Paper List

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Summary of Simple Image Signal Processing Using Global Context Guidance, by Omar Elezabi et al.
Summary of Towards Reliable Empirical Machine Unlearning Evaluation: a Cryptographic Game Perspective, by Yiwen Tu et al.
Summary of Ltl-constrained Policy Optimization with Cycle Experience Replay, by Ameesh Shah et al.
Summary of Prompt Optimizer Of Text-to-image Diffusion Models For Abstract Concept Understanding, by Zezhong Fan et al.
Summary of Eeg_glt-net: Optimising Eeg Graphs For Real-time Motor Imagery Signals Classification, by Htoo Wai Aung et al.
Summary of Synthesizing Realistic Data For Table Recognition, by Qiyu Hou et al.
Summary of Reuse Out-of-year Data to Enhance Land Cover Mapping Via Feature Disentanglement and Contrastive Learning, by Cassio F. Dantas (umr Tetis et al.
Summary of Variational Quantization For State Space Models, by Etienne David (ip Paris et al.
Summary of Explainable Machine Learning System For Predicting Chronic Kidney Disease in High-risk Cardiovascular Patients, by Nantika Nguycharoen
Summary of Bahop: Similarity-based Basin Hopping For a Fast Hyper-parameter Search in Wsi Classification, by Jun Wang et al.
Summary of Longvq: Long Sequence Modeling with Vector Quantization on Structured Memory, by Zicheng Liu et al.
Summary of Personalized Heart Disease Detection Via Ecg Digital Twin Generation, by Yaojun Hu et al.
Summary of Deep Neural Networks Via Complex Network Theory: a Perspective, by Emanuele La Malfa et al.
Summary of Position Engineering: Boosting Large Language Models Through Positional Information Manipulation, by Zhiyuan He et al.
Summary of Exploring the Transferability Of Visual Prompting For Multimodal Large Language Models, by Yichi Zhang et al.
Summary of Analytical Results For Uncertainty Propagation Through Trained Machine Learning Regression Models, by Andrew Thompson
Summary of Ki-gan: Knowledge-informed Generative Adversarial Networks For Enhanced Multi-vehicle Trajectory Forecasting at Signalized Intersections, by Chuheng Wei et al.
Summary of Dacad: Domain Adaptation Contrastive Learning For Anomaly Detection in Multivariate Time Series, by Zahra Zamanzadeh Darban et al.
Summary of A Semantic Segmentation-guided Approach For Ground-to-aerial Image Matching, by Francesco Pro et al.
Summary of Learning From Unlabelled Data with Transformers: Domain Adaptation For Semantic Segmentation Of High Resolution Aerial Images, by Nikolaos Dionelis et al.
Summary of Use Of Parallel Explanatory Models to Enhance Transparency Of Neural Network Configurations For Cell Degradation Detection, by David Mulvey et al.
Summary of Soccernet Game State Reconstruction: End-to-end Athlete Tracking and Identification on a Minimap, by Vladimir Somers et al.
Summary of Toward Understanding the Disagreement Problem in Neural Network Feature Attribution, by Niklas Koenen and Marvin N. Wright
Summary of Calibrating Bayesian Learning Via Regularization, Confidence Minimization, and Selective Inference, by Jiayi Huang et al.
Summary of What Hides Behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning, by Zhihong Deng et al.
Summary of Group-aware Coordination Graph For Multi-agent Reinforcement Learning, by Wei Duan et al.
Summary of Leveraging 3d Lidar Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection, by Nawfal Guefrachi et al.
Summary of Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty, by Changbin Li et al.
Summary of Graph Continual Learning with Debiased Lossless Memory Replay, by Chaoxi Niu et al.
Summary of Fairssd: Understanding Bias in Synthetic Speech Detectors, by Amit Kumar Singh Yadav et al.
Summary of Function Approximation For Reinforcement Learning Controller For Energy From Spread Waves, by Soumyendu Sarkar et al.
Summary of Online Algorithms with Limited Data Retention, by Nicole Immorlica et al.
Summary of Control Theoretic Approach to Fine-tuning and Transfer Learning, by Erkan Bayram et al.
