Paper List

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

Summary of Representative Arm Identification: a Fixed Confidence Approach to Identify Cluster Representatives, by Sarvesh Gharat et al.
Summary of Application Of Disentanglement to Map Registration Problem, by Hae Jin Song et al.
Summary of Lemon and Orange Disease Classification Using Cnn-extracted Features and Machine Learning Classifier, by Khandoker Nosiba Arifin et al.
Summary of Enhancing Robustness Of Human Detection Algorithms in Maritime Sar Through Augmented Aerial Images to Simulate Weather Conditions, by Miguel Tjia et al.
Summary of Mask-encoded Sparsification: Mitigating Biased Gradients in Communication-efficient Split Learning, by Wenxuan Zhou et al.
Summary of Lecture Notes on Linear Neural Networks: a Tale Of Optimization and Generalization in Deep Learning, by Nadav Cohen et al.
Summary of Prior Learning in Introspective Vaes, by Ioannis Athanasiadis et al.
Summary of Rocp-gnn: Robust Conformal Prediction For Graph Neural Networks in Node-classification, by S. Akansha
Summary of Condensed Sample-guided Model Inversion For Knowledge Distillation, by Kuluhan Binici et al.
Summary of Draw Like An Artist: Complex Scene Generation with Diffusion Model Via Composition, Painting, and Retouching, by Minghao Liu et al.
Summary of Alphavit: a Flexible Game-playing Ai For Multiple Games and Variable Board Sizes, by Kazuhisa Fujita
Summary of Generalization Of Graph Neural Networks Is Robust to Model Mismatch, by Zhiyang Wang and Juan Cervino and Alejandro Ribeiro
Summary of Trail-det: Transformation-invariant Local Feature Networks For 3d Lidar Object Detection with Unsupervised Pre-training, by Li Li et al.
Summary of Convis: Contrastive Decoding with Hallucination Visualization For Mitigating Hallucinations in Multimodal Large Language Models, by Yeji Park et al.
Summary of Splatt3r: Zero-shot Gaussian Splatting From Uncalibrated Image Pairs, by Brandon Smart et al.
Summary of Fedglu: a Personalized Federated Learning-based Glucose Forecasting Algorithm For Improved Performance in Glycemic Excursion Regions, by Darpit Dave et al.
Summary of Learning to Move Like Professional Counter-strike Players, by David Durst et al.
Summary of Prediction Of Copd Using Machine Learning, Clinical Summary Notes, and Vital Signs, by Negar Orangi-fard
Summary of Time Series Analysis For Education: Methods, Applications, and Future Directions, by Shengzhong Mao et al.
Summary of Optimizing Luxury Vehicle Dealership Networks: a Graph Neural Network Approach to Site Selection, by Luca Silvano Carocci and Qiwei Han
Summary of Nemesis: Normalizing the Soft-prompt Vectors Of Vision-language Models, by Shuai Fu et al.
Summary of Dual-cba: Improving Online Continual Learning Via Dual Continual Bias Adaptors From a Bi-level Optimization Perspective, by Quanziang Wang et al.
Summary of Agentmove: a Large Language Model Based Agentic Framework For Zero-shot Next Location Prediction, by Jie Feng et al.
Summary of What If? Causal Machine Learning in Supply Chain Risk Management, by Mateusz Wyrembek et al.
Summary of Selective Preference Optimization Via Token-level Reward Function Estimation, by Kailai Yang et al.
Summary of Hybrid Training For Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning, by Mingliang Zhang et al.
Summary of Optimal Kernel Quantile Learning with Random Features, by Caixing Wang and Xingdong Feng
Summary of Preliminary Investigations Of a Multi-faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models, by Sakhinana Sagar Srinivas et al.
Summary of Staresnet: a Network in Spacetime Algebra to Solve Maxwell’s Pdes, by Alberto Pepe et al.
Summary of Advancing Enterprise Spatio-temporal Forecasting Applications: Data Mining Meets Instruction Tuning Of Language Models For Multi-modal Time Series Analysis in Low-resource Settings, by Sagar Srinivas Sakhinana et al.
Summary of Towards Case-based Interpretability For Medical Federated Learning, by Laura Latorre et al.
Summary of Enhancing Uplift Modeling in Multi-treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques, by Yoon Tae Park et al.
