Paper List
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Summary of Contrastive Factor Analysis, by Zhibin Duan et al.
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Summary of Large Language Monkeys: Scaling Inference Compute with Repeated Sampling, by Bradley Brown et al.
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Summary of Shieldgemma: Generative Ai Content Moderation Based on Gemma, by Wenjun Zeng and Yuchi Liu and Ryan Mullins and Ludovic Peran and Joe Fernandez and Hamza Harkous and Karthik Narasimhan and Drew Proud and Piyush Kumar and Bhaktipriya Radharapu and Olivia Sturman and Oscar Wahltinez
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Summary of A Vectorization Method Induced by Maximal Margin Classification For Persistent Diagrams, By An Wu and Yu Pan and Fuqi Zhou and Jinghui Yan and Chuanlu Liu
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Summary of Euda: An Efficient Unsupervised Domain Adaptation Via Self-supervised Vision Transformer, by Ali Abedi et al.
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Summary of State-observation Augmented Diffusion Model For Nonlinear Assimilation with Unknown Dynamics, by Zhuoyuan Li et al.
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Summary of Big Cooperative Learning, by Yulai Cong
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Summary of Image-based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: on the Execution Of Complex Robotic Tasks, by David Valencia et al.
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Summary of Differentially Private Block-wise Gradient Shuffle For Deep Learning, by David Zagardo
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Summary of Prospec Rl: Plan Ahead, Then Execute, by Liangliang Liu et al.
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Summary of Prompting Medical Large Vision-language Models to Diagnose Pathologies by Visual Question Answering, By Danfeng Guo and Demetri Terzopoulos
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Summary of Ftuner: a Fast Dynamic Shape Tensors Program Auto-tuner For Deep Learning Compilers, by Pengyu Mu et al.
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Summary of Smileynet — Towards the Prediction Of the Lottery by Reading Tea Leaves with Ai, By Andreas Birk
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Summary of Cost-effective Hallucination Detection For Llms, by Simon Valentin et al.
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Summary of Transient Anisotropic Kernel For Probabilistic Learning on Manifolds, by Christian Soize and Roger Ghanem
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Summary of Mllm Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation Via Knowledge-enhanced Reranking and Noise-injected Training, by Zhanpeng Chen et al.
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Summary of Tinychirp: Bird Song Recognition Using Tinyml Models on Low-power Wireless Acoustic Sensors, by Zhaolan Huang et al.
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Summary of On the Problem Of Text-to-speech Model Selection For Synthetic Data Generation in Automatic Speech Recognition, by Nick Rossenbach et al.
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Summary of Multi-agent Assessment with Qos Enhancement For Hd Map Updates in a Vehicular Network, by Jeffrey Redondo et al.
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Summary of Root Cause Analysis Of Productivity Losses in Manufacturing Systems Utilizing Ensemble Machine Learning, by Jonas Gram et al.
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Summary of Fssc: Federated Learning Of Transformer Neural Networks For Semantic Image Communication, by Yuna Yan et al.
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Summary of Tabular Data Augmentation For Machine Learning: Progress and Prospects Of Embracing Generative Ai, by Lingxi Cui and Huan Li and Ke Chen and Lidan Shou and Gang Chen
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Summary of Data Contamination Report From the 2024 Conda Shared Task, by Oscar Sainz et al.
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Summary of The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines, by Di Zhang and Suvrajeet Sen
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Summary of Zero Shot Health Trajectory Prediction Using Transformer, by Pawel Renc et al.
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Summary of Tuning the Frequencies: Robust Training For Sinusoidal Neural Networks, by Tiago Novello et al.
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Summary of Computational Music Analysis From First Principles, by Dmitri Tymoczko and Mark Newman
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Summary of Private Collaborative Edge Inference Via Over-the-air Computation, by Selim F. Yilmaz et al.
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Summary of Embedding Space Selection For Detecting Memorization and Fingerprinting in Generative Models, by Jack He et al.
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Summary of Dkl-kan: Scalable Deep Kernel Learning Using Kolmogorov-arnold Networks, by Shrenik Zinage et al.
