Paper List

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Summary of Granular Ball Twin Support Vector Machine with Universum Data, by M. A. Ganaie and Vrushank Ahire
Summary of Ai-driven Day-to-day Route Choice, by Leizhen Wang et al.
Summary of Can Neural Operators Always Be Continuously Discretized?, by Takashi Furuya et al.
Summary of Risk-aware Classification Via Uncertainty Quantification, by Murat Sensoy and Lance M. Kaplan and Simon Julier and Maryam Saleki and Federico Cerutti
Summary of Learning Semantic Association Rules From Internet Of Things Data, by Erkan Karabulut et al.
Summary of Assessing Foundation Models’ Transferability to Physiological Signals in Precision Medicine, by Matthias Christenson and Cove Geary and Brian Locke and Pranav Koirala and Warren Woodrich Pettine
Summary of Singer: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model, by Yan Li et al.
Summary of Enhancing Trust in Large Language Models with Uncertainty-aware Fine-tuning, by Ranganath Krishnan et al.
Summary of Shapewords: Guiding Text-to-image Synthesis with 3d Shape-aware Prompts, by Dmitry Petrov et al.
Summary of Harnessing Loss Decomposition For Long-horizon Wave Predictions Via Deep Neural Networks, by Indu Kant Deo et al.
Summary of Higher Order Transformers: Efficient Attention Mechanism For Tensor Structured Data, by Soroush Omranpour et al.
Summary of Inverse Delayed Reinforcement Learning, by Simon Sinong Zhan et al.
Summary of Bgtplanner: Maximizing Training Accuracy For Differentially Private Federated Recommenders Via Strategic Privacy Budget Allocation, by Xianzhi Zhang et al.
Summary of Saver: a Toolbox For Sampling-based, Probabilistic Verification Of Neural Networks, by Vignesh Sivaramakrishnan et al.
Summary of Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-language Model Via Causality Analysis, by Po-hsuan Huang et al.
Summary of 3d Interaction Geometric Pre-training For Molecular Relational Learning, by Namkyeong Lee et al.
Summary of Theoretical Limitations Of Multi-layer Transformer, by Lijie Chen et al.
Summary of How Many Ratings Per Item Are Necessary For Reliable Significance Testing?, by Christopher Homan et al.
Summary of Surveying the Effects Of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models, by Alex Havrilla et al.
Summary of Preference-based Pure Exploration, by Apurv Shukla et al.
Summary of Data Acquisition For Improving Model Fairness Using Reinforcement Learning, by Jahid Hasan et al.
Summary of Less Is More: a Stealthy and Efficient Adversarial Attack Method For Drl-based Autonomous Driving Policies, by Junchao Fan et al.
Summary of A Granger-causal Perspective on Gradient Descent with Application to Pruning, by Aditya Shah et al.
Summary of Point-gn: a Non-parametric Network Using Gaussian Positional Encoding For Point Cloud Classification, by Marzieh Mohammadi and Amir Salarpour
Summary of Utsd: Unified Time Series Diffusion Model, by Xiangkai Ma et al.
Summary of Revolve: Optimizing Ai Systems by Tracking Response Evolution in Textual Optimization, By Peiyan Zhang et al.
Summary of Few-shot Learning with Adaptive Weight Masking in Conditional Gans, by Jiacheng Hu et al.
Summary of Dyffcast: Regional Precipitation Nowcasting Using Imerg Satellite Data. a Case Study Over South America, by Daniel Seal et al.
Summary of Emg2pose: a Large and Diverse Benchmark For Surface Electromyographic Hand Pose Estimation, by Sasha Salter et al.
Summary of Optimizing Large Language Models For Turkish: New Methodologies in Corpus Selection and Training, by H. Toprak Kesgin et al.
Summary of Wxc-bench: a Novel Dataset For Weather and Climate Downstream Tasks, by Rajat Shinde et al.
Summary of Resource-adaptive Successive Doubling For Hyperparameter Optimization with Large Datasets on High-performance Computing Systems, by Marcel Aach et al.
Summary of Synergistic Development Of Perovskite Memristors and Algorithms For Robust Analog Computing, by Nanyang Ye et al.
