Paper List

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Summary of Fedimpro: Measuring and Improving Client Update in Federated Learning, by Zhenheng Tang et al.
Summary of Realm: Rag-driven Enhancement Of Multimodal Electronic Health Records Analysis Via Large Language Models, by Yinghao Zhu et al.
Summary of Gemini Goes to Med School: Exploring the Capabilities Of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations, by Ankit Pal et al.
Summary of Corruption Robust Offline Reinforcement Learning with Human Feedback, by Debmalya Mandal et al.
Summary of Exgrg: Explicitly-generated Relation Graph For Self-supervised Representation Learning, by Mahdi Naseri et al.
Summary of Convergence Of Gradient Descent with Small Initialization For Unregularized Matrix Completion, by Jianhao Ma et al.
Summary of Low-rank Learning by Design: the Role Of Network Architecture and Activation Linearity in Gradient Rank Collapse, By Bradley T. Baker et al.
Summary of Embedding Compression For Teacher-to-student Knowledge Transfer, by Yiwei Ding and Alexander Lerch
Summary of Generative Nowcasting Of Marine Fog Visibility in the Grand Banks Area and Sable Island in Canada, by Eren Gultepe et al.
Summary of Transfer Learning with Generative Models For Object Detection on Limited Datasets, by Matteo Paiano et al.
Summary of Explain Variance Of Prediction in Variational Time Series Models For Clinical Deterioration Prediction, by Jiacheng Liu and Jaideep Srivastava
Summary of A Kalman Filter Based Framework For Monitoring the Performance Of In-hospital Mortality Prediction Models Over Time, by Jiacheng Liu et al.
Summary of Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models, by Tiago Mendes-neves et al.
Summary of Monitored Markov Decision Processes, by Simone Parisi et al.
Summary of Forecasting Events in Soccer Matches Through Language, by Tiago Mendes-neves et al.
Summary of Gyroscope-assisted Motion Deblurring Network, by Simin Luan et al.
Summary of For Better or For Worse? Learning Minimum Variance Features with Label Augmentation, by Muthu Chidambaram and Rong Ge
Summary of Lirank: Industrial Large Scale Ranking Models at Linkedin, by Fedor Borisyuk et al.
Summary of Discriminative Adversarial Unlearning, by Rohan Sharma et al.
Summary of Low-rank Approximation Of Structural Redundancy For Self-supervised Learning, by Kang Du and Yu Xiang
Summary of Principled Penalty-based Methods For Bilevel Reinforcement Learning and Rlhf, by Han Shen et al.
Summary of Understanding Test-time Augmentation, by Masanari Kimura
Summary of Gentranslate: Large Language Models Are Generative Multilingual Speech and Machine Translators, by Yuchen Hu et al.
Summary of Predictive Representations: Building Blocks Of Intelligence, by Wilka Carvalho et al.
Summary of More Than the Sum Of Its Parts: Ensembling Backbone Networks For Few-shot Segmentation, by Nico Catalano et al.
Summary of Rqp-sgd: Differential Private Machine Learning Through Noisy Sgd and Randomized Quantization, by Ce Feng et al.
Summary of Feedback Loops with Language Models Drive In-context Reward Hacking, by Alexander Pan and Erik Jones and Meena Jagadeesan and Jacob Steinhardt
Summary of The Complexity Of Sequential Prediction in Dynamical Systems, by Vinod Raman et al.
Summary of Socrasynth: Multi-llm Reasoning with Conditional Statistics, by Edward Y. Chang
Summary of Using Remotely Sensed Data For Air Pollution Assessment, by Teresa Bernardino et al.
Summary of Sign Rank Limitations For Inner Product Graph Decoders, by Su Hyeong Lee and Qingqi Zhang and Risi Kondor
Summary of The Essential Role Of Causality in Foundation World Models For Embodied Ai, by Tarun Gupta et al.
Summary of A Masked Language Model For Multi-source Ehr Trajectories Contextual Representation Learning, by Ali Amirahmadi (1) et al.
