary of Accelerating Aigc Services with Latent Action Diffusion Scheduling in Edge Networks, by Changfu Xu et al.
Summary of Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion, by Liang Du 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 Conditional Deep Canonical Time Warping, by Afek Steinberg et al.
Summary of Towards Macro-auc Oriented Imbalanced Multi-label Continual Learning, by Yan Zhang 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 Efficient Contrastive Explanations on Demand, by Yacine Izza and Joao Marques-silva
Summary of High-rank Irreducible Cartesian Tensor Decomposition and Bases Of Equivariant Spaces, by Shihao Shao et al.
Summary of Noisehgnn: Synthesized Similarity Graph-based Neural Network For Noised Heterogeneous Graph Representation Learning, by Xiong Zhang 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 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 Archcomplete: Autoregressive 3d Architectural Design Generation with Hierarchical Diffusion-based Upsampling, by S. Rasoulzadeh et al.
Summary of Carl-gt: Evaluating Causal Reasoning Capabilities Of Large Language Models, by Ruibo Tu et al.
Summary of Extending Graph Condensation to Multi-label Datasets: a Benchmark Study, by Liangliang Zhang 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 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 Heterogeneous Transfer Learning For High Dimensional Regression with Feature Mismatch, by Jae Ho Chang et al.
Summary of Fedtlu: Federated Learning with Targeted Layer Updates, by Jong-ik Park and Carlee Joe-wong
Summary of Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity, By Yixin Ren et al.
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 Minimax Optimal Simple Regret in Two-armed Best-arm Identification, by Masahiro Kato
Summary of Deliberation in Latent Space Via Differentiable Cache Augmentation, by Luyang Liu 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 Memory Makes Computation Universal, Remember?, by Erik Garrison
Summary of Observation Interference in Partially Observable Assistance Games, by Scott Emmons et al.
Summary of Examining Imbalance Effects on Performance and Demographic Fairness Of Clinical Language Models, by Precious Jones et al.
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 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 Active Geospatial Search For Efficient Tenant Eviction Outreach, by Anindya Sarkar et al.
Summary of The Unreasonable Effectiveness Of Open Science in Ai: a Replication Study, by Odd Erik Gundersen 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 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.
Summary of Gqsa: Group Quantization and Sparsity For Accelerating Large Language Model Inference, by Chao Zeng et al.
Summary of The Dynamic Duo Of Collaborative Masking and Target For Advanced Masked Autoencoder Learning, by Shentong Mo
Summary of Evaluation Of Bio-inspired Models Under Different Learning Settings For Energy Efficiency in Network Traffic Prediction, by Theodoros Tsiolakis 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 Graph Size-imbalanced Learning with Energy-guided Structural Smoothing, by Jiawen Qin et al.
Summary of Improved Cotton Leaf Disease Classification Using Parameter-efficient Deep Learning Framework, by Aswini Kumar Patra et al.
Summary of Easytime: Time Series Forecasting Made Easy, by Xiangfei Qiu et al.
Summary of Pc Agent: While You Sleep, Ai Works — a Cognitive Journey Into Digital World, by Yanheng He 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 Tracking the Feature Dynamics in Llm Training: a Mechanistic Study, by Yang Xu 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 Benchmarking Generative Ai Models For Deep Learning Test Input Generation, by Maryam et al.
Summary of Cobra: Combinatorial Retrieval Augmentation For Few-shot Learning, by Arnav M. Das et al.
Summary of Non-convex Tensor Recovery From Local Measurements, by Tongle Wu et al.
Summary of Exploiting Label Skewness For Spiking Neural Networks in Federated Learning, by Di Yu et al.
Summary of Improving Pareto Set Learning For Expensive Multi-objective Optimization Via Stein Variational Hypernetworks, by Minh-duc Nguyen et al.
Summary of Collaborative Optimization in Financial Data Mining Through Deep Learning and Resnext, by Pengbin Feng et al.
Summary of Fast Gradient Computation For Rope Attention in Almost Linear Time, by Yifang Chen et al.
Summary of Better Knowledge Enhancement For Privacy-preserving Cross-project Defect Prediction, by Yuying Wang et al.
Summary of Xpatch: Dual-stream Time Series Forecasting with Exponential Seasonal-trend Decomposition, by Artyom Stitsyuk and Jaesik Choi
Summary of Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition, By Jaeheun Jung et al.
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