Paper List

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Summary of Entropy Regularized Task Representation Learning For Offline Meta-reinforcement Learning, by Mohammadreza Nakhaei et al.
Summary of Ai-powered Intracranial Hemorrhage Detection: a Co-scale Convolutional Attention Model with Uncertainty-based Fuzzy Integral Operator and Feature Screening, by Mehdi Hosseini Chagahi et al.
Summary of Corn Ear Detection and Orientation Estimation Using Deep Learning, by Nathan Sprague et al.
Summary of Statistical Undersampling with Mutual Information and Support Points, by Alex Mak et al.
Summary of Downscaling Precipitation with Bias-informed Conditional Diffusion Model, by Ran Lyu (1) et al.
Summary of Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting, by Arash Peik et al.
Summary of St-rep: Learning Predictive Representations Efficiently For Spatial-temporal Forecasting, by Qi Zheng et al.
Summary of Transformer Models Are Gauge Invariant: a Mathematical Connection Between Ai and Particle Physics, by Leo Van Nierop
Summary of Summary Of Point Transformer with Federated Learning For Predicting Breast Cancer Her2 Status From Hematoxylin and Eosin-stained Whole Slide Images, by Kamorudeen A. Amuda et al.
Summary of Single-loop Federated Actor-critic Across Heterogeneous Environments, by Ye Zhu and Xiaowen Gong
Summary of Gbrip: Granular Ball Representation For Imbalanced Partial Label Learning, by Jintao Huang et al.
Summary of Scamo: Exploring the Scaling Law in Autoregressive Motion Generation Model, by Shunlin Lu et al.
Summary of Global Spatio-temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware, by Chaoqun Liu et al.
Summary of Mixllm: Llm Quantization with Global Mixed-precision Between Output-features and Highly-efficient System Design, by Zhen Zheng et al.
Summary of Multi-sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties, by Wenqiao Li et al.
Summary of Ldp: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining, By Huawen Shen et al.
Summary of Towards Scalable and Deep Graph Neural Networks Via Noise Masking, by Yuxuan Liang et al.
Summary of Continuous Latent Representations For Modeling Precipitation with Deep Learning, by Gokul Radhakrishnan et al.
Summary of Pitfalls Of Topology-aware Image Segmentation, by Alexander H. Berger et al.
Summary of Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-attention For Fine-grained Few-shot Learning, by Eric Brouwer et al.
Summary of Robust Pca Based on Adaptive Weighted Least Squares and Low-rank Matrix Factorization, by Kexin Li et al.
Summary of Trainable Adaptive Activation Function Structure (taafs) Enhances Neural Network Force Field Performance with Only Dozens Of Additional Parameters, by Enji Li
Summary of Lolafl: Low-latency Federated Learning Via Forward-only Propagation, by Jierui Zhang et al.
Summary of Drivegpt: Scaling Autoregressive Behavior Models For Driving, by Xin Huang et al.
Summary of An Immersive Multi-elevation Multi-seasonal Dataset For 3d Reconstruction and Visualization, by Xijun Liu et al.
Summary of Enhancing Diffusion Models For High-quality Image Generation, by Jaineet Shah et al.
Summary of Fedpia — Permuting and Integrating Adapters Leveraging Wasserstein Barycenters For Finetuning Foundation Models in Multi-modal Federated Learning, by Pramit Saha et al.
Summary of Wildsat: Learning Satellite Image Representations From Wildlife Observations, by Rangel Daroya et al.
Summary of Genhmr: Generative Human Mesh Recovery, by Muhammad Usama Saleem et al.
Summary of Cherry-picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine, by Luis Roque et al.
Summary of Balanced Gradient Sample Retrieval For Enhanced Knowledge Retention in Proxy-based Continual Learning, by Hongye Xu et al.
Summary of Vlm-ad: End-to-end Autonomous Driving Through Vision-language Model Supervision, by Yi Xu et al.
Summary of Cldg: Contrastive Learning on Dynamic Graphs, by Yiming Xu et al.
