Paper List
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Summary of Data Readiness For Ai: a 360-degree Survey, by Kaveen Hiniduma et al.
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Summary of Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: a Multiobjective Hyperparameter and Architecture Optimization Approach, by Yixuan Sun et al.
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Summary of Stmgf: An Effective Spatial-temporal Multi-granularity Framework For Traffic Forecasting, by Zhengyang Zhao et al.
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Summary of Dynamical Stability and Chaos in Artificial Neural Network Trajectories Along Training, by Kaloyan Danovski et al.
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Summary of Brusleattack: a Query-efficient Score-based Black-box Sparse Adversarial Attack, by Viet Quoc Vo et al.
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Summary of Lightff: Lightweight Inference For Forward-forward Algorithm, by Amin Aminifar et al.
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Summary of Hoeg: a New Approach For Object-centric Predictive Process Monitoring, by Tim K. Smit et al.
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Summary of Stochastic Online Optimization For Cyber-physical and Robotic Systems, by Hao Ma et al.
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Summary of Iterative Refinement Strategy For Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging, by Yu-hsi Chen
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Summary of Certified Peftsmoothing: Parameter-efficient Fine-tuning with Randomized Smoothing, by Chengyan Fu and Wenjie Wang
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Summary of A Parameter-free Clustering Algorithm For Missing Datasets, by Qi Li et al.
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Summary of What Are the Odds? Improving the Foundations Of Statistical Model Checking, by Tobias Meggendorfer et al.
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Summary of Physics Of Language Models: Part 3.3, Knowledge Capacity Scaling Laws, by Zeyuan Allen-zhu and Yuanzhi Li
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Summary of Tree Search-based Policy Optimization Under Stochastic Execution Delay, by David Valensi et al.
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Summary of Wavecatboost For Probabilistic Forecasting Of Regional Air Quality Data, by Jintu Borah et al.
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Summary of Hammr: Hierarchical Multimodal React Agents For Generic Vqa, by Lluis Castrejon et al.
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Summary of On Computational Modeling Of Sleep-wake Cycle, by Xin Li
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Summary of Taming Transformers For Realistic Lidar Point Cloud Generation, by Hamed Haghighi et al.
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Summary of Opsd: An Offensive Persian Social Media Dataset and Its Baseline Evaluations, by Mehran Safayani et al.
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Summary of Investigating the Effectiveness Of Cross-attention to Unlock Zero-shot Editing Of Text-to-video Diffusion Models, by Saman Motamed and Wouter Van Gansbeke and Luc Van Gool
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Summary of Evaluating Interventional Reasoning Capabilities Of Large Language Models, by Tejas Kasetty et al.
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Summary of On the Convergence Of Continual Learning with Adaptive Methods, by Seungyub Han et al.
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Summary of Dense Training, Sparse Inference: Rethinking Training Of Mixture-of-experts Language Models, by Bowen Pan et al.
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Summary of Dynamic Backtracking in Gflownets: Enhancing Decision Steps with Reward-dependent Adjustment Mechanisms, by Shuai Guo et al.
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Summary of A Robust Assessment For Invariant Representations, by Wenlu Tang et al.
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Summary of A Structure-guided Gauss-newton Method For Shallow Relu Neural Network, by Zhiqiang Cai et al.
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Summary of Test-time Training For Depression Detection, by Sri Harsha Dumpala et al.
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Summary of Dream: Improving Video-text Retrieval Through Relevance-based Augmentation Using Large Foundation Models, by Yimu Wang et al.
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Summary of Seer-moe: Sparse Expert Efficiency Through Regularization For Mixture-of-experts, by Alexandre Muzio et al.
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Summary of A Note on Lora, by Vlad Fomenko et al.
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Summary of How Bad Is Training on Synthetic Data? a Statistical Analysis Of Language Model Collapse, by Mohamed El Amine Seddik et al.
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Summary of Active Test-time Adaptation: Theoretical Analyses and An Algorithm, by Shurui Gui et al.
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Summary of Importance Of Realism in Procedurally-generated Synthetic Images For Deep Learning: Case Studies in Maize and Canola, by Nazifa Azam Khan et al.
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Summary of Plug and Play with Prompts: a Prompt Tuning Approach For Controlling Text Generation, by Rohan Deepak Ajwani et al.
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Summary of Enhancing Clinical Efficiency Through Llm: Discharge Note Generation For Cardiac Patients, by Hyoje Jung et al.
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Summary of Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations, By Tham Yik Foong et al.
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Summary of On the Price Of Exact Truthfulness in Incentive-compatible Online Learning with Bandit Feedback: a Regret Lower Bound For Wsu-ux, by Ali Mortazavi et al.
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Summary of Semantic Stealth: Adversarial Text Attacks on Nlp Using Several Methods, by Roopkatha Dey et al.
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Summary of Dlora: Distributed Parameter-efficient Fine-tuning Solution For Large Language Model, by Chao Gao and Sai Qian Zhang
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Summary of Progressive Alignment with Vlm-llm Feature to Augment Defect Classification For the Ase Dataset, by Chih-chung Hsu et al.
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Summary of Atfnet: Adaptive Time-frequency Ensembled Network For Long-term Time Series Forecasting, by Hengyu Ye et al.
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Summary of Bidirectional Long-range Parser For Sequential Data Understanding, by George Leotescu et al.
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Summary of Out-of-distribution Data: An Acquaintance Of Adversarial Examples — a Survey, by Naveen Karunanayake et al.
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Summary of Empirical Upscaling Of Point-scale Soil Moisture Measurements For Spatial Evaluation Of Model Simulations and Satellite Retrievals, by Yi Yu et al.
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Summary of Initial Exploration Of Zero-shot Privacy Utility Tradeoffs in Tabular Data Using Gpt-4, by Bishwas Mandal et al.
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Summary of Timecsl: Unsupervised Contrastive Learning Of General Shapelets For Explorable Time Series Analysis, by Zhiyu Liang et al.
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Summary of Percentile Criterion Optimization in Offline Reinforcement Learning, by Elita A. Lobo et al.
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Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
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Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
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Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
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Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
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Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
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Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
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Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
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Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
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Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
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Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
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Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
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Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
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Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
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Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
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Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
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Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
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Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
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Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
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Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
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Summary of Unsupervised Solution Operator Learning For Mean-field Games Via Sampling-invariant Parametrizations, by Han Huang et al.