Paper List

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Summary of Applying Llm and Topic Modelling in Psychotherapeutic Contexts, by Alexander Vanin et al.
Summary of Diving Into Self-evolving Training For Multimodal Reasoning, by Wei Liu et al.
Summary of Learning From Summarized Data: Gaussian Process Regression with Sample Quasi-likelihood, by Yuta Shikuri
Summary of Deepmf: Deep Motion Factorization For Closed-loop Safety-critical Driving Scenario Simulation, by Yizhe Li et al.
Summary of Line Graph Vietoris-rips Persistence Diagram For Topological Graph Representation Learning, by Jaesun Shin et al.
Summary of Improving the Noise Estimation Of Latent Neural Stochastic Differential Equations, by Linus Heck et al.
Summary of Constructing Fair Latent Space For Intersection Of Fairness and Explainability, by Hyungjun Joo et al.
Summary of Splitfedzip: Learned Compression For Data Transfer Reduction in Split-federated Learning, by Chamani Shiranthika et al.
Summary of Unifying Feature-based Explanations with Functional Anova and Cooperative Game Theory, by Fabian Fumagalli et al.
Summary of Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models with Flow Matching, by Enshu Liu et al.
Summary of Generative Diffusion Modeling: a Practical Handbook, by Zihan Ding et al.
Summary of The Potential Of Convolutional Neural Networks For Cancer Detection, by Hossein Molaeian et al.
Summary of Where Did Your Model Learn That? Label-free Influence For Self-supervised Learning, by Nidhin Harilal et al.
Summary of Enhancing Item Tokenization For Generative Recommendation Through Self-improvement, by Runjin Chen et al.
Summary of Wpmixer: Efficient Multi-resolution Mixing For Long-term Time Series Forecasting, by Md Mahmuddun Nabi Murad et al.
Summary of Hierarchically Gated Experts For Efficient Online Continual Learning, by Kevin Luong and Michael Thielscher
Summary of Foundation Model For Lossy Compression Of Spatiotemporal Scientific Data, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Summary of Matchminer-ai: An Open-source Solution For Cancer Clinical Trial Matching, by Ethan Cerami et al.
Summary of Brain-to-text Benchmark ’24: Lessons Learned, by Francis R. Willett et al.
Summary of Fedmeld: a Model-dispersal Federated Learning Framework For Space-ground Integrated Networks, by Qian Chen et al.
Summary of A Coalition Game For On-demand Multi-modal 3d Automated Delivery System, by Farzan Moosavi and Bilal Farooq
Summary of Gcs-m3vlt: Guided Context Self-attention Based Multi-modal Medical Vision Language Transformer For Retinal Image Captioning, by Teja Krishna Cherukuri et al.
Summary of Enhancing Multi-text Long Video Generation Consistency Without Tuning: Time-frequency Analysis, Prompt Alignment, and Theory, by Xingyao Li et al.
Summary of B-star: Monitoring and Balancing Exploration and Exploitation in Self-taught Reasoners, by Weihao Zeng et al.
Summary of An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in Ct Scans Via Neurosymbolic Modeling, by Blanca Inigo et al.
Summary of Multi-view Fuzzy Graph Attention Networks For Enhanced Graph Learning, by Jinming Xing et al.
Summary of Enabling Time-series Foundation Model For Building Energy Forecasting Via Contrastive Curriculum Learning, by Rui Liang et al.
Summary of Online Preference-based Reinforcement Learning with Self-augmented Feedback From Large Language Model, by Songjun Tu et al.
Summary of Integrating Random Effects in Variational Autoencoders For Dimensionality Reduction Of Correlated Data, by Giora Simchoni et al.
Summary of Learning to Generate Gradients For Test-time Adaptation Via Test-time Training Layers, by Qi Deng et al.
Summary of Revisiting In-context Learning with Long Context Language Models, by Jinheon Baek et al.
Summary of Fedcross: Intertemporal Federated Learning Under Evolutionary Games, by Jianfeng Lu et al.
Summary of Solving Nonlinear Energy Supply and Demand System Using Physics-informed Neural Networks, by Van Truong Vo et al.
Summary of Data Value Estimation on Private Gradients, by Zijian Zhou et al.