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Summary of Analyzing Customer-facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques, by Vivek Kaushik and Jason Tang
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Summary of Amelia: a Large Model and Dataset For Airport Surface Movement Forecasting, by Ingrid Navarro et al.
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Summary of Diffusion-based Generation Of Neural Activity From Disentangled Latent Codes, by Jonathan D. Mccart et al.
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Summary of Neurosem: a Hybrid Framework For Simulating Multiphysics Problems by Coupling Pinns and Spectral Elements, By Khemraj Shukla et al.
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Summary of Informed Correctors For Discrete Diffusion Models, by Yixiu Zhao et al.
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Summary of Towards An Integrated Performance Framework For Fire Science and Management Workflows, by H. Ahmed et al.
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Summary of Adaptive Pre-training Data Detection For Large Language Models Via Surprising Tokens, by Anqi Zhang et al.
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Summary of Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation, by Taehyun Cho et al.
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Summary of Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with Msu-net, by Rohini Banerjee and Cecilia G. Morales and Artur Dubrawski
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Summary of Fedbchain: a Blockchain-enabled Federated Learning Framework For Improving Deepconvlstm with Comparative Strategy Insights, by Gaoxuan Li et al.
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Summary of Robust Box Prompt Based Sam For Medical Image Segmentation, by Yuhao Huang et al.
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Summary of Tracksorter: a Transformer-based Sorting Algorithm For Track Finding in High Energy Physics, by Yash Melkani et al.
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Summary of From Feature Importance to Natural Language Explanations Using Llms with Rag, by Sule Tekkesinoglu and Lars Kunze
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Summary of Learning Ordinality in Semantic Segmentation, by Ricardo P. M. Cruz and Rafael Cristino and Jaime S. Cardoso
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Summary of Mofo: Momentum-filtered Optimizer For Mitigating Forgetting in Llm Fine-tuning, by Yupeng Chen et al.
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Summary of Gabinsight: Exploring Gender-activity Binding Bias in Vision-language Models, by Ali Abdollahi et al.
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Summary of Ai-assisted Generation Of Difficult Math Questions, by Vedant Shah et al.
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Summary of Cleft: Language-image Contrastive Learning with Efficient Large Language Model and Prompt Fine-tuning, by Yuexi Du et al.
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Summary of Cp-prompt: Composition-based Cross-modal Prompting For Domain-incremental Continual Learning, by Yu Feng et al.
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Summary of Mapping Patient Trajectories: Understanding and Visualizing Sepsis Prognostic Pathways From Patients Clinical Narratives, by Sudeshna Jana et al.
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Summary of Promises and Pitfalls Of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines, by Yuchen Li et al.
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Summary of Multi-group Uncertainty Quantification For Long-form Text Generation, by Terrance Liu et al.
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Summary of Evaluating Long Range Dependency Handling in Code Generation Models Using Multi-step Key Retrieval, by Yannick Assogba et al.
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Summary of Sentiment Reasoning For Healthcare, by Khai-nguyen Nguyen et al.
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Summary of Elp-adapters: Parameter Efficient Adapter Tuning For Various Speech Processing Tasks, by Nakamasa Inoue et al.
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Summary of Lawllm: Law Large Language Model For the Us Legal System, by Dong Shu et al.
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Summary of Enhancing Adversarial Text Attacks on Bert Models with Projected Gradient Descent, by Hetvi Waghela et al.
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Summary of Genetic Instruct: Scaling Up Synthetic Generation Of Coding Instructions For Large Language Models, by Somshubra Majumdar et al.
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Summary of Accelerating Large Language Model Inference with Self-supervised Early Exits, by Florian Valade
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Summary of Learning Optimal Signal Temporal Logic Decision Trees For Classification: a Max-flow Milp Formulation, by Kaier Liang et al.
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Summary of Palu: Compressing Kv-cache with Low-rank Projection, by Chi-chih Chang et al.
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Summary of Industrial-grade Smart Troubleshooting Through Causal Technical Language Processing: a Proof Of Concept, by Alexandre Trilla et al.
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Summary of Pip: Prototypes-injected Prompt For Federated Class Incremental Learning, by Muhammad Anwar Ma’sum et al.
