Paper List

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Summary of Learning System Dynamics Without Forgetting, by Xikun Zhang et al.
Summary of Large Language Models Struggle in Token-level Clinical Named Entity Recognition, by Qiuhao Lu et al.
Summary of Diffusion Models For Offline Multi-agent Reinforcement Learning with Safety Constraints, by Jianuo Huang
Summary of Locate&edit: Energy-based Text Editing For Efficient, Flexible, and Faithful Controlled Text Generation, by Hye Ryung Son and Jay-yoon Lee
Summary of Fast Gibbs Sampling For the Local and Global Trend Bayesian Exponential Smoothing Model, by Xueying Long et al.
Summary of Graph Neural Networks Gone Hogwild, by Olga Solodova et al.
Summary of A Bayesian Solution to the Imitation Gap, by Risto Vuorio et al.
Summary of A Two-stage Reinforcement Learning-based Approach For Multi-entity Task Allocation, by Aicheng Gong et al.
Summary of Conu: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees, by Zhiyuan Wang et al.
Summary of Intrinsic Papr For Point-level 3d Scene Albedo and Shading Editing, by Alireza Moazeni et al.
Summary of Aeroengine Performance Prediction Using a Physical-embedded Data-driven Method, by Tong Mo et al.
Summary of Shapg: New Feature Importance Method Based on the Shapley Value, by Chi Zhao et al.
Summary of Deep Frequency Derivative Learning For Non-stationary Time Series Forecasting, by Wei Fan et al.
Summary of Stochastic Stem Bucking Using Mixture Density Neural Networks, by Simon Schmiedel
Summary of Detecting and Identifying Selection Structure in Sequential Data, by Yujia Zheng et al.
Summary of Cooperative Advisory Residual Policies For Congestion Mitigation, by Aamir Hasan et al.
Summary of A Contextual Combinatorial Bandit Approach to Negotiation, by Yexin Li and Zhancun Mu and Siyuan Qi
Summary of Adversarial Online Learning with Temporal Feedback Graphs, by Khashayar Gatmiry et al.
Summary of Divide and Conquer: Learning Chaotic Dynamical Systems with Multistep Penalty Neural Ordinary Differential Equations, by Dibyajyoti Chakraborty et al.
Summary of Hyperparameter Optimization For Randomized Algorithms: a Case Study on Random Features, by Oliver R. A. Dunbar et al.
Summary of Esgnn: Towards Equivariant Scene Graph Neural Network For 3d Scene Understanding, by Quang P.m. Pham et al.
Summary of Diffusion-bbo: Diffusion-based Inverse Modeling For Online Black-box Optimization, by Dongxia Wu et al.
Summary of A Linear Programming Enhanced Genetic Algorithm For Hyperparameter Tuning in Machine Learning, by Ankur Sinha et al.
Summary of Gc-bench: An Open and Unified Benchmark For Graph Condensation, by Qingyun Sun et al.
Summary of Litesearch: Efficacious Tree Search For Llm, by Ante Wang et al.
Summary of Enhancing Accuracy and Parameter-efficiency Of Neural Representations For Network Parameterization, by Hongjun Choi et al.
Summary of Learning a Clinically-relevant Concept Bottleneck For Lesion Detection in Breast Ultrasound, by Arianna Bunnell et al.
Summary of Axiomatization Of Gradient Smoothing in Neural Networks, by Linjiang Zhou et al.
Summary of Fanfold: Graph Normalizing Flows-driven Asymmetric Network For Unsupervised Graph-level Anomaly Detection, by Rui Cao et al.
Summary of Learning Time-varying Multi-region Communications Via Scalable Markovian Gaussian Processes, by Weihan Li et al.
Summary of Puzzles: a Benchmark For Neural Algorithmic Reasoning, by Benjamin Estermann et al.
Summary of Explainability Of Machine Learning Models Under Missing Data, by Tuan L. Vo et al.
Summary of On the Complexity Of Learning to Cooperate with Populations Of Socially Rational Agents, by Robert Loftin et al.
Summary of Efontes. Part Of Speech Tagging and Lemmatization Of Medieval Latin Texts.a Cross-genre Survey, by Krzysztof Nowak et al.
Summary of Fully Tensorial Approach to Hypercomplex Neural Networks, by Agnieszka Niemczynowicz et al.
Summary of Time Series Clustering with General State Space Models Via Stochastic Variational Inference, by Ryoichi Ishizuka et al.
