Paper List

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Summary of Debias-clr: a Contrastive Learning Based Debiasing Method For Algorithmic Fairness in Healthcare Applications, by Ankita Agarwal et al.
Summary of Efficient Alignment Of Large Language Models Via Data Sampling, by Amrit Khera et al.
Summary of Hysteresis Activation Function For Efficient Inference, by Moshe Kimhi et al.
Summary of Fengwu-w2s: a Deep Learning Model For Seamless Weather-to-subseasonal Forecast Of Global Atmosphere, by Fenghua Ling et al.
Summary of Machine Learning Algorithms to Assess Site Closure Time Frames For Soil and Groundwater Contamination, by Vu-anh Le et al.
Summary of Embedding Byzantine Fault Tolerance Into Federated Learning Via Virtual Data-driven Consistency Scoring Plugin, by Youngjoon Lee et al.
Summary of Measuring Non-adversarial Reproduction Of Training Data in Large Language Models, by Michael Aerni et al.
Summary of Uncertainty in Supply Chain Digital Twins: a Quantum-classical Hybrid Approach, by Abdullah Abdullah et al.
Summary of Towards Sample-efficiency and Generalization Of Transfer and Inverse Reinforcement Learning: a Comprehensive Literature Review, by Hossein Hassani et al.
Summary of The Unreasonable Effectiveness Of Guidance For Diffusion Models, by Tim Kaiser et al.
Summary of Retr: Multi-view Radar Detection Transformer For Indoor Perception, by Ryoma Yataka et al.
Summary of Multidimensional Byte Pair Encoding: Shortened Sequences For Improved Visual Data Generation, by Tim Elsner et al.
Summary of On the Cost Of Model-serving Frameworks: An Experimental Evaluation, by Pasquale De Rosa et al.
Summary of Bitcoin Research with a Transaction Graph Dataset, by Hugo Schnoering and Michalis Vazirgiannis
Summary of Comparative Analysis Of Machine Learning Approaches For Bone Age Assessment: a Comprehensive Study on Three Distinct Models, by Nandavardhan R. et al.
Summary of Weakly-supervised Multimodal Learning on Mimic-cxr, by Andrea Agostini et al.
Summary of Framework For Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare, by Suraj Racha et al.
Summary of Continual Adversarial Reinforcement Learning (carl) Of False Data Injection Detection: Forgetting and Explainability, by Pooja Aslami et al.
Summary of Low-latency Task-oriented Communications with Multi-round, Multi-task Deep Learning, by Yalin E. Sagduyu et al.
Summary of Deep Learning For Micro-scale Crack Detection on Imbalanced Datasets Using Key Point Localization, by Fatahlla Moreh (christian Albrechts University et al.
Summary of Features That Make a Difference: Leveraging Gradients For Improved Dictionary Learning, by Jeffrey Olmo et al.
Summary of Multiscale Dubuc: a New Similarity Measure For Time Series, by Mahsa Khazaei et al.
Summary of Back to Supervision: Boosting Word Boundary Detection Through Frame Classification, by Simone Carnemolla et al.
Summary of Adaptive Non-uniform Timestep Sampling For Diffusion Model Training, by Myunsoo Kim et al.
Summary of Dusego: Dual Second-order Equivariant Graph Ordinary Differential Equation, by Yingxu Wang et al.
Summary of Deepmedcast: a Deep Learning Method For Generating Intermediate Weather Forecasts Among Multiple Nwp Models, by Atsushi Kudo
Summary of Efficient Depth Estimation For Unstable Stereo Camera Systems on Ar Glasses, by Yongfan Liu et al.
Summary of Microcrackattentionnext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization, by Fatahlla Moreh (christian Albrechts University et al.
Summary of Towards Utilising a Range Of Neural Activations For Comprehending Representational Associations, by Laura O’mahony et al.
Summary of Model Inversion Attacks: a Survey Of Approaches and Countermeasures, by Zhanke Zhou et al.
Summary of Jal Anveshak: Prediction Of Fishing Zones Using Fine-tuned Llama 2, by Arnav Mejari et al.
Summary of Physics-informed Neural Networks Need a Physicist to Be Accurate: the Case Of Mass and Heat Transport in Fischer-tropsch Catalyst Particles, by Tymofii Nikolaienko et al.