Summary of Temporally Consistent Dynamic Scene Graphs: An End-to-end Approach For Action Tracklet Generation, by Raphael Ruschel et al.
Summary of Universal Rates Of Empirical Risk Minimization, by Steve Hanneke and Mingyue Xu
Summary of Caisson: Concept-augmented Inference Suite Of Self-organizing Neural Networks, by Igor Halperin
Summary of Geographical Information Alignment Boosts Traffic Analysis Via Transpose Cross-attention, by Xiangyu Jiang et al.
Summary of Batch Normalization Decomposed, by Ido Nachum et al.
Summary of Optimized Cnns For Rapid 3d Point Cloud Object Recognition, by Tianyi Lyu et al.
Summary of Is Large-scale Pretraining the Secret to Good Domain Generalization?, by Piotr Teterwak et al.
Summary of Measuring Bias Of Web-filtered Text Datasets and Bias Propagation Through Training, by Youssef Mansour and Reinhard Heckel
Summary of An Information-theoretic Analysis Of Thompson Sampling For Logistic Bandits, by Amaury Gouverneur et al.
Summary of Memory-efficient Continual Learning with Neural Collapse Contrastive, by Trung-anh Dang et al.
Summary of Out-of-distribution Detection For Neurosymbolic Autonomous Cyber Agents, by Ankita Samaddar et al.
Summary of Modeling and Discovering Direct Causes For Predictive Models, by Yizuo Chen et al.
Summary of Removing Spurious Correlation From Neural Network Interpretations, by Milad Fotouhi et al.
Summary of Guess: Generative Uncertainty Ensemble For Self Supervision, by Salman Mohamadi et al.
Summary of Dp-2stage: Adapting Language Models As Differentially Private Tabular Data Generators, by Tejumade Afonja et al.
Summary of Comet:combined Matrix For Elucidating Targets, by Haojie Wang et al.
Summary of Oodface: Benchmarking Robustness Of Face Recognition Under Common Corruptions and Appearance Variations, by Caixin Kang et al.
Summary of Ca-moe: Channel-adapted Moe For Incremental Weather Forecasting, by Hao Chen et al.
Summary of Llmforecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data, by Hanyu Zhang et al.
Summary of Unveiling Concept Attribution in Diffusion Models, by Quang H. Nguyen et al.
Summary of Private Linear Regression with Differential Privacy and Pac Privacy, by Hillary Yang
Summary of Fractional Order Distributed Optimization, by Andrei Lixandru et al.
Summary of Class-wise Autoencoders Measure Classification Difficulty and Detect Label Mistakes, by Jacob Marks et al.
Summary of Cegi: Measuring the Trade-off Between Efficiency and Carbon Emissions For Slms and Vlms, by Abhas Kumar et al.
Summary of Interpretable Company Similarity with Sparse Autoencoders, by Marco Molinari et al.
Summary of Wasserstein Markets For Differentially-private Data, by Saurab Chhachhi and Fei Teng
Summary of Sharp-it: a Multi-view to Multi-view Diffusion Model For 3d Synthesis and Manipulation, by Yiftach Edelstein et al.
Summary of Improving Dynamic Object Interactions in Text-to-video Generation with Ai Feedback, by Hiroki Furuta et al.
Summary of Interpretable Generalized Additive Models For Datasets with Missing Values, by Hayden Mctavish et al.
Summary of Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions, by Kai Sun et al.
Summary of T-reg: Preference Optimization with Token-level Reward Regularization, by Wenxuan Zhou et al.
Summary of Mind the Gap: Examining the Self-improvement Capabilities Of Large Language Models, by Yuda Song et al.
Summary of Scaling Bert Models For Turkish Automatic Punctuation and Capitalization Correction, by Abdulkader Saoud et al.
Summary of Enhanced N-beats For Mid-term Electricity Demand Forecasting, by Mateusz Kasprzyk et al.
Summary of On Simplifying Large-scale Spatial Vectors: Fast, Memory-efficient, and Cost-predictable K-means, by Yushuai Ji et al.