Summary of Khnns: Hypercomplex Neural Networks Computations Via Keras Using Tensorflow and Pytorch, by Agnieszka Niemczynowicz et al.
Summary of Perseval: Assessing Personalization in Text Summarizers, by Sourish Dasgupta et al.
Summary of Open-source Conversational Ai with Speechbrain 1.0, by Mirco Ravanelli et al.
Summary of Vcllm: Video Codecs Are Secretly Tensor Codecs, by Ceyu Xu et al.
Summary of Mh-pflgb: Model Heterogeneous Personalized Federated Learning Via Global Bypass For Medical Image Analysis, by Luyuan Xie et al.
Summary of Beyond Scaleup: Knowledge-aware Parsimony Learning From Deep Networks, by Quanming Yao and Yongqi Zhang and Yaqing Wang and Nan Yin and James Kwok and Qiang Yang
Summary of Quantifying Spuriousness Of Biased Datasets Using Partial Information Decomposition, by Barproda Halder et al.
Summary of Toward Global Convergence Of Gradient Em For Over-parameterized Gaussian Mixture Models, by Weihang Xu et al.
Summary of From Efficient Multimodal Models to World Models: a Survey, by Xinji Mai et al.
Summary of Generative Ai For Synthetic Data Across Multiple Medical Modalities: a Systematic Review Of Recent Developments and Challenges, by Mahmoud Ibrahim et al.
Summary of Efficient Long-distance Latent Relation-aware Graph Neural Network For Multi-modal Emotion Recognition in Conversations, by Yuntao Shou et al.
Summary of Automated Web-based Malaria Detection System with Machine Learning and Deep Learning Techniques, by Abraham G Taye et al.
Summary of Granite-function Calling Model: Introducing Function Calling Abilities Via Multi-task Learning Of Granular Tasks, by Ibrahim Abdelaziz et al.
Summary of Repact: the Re-parameterizable Adaptive Activation Function, by Xian Wu et al.
Summary of Multi-species Object Detection in Drone Imagery For Population Monitoring Of Endangered Animals, by Sowmya Sankaran
Summary of Towards Secure and Efficient Data Scheduling For Vehicular Social Networks, by Youhua Xia et al.
Summary of A Simple Attention-based Mechanism For Bimodal Emotion Classification, by Mazen Elabd and Sardar Jaf
Summary of Graph Neural Networks For Gut Microbiome Metaomic Data: a Preliminary Work, by Christopher Irwin et al.
Summary of Localizing Anomalies Via Multiscale Score Matching Analysis, by Ahsan Mahmood et al.
Summary of Infonce: Identifying the Gap Between Theory and Practice, by Evgenia Rusak et al.
Summary of Predicting Elevated Risk Of Hospitalization Following Emergency Department Discharges, by Dat Hong et al.
Summary of Dataset Representativeness and Downstream Task Fairness, by Victor Borza et al.
Summary of The Impact Of Model Size on Catastrophic Forgetting in Online Continual Learning, by Eunhae Lee
Summary of Methodology to Deploy Cnn-based Computer Vision Models on Immersive Wearable Devices, by Kaveh Malek (1) et al.
Summary of Tradeoffs When Considering Deep Reinforcement Learning For Contingency Management in Advanced Air Mobility, by Luis E. Alvarez and Marc W. Brittain and Steven D. Young
Summary of Closed-form Test Functions For Biophysical Sequence Optimization Algorithms, by Samuel Stanton et al.
Summary of One Prompt Is Not Enough: Automated Construction Of a Mixture-of-expert Prompts, by Ruochen Wang and Sohyun An and Minhao Cheng and Tianyi Zhou and Sung Ju Hwang and Cho-jui Hsieh
Summary of External Model Motivated Agents: Reinforcement Learning For Enhanced Environment Sampling, by Rishav Bhagat et al.
Summary of Cost-aware Bayesian Optimization Via the Pandora’s Box Gittins Index, by Qian Xie and Raul Astudillo and Peter I. Frazier and Ziv Scully and Alexander Terenin
Summary of Segment Anything Without Supervision, by Xudong Wang and Jingfeng Yang and Trevor Darrell
Summary of Token Erasure As a Footprint Of Implicit Vocabulary Items in Llms, by Sheridan Feucht et al.