Summary of That Chip Has Sailed: a Critique Of Unfounded Skepticism Around Ai For Chip Design, by Anna Goldie et al.
Summary of Federated Domain Generalization Via Prompt Learning and Aggregation, by Shuai Gong et al.
Summary of Evidential Federated Learning For Skin Lesion Image Classification, by Rutger Hendrix et al.
Summary of On the Universal Statistical Consistency Of Expansive Hyperbolic Deep Convolutional Neural Networks, by Sagar Ghosh et al.
Summary of Generative Agent Simulations Of 1,000 People, by Joon Sung Park et al.
Summary of Causal Time-series Synchronization For Multi-dimensional Forecasting, by Michael Mayr et al.
Summary of A Unifying Framework For Generalised Bayesian Online Learning in Non-stationary Environments, by Gerardo Duran-martin et al.
Summary of Continuous Bayesian Model Selection For Multivariate Causal Discovery, by Anish Dhir et al.
Summary of The Surprising Ineffectiveness Of Pre-trained Visual Representations For Model-based Reinforcement Learning, by Moritz Schneider et al.
Summary of Cart: Compositional Auto-regressive Transformer For Image Generation, by Siddharth Roheda
Summary of A Low-resolution Image Is Worth 1×1 Words: Enabling Fine Image Super-resolution with Transformers and Taylorshift, by Sanath Budakegowdanadoddi Nagaraju et al.
Summary of Partial Multi-view Clustering Via Meta-learning and Contrastive Feature Alignment, by Bohao Chen
Summary of Video Denoising in Fluorescence Guided Surgery, by Trevor Seets and Andreas Velten
Summary of Modeling Human Decomposition: a Bayesian Approach, by D. Hudson Smith et al.
Summary of Fair Resource Allocation in Weakly Coupled Markov Decision Processes, by Xiaohui Tu et al.
Summary of Evaluating Loss Landscapes From a Topology Perspective, by Tiankai Xie et al.
Summary of Welqrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking, by Yunchao Liu et al.
Summary of The Good, the Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use Of Inductive Biases, by David W. Romero
Summary of Real-time Adapting Routing (rar): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models, By Kirill Vasilevski et al.
Summary of Fedrewind: Rewinding Continual Model Exchange For Decentralized Federated Learning, by Luca Palazzo et al.
Summary of Towards a Fairer Non-negative Matrix Factorization, by Lara Kassab et al.
Summary of Enhancing Diffusion Posterior Sampling For Inverse Problems by Integrating Crafted Measurements, By Shijie Zhou et al.
Summary of Kulcq: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric, by Pranav Guruprasad et al.
Summary of Fair Secretaries with Unfair Predictions, by Eric Balkanski et al.
Summary of Investesg: a Multi-agent Reinforcement Learning Benchmark For Studying Climate Investment As a Social Dilemma, by Xiaoxuan Hou et al.
Summary of Off-dynamics Reinforcement Learning Via Domain Adaptation and Reward Augmented Imitation, by Yihong Guo et al.
Summary of Is Precise Recovery Necessary? a Task-oriented Imputation Approach For Time Series Forecasting on Variable Subset, by Qi Hao et al.
Summary of Statistical Analysis Of Policy Space Compression Problem, by Majid Molaei et al.
Summary of Physics-informed Machine Learning For Battery Pack Thermal Management, by Zheng Liu et al.
Summary of Instruction-guided Editing Controls For Images and Multimedia: a Survey in Llm Era, by Thanh Tam Nguyen and Zhao Ren and Trinh Pham and Thanh Trung Huynh and Phi Le Nguyen and Hongzhi Yin and Quoc Viet Hung Nguyen
Summary of Dense Relu Neural Networks For Temporal-spatial Model, by Zhi Zhang et al.
Summary of Communication Compression For Tensor Parallel Llm Inference, by Jan Hansen-palmus et al.
Summary of What Makes a Good Bim Design: Quantitative Linking Between Design Behavior and Quality, by Xiang-rui Ni et al.
Summary of Prompting the Unseen: Detecting Hidden Backdoors in Black-box Models, by Zi-xuan Huang et al.
Summary of Adaptive Deviation Learning For Visual Anomaly Detection with Data Contamination, by Anindya Sundar Das et al.
Summary of Handling Missing Values in Clinical Machine Learning: Insights From An Expert Study, by Lena Stempfle et al.