Summary of Multimodal Latent Diffusion Model For Complex Sewing Pattern Generation, by Shengqi Liu et al.
Summary of Hashattention: Semantic Sparsity For Faster Inference, by Aditya Desai et al.
Summary of Benign Overfitting in Out-of-distribution Generalization Of Linear Models, by Shange Tang et al.
Summary of Graph Topic Modeling For Documents with Spatial or Covariate Dependencies, by Yeo Jin Jung et al.
Summary of Faultexplainer: Leveraging Large Language Models For Interpretable Fault Detection and Diagnosis, by Abdullah Khan et al.
Summary of Disentangled Graph Autoencoder For Treatment Effect Estimation, by Di Fan et al.
Summary of A Hybrid Framework For Effective and Efficient Machine Unlearning, by Mingxin Li et al.
Summary of Cwa-t: a Channelwise Autoencoder with Transformer For Eeg Abnormality Detection, by Youshen Zhao et al.
Summary of Cal-dpo: Calibrated Direct Preference Optimization For Language Model Alignment, by Teng Xiao et al.
Summary of Knowledge Distillation in Rnn-attention Models For Early Prediction Of Student Performance, by Sukrit Leelaluk et al.
Summary of Heterogeneous Multi-agent Reinforcement Learning For Distributed Channel Access in Wlans, by Jiaming Yu et al.
Summary of A Survey on Large Language Model-based Agents For Statistics and Data Science, by Maojun Sun et al.
Summary of A Survey on Inference Optimization Techniques For Mixture Of Experts Models, by Jiacheng Liu et al.
Summary of Towards Precise Prediction Uncertainty in Gnns: Refining Gnns with Topology-grouping Strategy, by Hyunjin Seo et al.
Summary of Split Learning in Computer Vision For Semantic Segmentation Delay Minimization, by Nikos G. Evgenidis et al.
Summary of Fedstas: Client Stratification and Client Level Sampling For Efficient Federated Learning, by Jordan Slessor et al.
Summary of Temporally Consistent Object-centric Learning by Contrasting Slots, By Anna Manasyan et al.
Summary of Distributionally Robust Policy Learning Under Concept Drifts, by Jingyuan Wang et al.
Summary of The Multiplex Classification Framework: Optimizing Multi-label Classifiers Through Problem Transformation, Ontology Engineering, and Model Ensembling, by Mauro Nievas Offidani et al.
Summary of What Has Been Overlooked in Contrastive Source-free Domain Adaptation: Leveraging Source-informed Latent Augmentation Within Neighborhood Context, by Jing Wang et al.
Summary of Covariances For Free: Exploiting Mean Distributions For Federated Learning with Pre-trained Models, by Dipam Goswami et al.
Summary of On the Robustness Of Spectral Algorithms For Semirandom Stochastic Block Models, by Aditya Bhaskara et al.
Summary of Stealing That Free Lunch: Exposing the Limits Of Dyna-style Reinforcement Learning, by Brett Barkley and David Fridovich-keil
Summary of Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference, by Matthew Riemer et al.
Summary of A Unifying Information-theoretic Perspective on Evaluating Generative Models, by Alexis Fox et al.
Summary of Resq: Mixed-precision Quantization Of Large Language Models with Low-rank Residuals, by Utkarsh Saxena et al.
Summary of Serep: Semantic Facial Expression Representation For Robust In-the-wild Capture and Retargeting, by Arthur Josi et al.
Summary of Balans: Multi-armed Bandits-based Adaptive Large Neighborhood Search For Mixed-integer Programming Problem, by Junyang Cai et al.
Summary of Multi-task Representation Learning For Mixed Integer Linear Programming, by Junyang Cai et al.
Summary of I0t: Embedding Standardization Method Towards Zero Modality Gap, by Na Min An et al.
Summary of Rag For Effective Supply Chain Security Questionnaire Automation, by Zaynab Batool Reza et al.
Summary of Few-shot Steerable Alignment: Adapting Rewards and Llm Policies with Neural Processes, by Katarzyna Kobalczyk et al.