Summary of Progressgym: Alignment with a Millennium Of Moral Progress, by Tianyi Qiu et al.
Summary of Scaling Synthetic Data Creation with 1,000,000,000 Personas, by Tao Ge et al.
Summary of Visual Language Model Based Cross-modal Semantic Communication Systems, by Feibo Jiang et al.
Summary of Logicbreaks: a Framework For Understanding Subversion Of Rule-based Inference, by Anton Xue et al.
Summary of Combinatorial Reasoning: Selecting Reasons in Generative Ai Pipelines Via Combinatorial Optimization, by Mert Esencan et al.
Summary of Ares: Alternating Reinforcement Learning and Supervised Fine-tuning For Enhanced Multi-modal Chain-of-thought Reasoning Through Diverse Ai Feedback, by Ju-seung Byun et al.
Summary of Enhancing In-context Learning Via Implicit Demonstration Augmentation, by Xiaoling Zhou et al.
Summary of Hybrid Approach to Parallel Stochastic Gradient Descent, by Aakash Sudhirbhai Vora and Dhrumil Chetankumar Joshi and Aksh Kantibhai Patel
Summary of Curriculum Learning with Quality-driven Data Selection, by Biao Wu et al.
Summary of Ununlearning: Unlearning Is Not Sufficient For Content Regulation in Advanced Generative Ai, by Ilia Shumailov et al.
Summary of Multiple Kronecker Rls Fusion-based Link Propagation For Drug-side Effect Prediction, by Yuqing Qian et al.
Summary of Winegraph: a Graph Representation For Food-wine Pairing, by Zuzanna Gawrysiak et al.
Summary of A Case Study on Contextual Machine Translation in a Professional Scenario Of Subtitling, by Sebastian Vincent and Charlotte Prescott and Chris Bayliss and Chris Oakley and Carolina Scarton
Summary of Accurate Prediction Of Ligand-protein Interaction Affinities with Fine-tuned Small Language Models, by Ben Fauber
Summary of Personalized Federated Continual Learning Via Multi-granularity Prompt, by Hao Yu et al.
Summary of Omnijarvis: Unified Vision-language-action Tokenization Enables Open-world Instruction Following Agents, by Zihao Wang et al.
Summary of Instance Temperature Knowledge Distillation, by Zhengbo Zhang et al.
Summary of Reinforcement Learning For Efficient Design and Control Co-optimisation Of Energy Systems, by Marine Cauz et al.
Summary of Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory, by Wenliang Zhong and Haoyu Tang and Qinghai Zheng and Mingzhu Xu and Yupeng Hu and Liqiang Nie
Summary of Mugsi: Distilling Gnns with Multi-granularity Structural Information For Graph Classification, by Tianjun Yao et al.
Summary of Operator World Models For Reinforcement Learning, by Pietro Novelli et al.
Summary of Fi-cbl: a Probabilistic Method For Concept-based Learning with Expert Rules, by Lev V. Utkin et al.
Summary of Koopman Based Trajectory Model and Computation Offloading For High Mobility Paradigm in Isac Enabled Iot System, by Minh-tuan Tran
Summary of Decoupling General and Personalized Knowledge in Federated Learning Via Additive and Low-rank Decomposition, by Xinghao Wu et al.
Summary of Kolmogorov-smirnov Gan, by Maciej Falkiewicz et al.
Summary of The Computational Curse Of Big Data For Bayesian Additive Regression Trees: a Hitting Time Analysis, by Yan Shuo Tan et al.
Summary of Stllava-med: Self-training Large Language and Vision Assistant For Medical Question-answering, by Guohao Sun and Can Qin and Huazhu Fu and Linwei Wang and Zhiqiang Tao
Summary of Scalebio: Scalable Bilevel Optimization For Llm Data Reweighting, by Rui Pan et al.
Summary of Comparative Analysis Of Lstm Neural Networks and Traditional Machine Learning Models For Predicting Diabetes Patient Readmission, by Abolfazl Zarghani
Summary of Machine Learning Predictors For Min-entropy Estimation, by Javier Blanco-romero et al.
Summary of Single Parent Family: a Spectrum Of Family Members From a Single Pre-trained Foundation Model, by Habib Hajimolahoseini et al.
Summary of Wavelets Are All You Need For Autoregressive Image Generation, by Wael Mattar et al.
Summary of On the Trade-off Between Flatness and Optimization in Distributed Learning, by Ying Cao et al.