Summary of Explanatory Model Monitoring to Understand the Effects Of Feature Shifts on Performance, by Thomas Decker et al.
Summary of Reactzyme: a Benchmark For Enzyme-reaction Prediction, by Chenqing Hua et al.
Summary of Localize-and-stitch: Efficient Model Merging Via Sparse Task Arithmetic, by Yifei He et al.
Summary of Outlier Detection Bias Busted: Understanding Sources Of Algorithmic Bias Through Data-centric Factors, by Xueying Ding et al.
Summary of Hierarchical Network Fusion For Multi-modal Electron Micrograph Representation Learning with Foundational Large Language Models, by Sakhinana Sagar Srinivas et al.
Summary of Decentralised Variational Inference Frameworks For Multi-object Tracking on Sensor Networks: Additional Notes, by Qing Li et al.
Summary of Understanding Uncertainty-based Active Learning Under Model Mismatch, by Amir Hossein Rahmati et al.
Summary of Revisiting Dnn Training For Intermittently-powered Energy-harvesting Micro-computers, by Cyan Subhra Mishra et al.
Summary of Inspacetype: Dataset and Benchmark For Reconsidering Cross-space Type Performance in Indoor Monocular Depth, by Cho-ying Wu et al.
Summary of Improved Identification Of Breakpoints in Piecewise Regression and Its Applications, by Taehyeong Kim et al.
Summary of A Prototype-based Model For Set Classification, by Mohammad Mohammadi and Sreejita Ghosh
Summary of Power Scheduler: a Batch Size and Token Number Agnostic Learning Rate Scheduler, by Yikang Shen et al.
Summary of Coderefine: a Pipeline For Enhancing Llm-generated Code Implementations Of Research Papers, by Ekaterina Trofimova et al.
Summary of Reduce, Reuse, Recycle: Categories For Compositional Reinforcement Learning, by Georgios Bakirtzis et al.
Summary of Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks, by Xuran Hu et al.
Summary of Drugagent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoning, by Yoshitaka Inoue et al.
Summary of Llavaolmobitnet1b: Ternary Llm Goes Multimodal!, by Jainaveen Sundaram et al.
Summary of Optimal Layer Selection For Latent Data Augmentation, by Tomoumi Takase et al.
Summary of Explainable Concept Generation Through Vision-language Preference Learning, by Aditya Taparia et al.
Summary of Knowledge-aware Conversation Derailment Forecasting Using Graph Convolutional Networks, by Enas Altarawneh et al.
Summary of A Law Of Next-token Prediction in Large Language Models, by Hangfeng He et al.
Summary of Reinforcement Learning For Causal Discovery Without Acyclicity Constraints, by Bao Duong et al.
Summary of Uncovering Biases with Reflective Large Language Models, by Edward Y. Chang
Summary of Doppler: Differentially Private Optimizers with Low-pass Filter For Privacy Noise Reduction, by Xinwei Zhang et al.
Summary of Data Augmentation For Continual Rl Via Adversarial Gradient Episodic Memory, by Sihao Wu et al.
Summary of Llamaduo: Llmops Pipeline For Seamless Migration From Service Llms to Small-scale Local Llms, by Chansung Park et al.
Summary of Mpruner: Optimizing Neural Network Size with Cka-based Mutual Information Pruning, by Seungbeom Hu et al.
Summary of Disentangled Generative Graph Representation Learning, by Xinyue Hu et al.
Summary of Intope: Off-policy Evaluation in the Presence Of Interference, by Yuqi Bai et al.
Summary of Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning, by Alperen Tercan and Vinayak S. Prabhu
Summary of Rethinking State Disentanglement in Causal Reinforcement Learning, by Haiyao Cao et al.
Summary of Multi-layer Transformers Gradient Can Be Approximated in Almost Linear Time, by Yingyu Liang et al.
Summary of Amortized Bayesian Multilevel Models, by Daniel Habermann et al.
Summary of On the Design Of Scalable, High-precision Spherical-radial Fourier Features, by Ayoub Belhadji et al.
Summary of Jacnet: Learning Functions with Structured Jacobians, by Jonathan Lorraine et al.
Summary of Double Descent: Understanding Linear Model Estimation Of Nonidentifiable Parameters and a Model For Overfitting, by Ronald Christensen
Summary of Improving Equivariant Model Training Via Constraint Relaxation, by Stefanos Pertigkiozoglou et al.