Summary of Llama-mesh: Unifying 3d Mesh Generation with Language Models, by Zhengyi Wang et al.
Summary of The Moral Foundations Weibo Corpus, by Renjie Cao et al.
Summary of Counterfactual Uncertainty Quantification Of Factual Estimand Of Efficacy From Before-and-after Treatment Repeated Measures Randomized Controlled Trials, by Xingya Wang et al.
Summary of Med-bot: An Ai-powered Assistant to Provide Accurate and Reliable Medical Information, by Ahan Bhatt et al.
Summary of Mcce: Missingness-aware Causal Concept Explainer, by Jifan Gao et al.
Summary of On the Limits Of Language Generation: Trade-offs Between Hallucination and Mode Collapse, by Alkis Kalavasis et al.
Summary of On the Surprising Effectiveness Of Attention Transfer For Vision Transformers, by Alexander C. Li et al.
Summary of Conditional Regression For the Nonlinear Single-variable Model, by Yantao Wu et al.
Summary of Neuraldem — Real-time Simulation Of Industrial Particulate Flows, by Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter
Summary of Iterative Batch Reinforcement Learning Via Safe Diversified Model-based Policy Search, by Amna Najib et al.
Summary of Physics-informed Neural Networks (pinns) For Numerical Model Error Approximation and Superresolution, by Bozhou Zhuang et al.
Summary of Suremap: Simultaneous Mean Estimation For Single-task and Multi-task Disaggregated Evaluation, by Mikhail Khodak et al.
Summary of To Bootstrap or to Rollout? An Optimal and Adaptive Interpolation, by Wenlong Mou and Jian Qian
Summary of Modeling Adagrad, Rmsprop, and Adam with Integro-differential Equations, by Carlos Heredia
Summary of Adversarial Attacks Using Differentiable Rendering: a Survey, by Matthew Hull et al.
Summary of Rethinking Weight-averaged Model-merging, by Hu Wang et al.
Summary of A Centralized-distributed Transfer Model For Cross-domain Recommendation Based on Multi-source Heterogeneous Transfer Learning, by Ke Xu et al.
Summary of How Good Is Chatgpt at Audiovisual Deepfake Detection: a Comparative Study Of Chatgpt, Ai Models and Human Perception, by Sahibzada Adil Shahzad et al.
Summary of Compression Method For Solar Polarization Spectra Collected From Hinode Sot/sp Observations, by Jargalmaa Batmunkh et al.
Summary of Approximate Probabilistic Inference For Time-series Data a Robust Latent Gaussian Model with Temporal Awareness, by Anton Johansson et al.
Summary of Pie: Pooling Cpu Memory For Llm Inference, by Yi Xu et al.
Summary of Approximated Variational Bayesian Inverse Reinforcement Learning For Large Language Model Alignment, by Yuang Cai et al.
Summary of Time-to-event Pretraining For 3d Medical Imaging, by Zepeng Huo et al.
Summary of Stability and Generalization For Distributed Sgda, by Miaoxi Zhu et al.
Summary of A Survey Of Probabilistic Generative Frameworks For Molecular Simulations, by Richard John et al.
Summary of Inherently Interpretable and Uncertainty-aware Models For Online Learning in Cyber-security Problems, by Benjamin Kolicic et al.
Summary of Sag-vit: a Scale-aware, High-fidelity Patching Approach with Graph Attention For Vision Transformers, by Shravan Venkatraman et al.
Summary of Long-tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction, by Chen-long Duan et al.
Summary of Mediffusion: Joint Diffusion For Self-explainable Semi-supervised Classification and Medical Image Generation, by Joanna Kaleta et al.
Summary of Caravan Multimet: Extending Caravan with Multiple Weather Nowcasts and Forecasts, by Guy Shalev et al.
Summary of Harnessing Machine Learning For Single-shot Measurement Of Free Electron Laser Pulse Power, by Till Korten (1) and Vladimir Rybnikov (2) and Mathias Vogt (2) and Juliane Roensch-schulenburg (2) and Peter Steinbach (1) and Najmeh Mirian (1) ((1) Helmholtz-zentrum Dresden-rossendorf Hzdr et al.
Summary of Renal Cell Carcinoma Subtyping: Learning From Multi-resolution Localization, by Mohamad Mohamad et al.