Summary of Generate to Discriminate: Expert Routing For Continual Learning, by Yewon Byun et al.
Summary of Hypernet Fields: Efficiently Training Hypernetworks Without Ground Truth by Learning Weight Trajectories, By Eric Hedlin et al.
Summary of An Openmind For 3d Medical Vision Self-supervised Learning, by Tassilo Wald and Constantin Ulrich and Jonathan Suprijadi and Michal Nohel and Robin Peretzke and Klaus H. Maier-hein
Summary of The Hallurag Dataset: Detecting Closed-domain Hallucinations in Rag Applications Using An Llm’s Internal States, by Fabian Ridder and Malte Schilling
Summary of Interactive Classification Metrics: a Graphical Application to Build Robust Intuition For Classification Model Evaluation, by David H. Brown et al.
Summary of Dr-encoder: Encode Low-rank Gradients with Random Prior For Large Language Models Differentially Privately, by Huiwen Wu et al.
Summary of Optimizing Data Curation Through Spectral Analysis and Joint Batch Selection (saln), by Mohammadreza Sharifi
Summary of Grams: Gradient Descent with Adaptive Momentum Scaling, by Yang Cao et al.
Summary of Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-generated Images, by Dennis Menn et al.
Summary of Adam on Local Time: Addressing Nonstationarity in Rl with Relative Adam Timesteps, by Benjamin Ellis et al.
Summary of Fair and Accurate Regression: Strong Formulations and Algorithms, by Anna Deza et al.
Summary of Fairness in Reinforcement Learning with Bisimulation Metrics, by Sahand Rezaei-shoshtari et al.
Summary of Empirical Evaluation Of Normalizing Flows in Markov Chain Monte Carlo, by David Nabergoj et al.
Summary of Solving Inverse Problems Via Diffusion Optimal Control, by Henry Li et al.
Summary of Coupling Neural Networks and Physics Equations For Li-ion Battery State-of-charge Prediction, by Giovanni Pollo et al.
Summary of A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits, by Elham Musaaed et al.
Summary of Paraformer: Parameterization Of Sub-grid Scale Processes Using Transformers, by Shuochen Wang et al.
Summary of Does Calibration Mean What They Say It Means; Or, the Reference Class Problem Rises Again, by Lily Hu
Summary of Fast Multi-group Gaussian Process Factor Models, by Evren Gokcen et al.
Summary of Dmesh++: An Efficient Differentiable Mesh For Complex Shapes, by Sanghyun Son et al.
Summary of Hyperclip: Adapting Vision-language Models with Hypernetworks, by Victor Akinwande et al.
Summary of Fed-zoe: Communication-efficient Over-the-air Federated Learning Via Zeroth-order Estimation, by Jonggyu Jang et al.
Summary of Symplectic Neural Flows For Modeling and Discovery, by Priscilla Canizares et al.
Summary of Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification, by Changchang Sun and Ren Wang and Yihua Zhang and Jinghan Jia and Jiancheng Liu and Gaowen Liu and Yan Yan and Sijia Liu
Summary of Gradient-based Non-linear Inverse Learning, by Abhishake et al.
Summary of Balls-and-bins Sampling For Dp-sgd, by Lynn Chua et al.
Summary of Unsupervised Discovery Of Formulas For Mathematical Constants, by Michael Shalyt et al.
Summary of Layer- and Timestep-adaptive Differentiable Token Compression Ratios For Efficient Diffusion Transformers, by Haoran You et al.
Summary of Kg4diagnosis: a Hierarchical Multi-agent Llm Framework with Knowledge Graph Enhancement For Medical Diagnosis, by Kaiwen Zuo et al.
Summary of Algorithm Design For Continual Learning in Iot Networks, by Shugang Hao and Lingjie Duan
Summary of Graph Learning-based Regional Heavy Rainfall Prediction Using Low-cost Rain Gauges, by Edwin Salcedo
Summary of Acl-ql: Adaptive Conservative Level in Q-learning For Offline Reinforcement Learning, by Kun Wu et al.
Summary of Sharpness-aware Minimization with Adaptive Regularization For Training Deep Neural Networks, by Jinping Zou et al.