Summary of Foundational Model For Electron Micrograph Analysis: Instruction-tuning Small-scale Language-and-vision Assistant For Enterprise Adoption, by Sakhinana Sagar Srinivas et al.
Summary of How Diffusion Models Learn to Factorize and Compose, by Qiyao Liang et al.
Summary of Retrieval-augmented Generation Meets Data-driven Tabula Rasa Approach For Temporal Knowledge Graph Forecasting, by Geethan Sannidhi et al.
Summary of Question Answering System Of Bridge Design Specification Based on Large Language Model, by Leye Zhang et al.
Summary of Abstract Art Interpretation Using Controlnet, by Rishabh Srivastava et al.
Summary of From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks For Orthopedic Radiograph Classification, by Jakub Olczak and Max Gordon
Summary of Causally-aware Spatio-temporal Multi-graph Convolution Network For Accurate and Reliable Traffic Prediction, by Pingping Dong et al.
Summary of Exploring Bias and Prediction Metrics to Characterise the Fairness Of Machine Learning For Equity-centered Public Health Decision-making: a Narrative Review, by Shaina Raza et al.
Summary of Online Zero-shot Classification with Clip, by Qi Qian et al.
Summary of The Ultimate Guide to Fine-tuning Llms From Basics to Breakthroughs: An Exhaustive Review Of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities, by Venkatesh Balavadhani Parthasarathy et al.
Summary of Localized Observation Abstraction Using Piecewise Linear Spatial Decay For Reinforcement Learning in Combat Simulations, by Scotty Black et al.
Summary of Mastering the Digital Art Of War: Developing Intelligent Combat Simulation Agents For Wargaming Using Hierarchical Reinforcement Learning, by Scotty Black
Summary of Sea: Semantic Adversarial Augmentation For Last Layer Features From Unsupervised Representation Learning, by Qi Qian et al.
Summary of Neurcam: Interpretable Neural Clustering Via Additive Models, by Nakul Upadhya and Eldan Cohen
Summary of A Comparison Of Deep Learning and Established Methods For Calf Behaviour Monitoring, by Oshana Dissanayake et al.
Summary of Aemlo: Autoencoder-guided Multi-label Oversampling, by Ao Zhou et al.
Summary of Multivariate Time-series Anomaly Detection Based on Enhancing Graph Attention Networks with Topological Analysis, by Zhe Liu et al.
Summary of Diffusion-based Episodes Augmentation For Offline Multi-agent Reinforcement Learning, by Jihwan Oh et al.
Summary of On the Good Reliability Of An Interval-based Metric to Validate Prediction Uncertainty For Machine Learning Regression Tasks, by Pascal Pernot
Summary of Functional Tensor Decompositions For Physics-informed Neural Networks, by Sai Karthikeya Vemuri et al.
Summary of Dynamic Label Adversarial Training For Deep Learning Robustness Against Adversarial Attacks, by Zhenyu Liu et al.
Summary of Controlled Learning Of Pointwise Nonlinearities in Neural-network-like Architectures, by Michael Unser et al.
Summary of Semantic Variational Bayes Based on a Semantic Information Theory For Solving Latent Variables, by Chenguang Lu
Summary of Convergence Of Unadjusted Langevin in High Dimensions: Delocalization Of Bias, by Yifan Chen et al.
Summary of Optimally Solving Simultaneous-move Dec-pomdps: the Sequential Central Planning Approach, by Johan Peralez et al.
Summary of Detpp: Leveraging Object Detection For Robust Long-horizon Event Prediction, by Ivan Karpukhin et al.
Summary of Verification Of Geometric Robustness Of Neural Networks Via Piecewise Linear Approximation and Lipschitz Optimisation, by Ben Batten et al.
Summary of Reproduction Of Scan B-statistic For Kernel Change-point Detection Algorithm, by Zihan Wang
Summary of Causal Machine Learning For Sustainable Agroecosystems, by Vasileios Sitokonstantinou et al.
Summary of Interpretable Breast Cancer Classification Using Cnns on Mammographic Images, by Ann-kristin Balve et al.
Summary of A Density Ratio Framework For Evaluating the Utility Of Synthetic Data, by Thom Benjamin Volker et al.