Summary of Selective Reviews Of Bandit Problems in Ai Via a Statistical View, by Pengjie Zhou et al.
Summary of Composing Open-domain Vision with Rag For Ocean Monitoring and Conservation, by Sepand Dyanatkar et al.
Summary of Diabetic Retinopathy Classification From Retinal Images Using Machine Learning Approaches, by Indronil Bhattacharjee et al.
Summary of Botracle: a Framework For Discriminating Bots and Humans, by Jan Kadel et al.
Summary of Step-by-step Guidance to Differential Anemia Diagnosis with Real-world Data and Deep Reinforcement Learning, by Lillian Muyama et al.
Summary of Learn More by Using Less: Distributed Learning with Energy-constrained Devices, By Roberto Pereira et al.
Summary of Gqwformer: a Quantum-based Transformer For Graph Representation Learning, by Lei Yu et al.
Summary of Conformal Symplectic Optimization For Stable Reinforcement Learning, by Yao Lyu et al.
Summary of Deep Matrix Factorization with Adaptive Weights For Multi-view Clustering, by Yasser Khalafaoui (alteca) et al.
Summary of Enhanced Photovoltaic Power Forecasting: An Itransformer and Lstm-based Model Integrating Temporal and Covariate Interactions, by Guang Wu et al.
Summary of Switchable Deep Beamformer For High-quality and Real-time Passive Acoustic Mapping, by Yi Zeng et al.
Summary of Noisy Ostracods: a Fine-grained, Imbalanced Real-world Dataset For Benchmarking Robust Machine Learning and Label Correction Methods, by Jiamian Hu et al.
Summary of Efficient Model Compression Techniques with Fishleg, by Jamie Mcgowan et al.
Summary of Federated Analytics in Practice: Engineering For Privacy, Scalability and Practicality, by Harish Srinivas et al.
Summary of 3d Face Reconstruction From Radar Images, by Valentin Braeutigam et al.
Summary of Lora Diffusion: Zero-shot Lora Synthesis For Diffusion Model Personalization, by Ethan Smith et al.
Summary of Vista: a Panoramic View Of Neural Representations, by Tom White
Summary of Improved Localized Machine Unlearning Through the Lens Of Memorization, by Reihaneh Torkzadehmahani et al.
Summary of Artificial Expert Intelligence Through Pac-reasoning, by Shai Shalev-shwartz et al.
Summary of Mep-net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle, By Wuyue Yang et al.
Summary of The Problem Of Social Cost in Multi-agent General Reinforcement Learning: Survey and Synthesis, by Kee Siong Ng et al.
Summary of Crash Severity Risk Modeling Strategies Under Data Imbalance, by Abdullah Al Mamun (1) et al.
Summary of Beyond Tree Models: a Hybrid Model Of Kan and Gmlp For Large-scale Financial Tabular Data, by Mingming Zhang et al.
Summary of Ilash: a Predictive Neural Architecture Search Framework For Multi-task Applications, by Md Hafizur Rahman et al.
Summary of Understanding Particles From Video: Property Estimation Of Granular Materials Via Visuo-haptic Learning, by Zeqing Zhang et al.
Summary of Benchmarking Symbolic Regression Constant Optimization Schemes, by L.g.a Dos Reis et al.
Summary of Optimizing Latent Goal by Learning From Trajectory Preference, By Guangyu Zhao et al.
Summary of Revisiting the Initial Steps in Adaptive Gradient Descent Optimization, by Abulikemu Abuduweili and Changliu Liu
Summary of Causalmob: Causal Human Mobility Prediction with Llms-derived Human Intentions Toward Public Events, by Xiaojie Yang and Hangli Ge and Jiawei Wang and Zipei Fan and Renhe Jiang and Ryosuke Shibasaki and Noboru Koshizuka
Summary of Jailbreak Defense in a Narrow Domain: Limitations Of Existing Methods and a New Transcript-classifier Approach, by Tony T. Wang et al.
Summary of Generalizing Weisfeiler-lehman Kernels to Subgraphs, by Dongkwan Kim et al.
Summary of Deep Learning, Machine Learning, Advancing Big Data Analytics and Management, by Weiche Hsieh et al.