Summary of Comparison Of Machine Learning and Statistical Approaches For Digital Elevation Model (dem) Correction: Interim Results, by Chukwuma Okolie et al.
Summary of Scaling Intelligent Agents in Combat Simulations For Wargaming, by Scotty Black et al.
Summary of Integrating Llms For Explainable Fault Diagnosis in Complex Systems, by Akshay J. Dave et al.
Summary of Fl-nas: Towards Fairness Of Nas For Resource Constrained Devices Via Large Language Models, by Ruiyang Qin et al.
Summary of Feed-forward Neural Networks As a Mixed-integer Program, by Navid Aftabi and Nima Moradi and Fatemeh Mahroo
Summary of Entropy-regularized Token-level Policy Optimization For Language Agent Reinforcement, by Muning Wen et al.
Summary of Multi-class Real-time Crash Risk Forecasting Using Convolutional Neural Network: Istanbul Case Study, by Behnaz Alafi et al.
Summary of Electricity Price Forecasting in the Irish Balancing Market, by Ciaran O’connor and Joseph Collins and Steven Prestwich and Andrea Visentin
Summary of Dynamic Graph Information Bottleneck, by Haonan Yuan et al.
Summary of Nice: to Optimize In-context Examples or Not?, by Pragya Srivastava et al.
Summary of On Differentially Private Subspace Estimation in a Distribution-free Setting, by Eliad Tsfadia
Summary of Scalable Interactive Machine Learning For Future Command and Control, by Anna Madison et al.
Summary of Acter: Diverse and Actionable Counterfactual Sequences For Explaining and Diagnosing Rl Policies, by Jasmina Gajcin and Ivana Dusparic
Summary of Deep Learning-based Auto-segmentation Of Planning Target Volume For Total Marrow and Lymph Node Irradiation, by Ricardo Coimbra Brioso et al.
Summary of Multimodal Clinical Trial Outcome Prediction with Large Language Models, by Wenhao Zheng et al.
Summary of Classifying Point Clouds at the Facade-level Using Geometric Features and Deep Learning Networks, by Yue Tan et al.
Summary of Reconstructing Facade Details Using Mls Point Clouds and Bag-of-words Approach, by Thomas Froech et al.
Summary of Flexible Infinite-width Graph Convolutional Networks and the Importance Of Representation Learning, by Ben Anson et al.
Summary of Introspective Planning: Aligning Robots’ Uncertainty with Inherent Task Ambiguity, by Kaiqu Liang et al.
Summary of Refining Myocardial Infarction Detection: a Novel Multi-modal Composite Kernel Strategy in One-class Classification, by Muhammad Uzair Zahid et al.
Summary of Transferring Facade Labels Between Point Clouds with Semantic Octrees While Considering Change Detection, by Sophia Schwarz et al.
Summary of Calibrating Long-form Generations From Large Language Models, by Yukun Huang et al.
Summary of Generative Adversarial Model-based Optimization Via Source Critic Regularization, by Michael S. Yao et al.
Summary of Deceptive Path Planning Via Reinforcement Learning with Graph Neural Networks, by Michael Y. Fatemi and Wesley A. Suttle and Brian M. Sadler
Summary of Diffusion-es: Gradient-free Planning with Diffusion For Autonomous Driving and Zero-shot Instruction Following, by Brian Yang et al.
Summary of Video Annotator: a Framework For Efficiently Building Video Classifiers Using Vision-language Models and Active Learning, by Amir Ziai et al.
Summary of What Is Hiding in Medicine’s Dark Matter? Learning with Missing Data in Medical Practices, by Neslihan Suzen et al.
Summary of Distilling Morphology-conditioned Hypernetworks For Efficient Universal Morphology Control, by Zheng Xiong et al.
Summary of On the Universality Of Volume-preserving and Coupling-based Normalizing Flows, by Felix Draxler et al.
Summary of Sae: Single Architecture Ensemble Neural Networks, by Martin Ferianc et al.
Summary of Particle Denoising Diffusion Sampler, by Angus Phillips et al.
Summary of How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers, by Gon Buzaglo et al.
Summary of Prompt Learning on Temporal Interaction Graphs, by Xi Chen et al.