Summary of Fedfa: a Fully Asynchronous Training Paradigm For Federated Learning, by Haotian Xu et al.
Summary of Core: Data Augmentation For Link Prediction Via Information Bottleneck, by Kaiwen Dong et al.
Summary of Many-shot In-context Learning, by Rishabh Agarwal et al.
Summary of You Do Not Have to Train Graph Neural Networks at All on Text-attributed Graphs, by Kaiwen Dong et al.
Summary of Cross-platform Hate Speech Detection with Weakly Supervised Causal Disentanglement, by Paras Sheth et al.
Summary of On the Empirical Complexity Of Reasoning and Planning in Llms, by Liwei Kang et al.
Summary of Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model, by Hao Yan et al.
Summary of Stepwise Alignment For Constrained Language Model Policy Optimization, by Akifumi Wachi et al.
Summary of Supervised Contrastive Vision Transformer For Breast Histopathological Image Classification, by Mohammad Shiri et al.
Summary of Lmeraser: Large Model Unlearning Through Adaptive Prompt Tuning, by Jie Xu et al.
Summary of Scalefold: Reducing Alphafold Initial Training Time to 10 Hours, by Feiwen Zhu et al.
Summary of Efficient Conditional Diffusion Model with Probability Flow Sampling For Image Super-resolution, by Yutao Yuan et al.
Summary of Assessing the Impact Of Cnn Auto Encoder-based Image Denoising on Image Classification Tasks, by Mohsen Hami et al.
Summary of Mathwriting: a Dataset For Handwritten Mathematical Expression Recognition, by Philippe Gervais et al.
Summary of Network Architecture Search Of X-ray Based Scientific Applications, by Adarsha Balaji et al.
Summary of How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model, by Umberto Tomasini and Matthieu Wyart
Summary of Randomized Exploration in Cooperative Multi-agent Reinforcement Learning, by Hao-lun Hsu et al.
Summary of Insight Gained From Migrating a Machine Learning Model to Intelligence Processing Units, by Hieu Le et al.
Summary of Achieving Constant Regret in Linear Markov Decision Processes, by Weitong Zhang and Zhiyuan Fan and Jiafan He and Quanquan Gu
Summary of Laplace-hdc: Understanding the Geometry Of Binary Hyperdimensional Computing, by Saeid Pourmand et al.
Summary of Teng: Time-evolving Natural Gradient For Solving Pdes with Deep Neural Nets Toward Machine Precision, by Zhuo Chen et al.
Summary of Nearly Optimal Algorithms For Contextual Dueling Bandits From Adversarial Feedback, by Qiwei Di et al.
Summary of Fewer Truncations Improve Language Modeling, by Hantian Ding et al.
Summary of Geometric Neural Operators (gnps) For Data-driven Deep Learning Of Non-euclidean Operators, by Blaine Quackenbush and Paul J. Atzberger
Summary of Top-k Multi-armed Bandit Learning For Content Dissemination in Swarms Of Micro-uavs, by Amit Kumar Bhuyan et al.
Summary of Forcing Diffuse Distributions Out Of Language Models, by Yiming Zhang et al.
Summary of A Layoutlmv3-based Model For Enhanced Relation Extraction in Visually-rich Documents, by Wiam Adnan et al.
Summary of Automated Discovery Of Functional Actual Causes in Complex Environments, by Caleb Chuck et al.
Summary of Towards a Research Community in Interpretable Reinforcement Learning: the Interppol Workshop, by Hector Kohler et al.
Summary of Llmem: Estimating Gpu Memory Usage For Fine-tuning Pre-trained Llms, by Taeho Kim et al.
Summary of Personalized Federated Learning Via Stacking, by Emilio Cantu-cervini
Summary of Advancing Long-term Multi-energy Load Forecasting with Patchformer: a Patch and Transformer-based Approach, by Qiuyi Hong et al.
Summary of Toward a Realistic Benchmark For Out-of-distribution Detection, by Pietro Recalcati et al.
Summary of Bayesjudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction, by Ubaid Azam et al.
Summary of From Uncertainty to Trust: Kernel Dropout For Ai-powered Medical Predictions, by Ubaid Azam et al.