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Summary of Hypermm : Robust Multimodal Learning with Varying-sized Inputs, by Hava Chaptoukaev et al.
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Summary of Improving Pinns by Algebraic Inclusion Of Boundary and Initial Conditions, By Mohan Ren et al.
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Summary of Efficient Pareto Manifold Learning with Low-rank Structure, by Weiyu Chen et al.
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Summary of Interpretable Pre-trained Transformers For Heart Time-series Data, by Harry J. Davies et al.
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Summary of Inverse Problems with Diffusion Models: a Map Estimation Perspective, by Sai Bharath Chandra Gutha et al.
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Summary of Be Aware Of Overfitting by Hyperparameter Optimization!, By Igor V. Tetko et al.
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Summary of Diffusion Augmented Agents: a Framework For Efficient Exploration and Transfer Learning, by Norman Di Palo et al.
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Summary of Arcle: the Abstraction and Reasoning Corpus Learning Environment For Reinforcement Learning, by Hosung Lee et al.
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Summary of Dygkt: Dynamic Graph Learning For Knowledge Tracing, by Ke Cheng et al.
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Summary of Federated Knowledge Recycling: Privacy-preserving Synthetic Data Sharing, by Eugenio Lomurno et al.
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Summary of Robust Load Prediction Of Power Network Clusters Based on Cloud-model-improved Transformer, by Cheng Jiang et al.
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Summary of Bayesian Low-rank Learning (bella): a Practical Approach to Bayesian Neural Networks, by Bao Gia Doan et al.
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Summary of Co-neighbor Encoding Schema: a Light-cost Structure Encoding Method For Dynamic Link Prediction, by Ke Cheng et al.
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Summary of Mambacapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network, by Yinlong Xu et al.
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Summary of An Effective Dynamic Gradient Calibration Method For Continual Learning, by Weichen Lin et al.
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Summary of How to Choose a Reinforcement-learning Algorithm, by Fabian Bongratz et al.
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Summary of What Are Good Positional Encodings For Directed Graphs?, by Yinan Huang et al.
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Summary of Machine Unlearning in Generative Ai: a Survey, by Zheyuan Liu et al.
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Summary of Diffusioncounterfactuals: Inferring High-dimensional Counterfactuals with Guidance Of Causal Representations, by Jiageng Zhu et al.
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Summary of Can Llms Be Fooled? Investigating Vulnerabilities in Llms, by Sara Abdali et al.
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Summary of Cellm: An Efficient Communication in Large Language Models Training For Federated Learning, by Raja Vavekanand et al.
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Summary of Invariant Deep Neural Networks Under the Finite Group For Solving Partial Differential Equations, by Zhi-yong Zhang et al.
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Summary of Joint Diffusion Processes As An Inductive Bias in Sheaf Neural Networks, by Ferran Hernandez Caralt et al.
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Summary of The Entrapment Problem in Random Walk Decentralized Learning, by Zonghong Liu et al.
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Summary of Sharktrack: An Accurate, Generalisable Software For Streamlining Shark and Ray Underwater Video Analysis, by Filippo Varini et al.
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Summary of Improved Bounds For Pure Private Agnostic Learning: Item-level and User-level Privacy, by Bo Li et al.
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Summary of Leveraging Multi-facet Paths For Heterogeneous Graph Representation Learning, by Jongwoo Kim et al.
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Summary of No Learning Rates Needed: Introducing Salsa — Stable Armijo Line Search Adaptation, by Philip Kenneweg et al.
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Summary of Towards Generalizable Reinforcement Learning Via Causality-guided Self-adaptive Representations, by Yupei Yang et al.
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Summary of Prompt-driven Contrastive Learning For Transferable Adversarial Attacks, by Hunmin Yang et al.
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Summary of Facl-attack: Frequency-aware Contrastive Learning For Transferable Adversarial Attacks, by Hunmin Yang et al.
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Summary of Docxpand-25k: a Large and Diverse Benchmark Dataset For Identity Documents Analysis, by Julien Lerouge et al.
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Summary of Rethinking the Function Of Neurons in Kans, by Mohammed Ghaith Altarabichi