Summary of Taking Class Imbalance Into Account in Open Set Recognition Evaluation, by Joanna Komorniczak and Pawel Ksieniewicz
Summary of Continual Learning on Graphs: a Survey, by Zonggui Tian et al.
Summary of Fairness Of Exposure in Online Restless Multi-armed Bandits, by Archit Sood et al.
Summary of Tee4ehr: Transformer Event Encoder For Better Representation Learning in Electronic Health Records, by Hojjat Karami et al.
Summary of High-precision Geosteering Via Reinforcement Learning and Particle Filters, by Ressi Bonti Muhammad et al.
Summary of Optimal Estimation Of Gaussian (poly)trees, by Yuhao Wang et al.
Summary of Convergence Of a L2 Regularized Policy Gradient Algorithm For the Multi Armed Bandit, by Stefana Anita and Gabriel Turinici
Summary of Boosting-based Sequential Meta-tree Ensemble Construction For Improved Decision Trees, by Ryota Maniwa et al.
Summary of Hierarchical Transformers Are Efficient Meta-reinforcement Learners, by Gresa Shala et al.
Summary of Trust the Process: Zero-knowledge Machine Learning to Enhance Trust in Generative Ai Interactions, by Bianca-mihaela Ganescu et al.
Summary of Where Is the Truth? the Risk Of Getting Confounded in a Continual World, by Florian Peter Busch et al.
Summary of Incorporating Taylor Series and Recursive Structure in Neural Networks For Time Series Prediction, by Jarrod Mau and Kevin Moon
Summary of The Deep Equilibrium Algorithmic Reasoner, by Dobrik Georgiev et al.
Summary of V-star: Training Verifiers For Self-taught Reasoners, by Arian Hosseini et al.
Summary of An Algorithmic Framework For Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process, By Keito Tajima et al.
Summary of Sequential Flow Straightening For Generative Modeling, by Jongmin Yoon et al.
Summary of Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings, By Yichen Jiang et al.
Summary of Wasserstein Proximal Operators Describe Score-based Generative Models and Resolve Memorization, by Benjamin J. Zhang et al.
Summary of Potec: Off-policy Learning For Large Action Spaces Via Two-stage Policy Decomposition, by Yuta Saito et al.
Summary of Learning Contrastive Feature Representations For Facial Action Unit Detection, by Ziqiao Shang et al.
Summary of Pushing Boundaries: Mixup’s Influence on Neural Collapse, by Quinn Fisher et al.
Summary of The Boundary Of Neural Network Trainability Is Fractal, by Jascha Sohl-dickstein
Summary of Smc Is All You Need: Parallel Strong Scaling, by Xinzhu Liang et al.
Summary of Development and Validation Of An Artificial Intelligence Model to Accurately Predict Spinopelvic Parameters, by Edward S. Harake et al.
Summary of Premier-taco Is a Few-shot Policy Learner: Pretraining Multitask Representation Via Temporal Action-driven Contrastive Loss, by Ruijie Zheng et al.
Summary of A Self-supervised Framework For Learning Whole Slide Representations, by Xinhai Hou et al.
Summary of Masked Logonet: Fast and Accurate 3d Image Analysis For Medical Domain, by Amin Karimi Monsefi et al.
Summary of The Berkeley Single Cell Computational Microscopy (bsccm) Dataset, by Henry Pinkard et al.
Summary of Revealing Multimodal Contrastive Representation Learning Through Latent Partial Causal Models, by Yuhang Liu et al.
Summary of Fight Back Against Jailbreaking Via Prompt Adversarial Tuning, by Yichuan Mo et al.
Summary of Value Function Interference and Greedy Action Selection in Value-based Multi-objective Reinforcement Learning, by Peter Vamplew et al.
Summary of Yamle: Yet Another Machine Learning Environment, by Martin Ferianc et al.
Summary of Safe Active Learning For Time-series Modeling with Gaussian Processes, by Christoph Zimmer et al.
Summary of Ai, Meet Human: Learning Paradigms For Hybrid Decision Making Systems, by Clara Punzi et al.