Summary of Batch Selection For Multi-label Classification Guided by Uncertainty and Dynamic Label Correlations, By Ao Zhou and Bin Liu and Jin Wang and Grigorios Tsoumakas
Summary of Vsformer: Value and Shape-aware Transformer with Prior-enhanced Self-attention For Multivariate Time Series Classification, by Wenjie Xi et al.
Summary of Physics-guided Fair Graph Sampling For Water Temperature Prediction in River Networks, by Erhu He et al.
Summary of Dofen: Deep Oblivious Forest Ensemble, by Kuan-yu Chen et al.
Summary of Fairdd: Enhancing Fairness with Domain-incremental Learning in Dermatological Disease Diagnosis, by Yiqin Luo et al.
Summary of Towards Environmentally Equitable Ai, by Mohammad Hajiesmaili and Shaolei Ren and Ramesh K. Sitaraman and Adam Wierman
Summary of High-dimensional Bayesian Optimization Via Random Projection Of Manifold Subspaces, by Quoc-anh Hoang Nguyen et al.
Summary of Learning For Cross-layer Resource Allocation in Mec-aided Cell-free Networks, by Chong Zheng et al.
Summary of Breaking the Context Bottleneck on Long Time Series Forecasting, by Chao Ma et al.
Summary of Fedga: Federated Learning with Gradient Alignment For Error Asymmetry Mitigation, by Chenguang Xiao et al.
Summary of A Meta-learning Approach to Bayesian Causal Discovery, by Anish Dhir et al.
Summary of Topology-aware 3d Gaussian Splatting: Leveraging Persistent Homology For Optimized Structural Integrity, by Tianqi Shen et al.
Summary of Deep Learning For Spatio-temporal Fusion in Land Surface Temperature Estimation: a Comprehensive Survey, Experimental Analysis, and Future Trends, by Sofiane Bouaziz et al.
Summary of Transformer-based Toxin-protein Interaction Analysis Prioritizes Airborne Particulate Matter Components with Potential Adverse Health Effects, by Yan Zhu et al.
Summary of Subgoal Discovery Using a Free Energy Paradigm and State Aggregations, by Amirhossein Mesbah et al.
Summary of Label Privacy in Split Learning For Large Models with Parameter-efficient Training, by Philip Zmushko et al.
Summary of From Correlation to Causation: Understanding Climate Change Through Causal Analysis and Llm Interpretations, by Shan Shan
Summary of Ganfusion: Feed-forward Text-to-3d with Diffusion in Gan Space, by Souhaib Attaiki et al.
Summary of Lillama: Large Language Models Compression Via Low-rank Feature Distillation, by Yaya Sy and Christophe Cerisara and Irina Illina
Summary of Kkans: Kurkova-kolmogorov-arnold Networks and Their Learning Dynamics, by Juan Diego Toscano et al.
Summary of Identifying Cyberbullying Roles in Social Media, by Manuel Sandoval et al.
Summary of Technical Report: Small Language Model For Japanese Clinical and Medicine, by Shogo Watanabe
Summary of Thegcn: Temporal Heterophilic Graph Convolutional Network, by Yuchen Yan et al.
Summary of Towards Graph Foundation Models: Learning Generalities Across Graphs Via Task-trees, by Zehong Wang et al.
Summary of Data-driven Fairness Generalization For Deepfake Detection, by Uzoamaka Ezeakunne et al.
Summary of Iterative Feature Exclusion Ranking For Deep Tabular Learning, by Fathi Said Emhemed Shaninah et al.
Summary of Has Llm Reached the Scaling Ceiling Yet? Unified Insights Into Llm Regularities and Constraints, by Charles Luo
Summary of Effective Context Modeling Framework For Emotion Recognition in Conversations, by Cuong Tran Van et al.
Summary of A Generalizable Anomaly Detection Method in Dynamic Graphs, by Xiao Yang et al.
Summary of Cbnn: 3-party Secure Framework For Customized Binary Neural Networks Inference, by Benchang Dong et al.
Summary of Correcting Large Language Model Behavior Via Influence Function, by Han Zhang et al.
Summary of Robust Random Graph Matching in Dense Graphs Via Vector Approximate Message Passing, by Zhangsong Li
Summary of The Road to Artificial Superintelligence: a Comprehensive Survey Of Superalignment, by Hyunjin Kim et al.