Summary of Landscape Of Ai Safety Concerns — a Methodology to Support Safety Assurance For Ai-based Autonomous Systems, by Ronald Schnitzer et al.
Summary of Hansel: Output Length Controlling Framework For Large Language Models, by Seoha Song et al.
Summary of Evidential Deep Learning For Probabilistic Modelling Of Extreme Storm Events, by Ayush Khot et al.
Summary of Neural Combinatorial Optimization For Stochastic Flexible Job Shop Scheduling Problems, by Igor G. Smit et al.
Summary of A Review Of Multimodal Explainable Artificial Intelligence: Past, Present and Future, by Shilin Sun et al.
Summary of Online Mdp with Transition Prototypes: a Robust Adaptive Approach, by Shuo Sun et al.
Summary of Alignment Faking in Large Language Models, by Ryan Greenblatt et al.
Summary of Future Research Avenues For Artificial Intelligence in Digital Gaming: An Exploratory Report, by Markus Dablander
Summary of Adaptive Concept Bottleneck For Foundation Models Under Distribution Shifts, by Jihye Choi et al.
Summary of Machine Learning Co-pilot For Screening Of Organic Molecular Additives For Perovskite Solar Cells, by Yang Pu et al.
Summary of Trustworthy Transfer Learning: a Survey, by Jun Wu and Jingrui He
Summary of Jinns: a Jax Library For Physics-informed Neural Networks, by Hugo Gangloff et al.
Summary of On Calibration in Multi-distribution Learning, by Rajeev Verma et al.
Summary of Scaling Of Search and Learning: a Roadmap to Reproduce O1 From Reinforcement Learning Perspective, by Zhiyuan Zeng et al.
Summary of Videodpo: Omni-preference Alignment For Video Diffusion Generation, by Runtao Liu et al.
Summary of E-car: Efficient Continuous Autoregressive Image Generation Via Multistage Modeling, by Zhihang Yuan et al.
Summary of Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with Vehiclepaligemma, by Nouar Aldahoul et al.
Summary of Improving Generalization Performance Of Yolov8 For Camera Trap Object Detection, by Aroj Subedi
Summary of A Concept-centric Approach to Multi-modality Learning, by Yuchong Geng et al.
Summary of Do Language Models Understand Time?, by Xi Ding and Lei Wang
Summary of Radfield3d: a Data Generator and Data Format For Deep Learning in Radiation-protection Dosimetry For Medical Applications, by Felix Lehner et al.
Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.
Summary of Ideq: An Improved Diffusion Model For the Tsp, by Mickael Basson et al.
Summary of Domain-adaptative Continual Learning For Low-resource Tasks: Evaluation on Nepali, by Sharad Duwal et al.
Summary of Constructing Sensible Baselines For Integrated Gradients, by Jai Bardhan et al.
Summary of Shap Scores Fail Pervasively Even When Lipschitz Succeeds, by Olivier Letoffe et al.
Summary of Data-efficient Inference Of Neural Fluid Fields Via Sciml Foundation Model, by Yuqiu Liu et al.
Summary of Threshold Neuron: a Brain-inspired Artificial Neuron For Efficient On-device Inference, by Zihao Zheng et al.
Summary of Pipeline Analysis For Developing Instruct Llms in Low-resource Languages: a Case Study on Basque, by Ander Corral and Ixak Sarasua and Xabier Saralegi
Summary of Graph-driven Models For Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals, by Ding Wang et al.
Summary of Language Very Rare For All, by Ibrahim Merad et al.
Summary of Preconditioned Subspace Langevin Monte Carlo, by Tyler Maunu and Jiayi Yao
Summary of Spatio-temporal Forecasting Of Pm2.5 Via Spatial-diffusion Guided Encoder-decoder Architecture, by Malay Pandey et al.
Summary of On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process, by Gereziher Adhane and Mohammad Mahdi Dehshibi and Dennis Vetter and David Masip and Gemma Roig
Summary of Prompting Strategies For Enabling Large Language Models to Infer Causation From Correlation, by Eleni Sgouritsa et al.