Summary of Four-hour Thunderstorm Nowcasting Using Deep Diffusion Models Of Satellite, by Kuai Dai et al.
Summary of Self-supervised Visual Preference Alignment, by Ke Zhu and Zheng Ge and Liang Zhao and Xiangyu Zhang
Summary of Cotar: Chain-of-thought Attribution Reasoning with Multi-level Granularity, by Moshe Berchansky et al.
Summary of Sevd: Synthetic Event-based Vision Dataset For Ego and Fixed Traffic Perception, by Manideep Reddy Aliminati et al.
Summary of A/b Testing Under Interference with Partial Network Information, by Shiv Shankar and Ritwik Sinha and Yash Chandak and Saayan Mitra and Madalina Fiterau
Summary of Higraphdti: Hierarchical Graph Representation Learning For Drug-target Interaction Prediction, by Bin Liu et al.
Summary of Analytical Approximation Of the Elbo Gradient in the Context Of the Clutter Problem, by Roumen Nikolaev Popov
Summary of Uncertainty-guided Open-set Source-free Unsupervised Domain Adaptation with Target-private Class Segregation, by Mattia Litrico et al.
Summary of Intra-operative Tumour Margin Evaluation in Breast-conserving Surgery with Deep Learning, by Wei-chung Shia et al.
Summary of Do Counterfactual Examples Complicate Adversarial Training?, by Eric Yeats et al.
Summary of Hlat: High-quality Large Language Model Pre-trained on Aws Trainium, by Haozheng Fan et al.
Summary of Pytorchgeonodes: Enabling Differentiable Shape Programs For 3d Shape Reconstruction, by Sinisa Stekovic et al.
Summary of Self-playing Adversarial Language Game Enhances Llm Reasoning, by Pengyu Cheng et al.
Summary of Continuous Control Reinforcement Learning: Distributed Distributional Drq Algorithms, by Zehao Zhou
Summary of Continual Offline Reinforcement Learning Via Diffusion-based Dual Generative Replay, by Jinmei Liu et al.
Summary of Driver Fatigue Prediction Using Randomly Activated Neural Networks For Smart Ridesharing Platforms, by Sree Pooja Akula et al.
Summary of Awareness Of Uncertainty in Classification Using a Multivariate Model and Multi-views, by Alexey Kornaev et al.
Summary of Hierarchical Context Merging: Better Long Context Understanding For Pre-trained Llms, by Woomin Song et al.
Summary of Application Of Deep Learning Methods to Processing Of Noisy Medical Video Data, by Danil Afonchikov et al.
Summary of Asset Management, Condition Monitoring and Digital Twins: Damage Detection and Virtual Inspection on a Reinforced Concrete Bridge, by Arnulf Hagen and Trond Michael Andersen
Summary of Graph Neural Network-based Surrogate Modelling For Real-time Hydraulic Prediction Of Urban Drainage Networks, by Zhiyu Zhang et al.
Summary of Rethinking the Graph Polynomial Filter Via Positive and Negative Coupling Analysis, by Haodong Wen et al.
Summary of Generating Counterfactual Trajectories with Latent Diffusion Models For Concept Discovery, by Payal Varshney et al.
Summary of On the Use Of Relative Validity Indices For Comparing Clustering Approaches, by Luke W. Yerbury et al.
Summary of A Survey on Data-driven Fault Diagnostic Techniques For Marine Diesel Engines, by Ayah Youssef (diapro) et al.
Summary of Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition, by Jiawen Xu
Summary of Second Edition Frcsyn Challenge at Cvpr 2024: Face Recognition Challenge in the Era Of Synthetic Data, by Ivan Deandres-tame et al.
Summary of Offline Trajectory Generalization For Offline Reinforcement Learning, by Ziqi Zhao et al.
Summary of A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy, by Dayin Chen et al.
Summary of Integration Of Self-supervised Byol in Semi-supervised Medical Image Recognition, by Hao Feng et al.
Summary of Explainable Concept Mappings Of Mri: Revealing the Mechanisms Underlying Deep Learning-based Brain Disease Classification, by Christian Tinauer et al.
Summary of Tree Bandits For Generative Bayes, by Sean O’hagan et al.