Paper List

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Summary of Euclidean Fast Attention: Machine Learning Global Atomic Representations at Linear Cost, by J. Thorben Frank et al.
Summary of Training Data Reconstruction: Privacy Due to Uncertainty?, by Christina Runkel et al.
Summary of Watermarking Training Data Of Music Generation Models, by Pascal Epple et al.
Summary of Grimm: a Plug-and-play Perturbation Rectifier For Graph Neural Networks Defending Against Poisoning Attacks, by Ao Liu et al.
Summary of Genplan: Generative Sequence Models As Adaptive Planners, by Akash Karthikeyan et al.
Summary of Underestimated Privacy Risks For Minority Populations in Large Language Model Unlearning, by Rongzhe Wei et al.
Summary of Preventing Conflicting Gradients in Neural Marked Temporal Point Processes, by Tanguy Bosser and Souhaib Ben Taieb
Summary of Learn How to Query From Unlabeled Data Streams in Federated Learning, by Yuchang Sun and Xinran Li and Tao Lin and Jun Zhang
Summary of Agmixup: Adaptive Graph Mixup For Semi-supervised Node Classification, by Weigang Lu et al.
Summary of How Vision-language Tasks Benefit From Large Pre-trained Models: a Survey, by Yayun Qi et al.
Summary of Dg-mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models, by Haonan Yuan et al.
Summary of Collaborative Hybrid Propagator For Temporal Misalignment in Audio-visual Segmentation, by Kexin Li et al.
Summary of Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?, by Zihao Li et al.
Summary of Diversity Drives Fairness: Ensemble Of Higher Order Mutants For Intersectional Fairness Of Machine Learning Software, by Zhenpeng Chen et al.
Summary of Analyzing and Mitigating Model Collapse in Rectified Flow Models, by Huminhao Zhu et al.
Summary of Mixture Of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification, by Xuanze Chen et al.
Summary of Generate Any Scene: Evaluating and Improving Text-to-vision Generation with Scene Graph Programming, by Ziqi Gao et al.
Summary of How Does the Smoothness Approximation Method Facilitate Generalization For Federated Adversarial Learning?, by Wenjun Ding et al.
Summary of Adaptive Prompting For Continual Relation Extraction: a Within-task Variance Perspective, by Minh Le et al.
Summary of Towards Precision in Bolted Joint Design: a Preliminary Machine Learning-based Parameter Prediction, by Ines Boujnah et al.
Summary of Districtnet: Decision-aware Learning For Geographical Districting, by Cheikh Ahmed et al.
Summary of K-hyperedge Medoids For Clustering Ensemble, by Feijiang Li et al.
Summary of Sinergym — a Virtual Testbed For Building Energy Optimization with Reinforcement Learning, by Alejandro Campoy-nieves et al.
Summary of Edge-splitting Mlp: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing, by Matthias Kohn et al.
Summary of Nyayaanumana & Inlegalllama: the Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model For Enhanced Decision Analysis, by Shubham Kumar Nigam et al.
Summary of Self-refining Diffusion Samplers: Enabling Parallelization Via Parareal Iterations, by Nikil Roashan Selvam et al.
Summary of Alore: Efficient Visual Adaptation Via Aggregating Low Rank Experts, by Sinan Du et al.
Summary of An Optimistic Algorithm For Online Convex Optimization with Adversarial Constraints, by Jordan Lekeufack et al.
Summary of Federated In-context Llm Agent Learning, by Panlong Wu et al.
Summary of Cluster-enhanced Federated Graph Neural Network For Recommendation, by Haiyan Wang et al.
Summary of Visible and Infrared Image Fusion Using Encoder-decoder Network, by Ferhat Can Ataman et al.
Summary of Statistical Downscaling Via High-dimensional Distribution Matching with Generative Models, by Zhong Yi Wan et al.
Summary of How to Select Slices For Annotation to Train Best-performing Deep Learning Segmentation Models For Cross-sectional Medical Images?, by Yixin Zhang and Kevin Kramer and Maciej A. Mazurowski
Summary of Em-net: Gaze Estimation with Expectation Maximization Algorithm, by Zhang Cheng et al.
Summary of Non-myopic Multi-objective Bayesian Optimization, by Syrine Belakaria et al.
Summary of Multilingual Llms Inherently Reward In-language Time-sensitive Semantic Alignment For Low-resource Languages, by Ashutosh Bajpai et al.
Summary of Adversarial Vulnerabilities in Large Language Models For Time Series Forecasting, by Fuqiang Liu et al.
Summary of Generative Zoo, by Tomasz Niewiadomski and Anastasios Yiannakidis and Hanz Cuevas-velasquez and Soubhik Sanyal and Michael J. Black and Silvia Zuffi and Peter Kulits
Summary of Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-language Models, by Sri Harsha Dumpala et al.
Summary of Barking Up the Syntactic Tree: Enhancing Vlm Training with Syntactic Losses, by Jiayun Luo et al.
Summary of Modeling Latent Non-linear Dynamical System Over Time Series, by Ren Fujiwara et al.
Summary of Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems Of Sar Oil Spill Segmentation, by Jaeho Moon et al.
Summary of Progressive Multi-granular Alignments For Grounded Reasoning in Large Vision-language Models, by Quang-hung Le et al.
Summary of Dense Depth From Event Focal Stack, by Kenta Horikawa and Mariko Isogawa and Hideo Saito and Shohei Mori
Summary of Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?, by Yanchen Xu et al.
Summary of Difframan: a Conditional Latent Denoising Diffusion Probabilistic Model For Bacterial Raman Spectroscopy Identification Under Limited Data Conditions, by Haiming Yao et al.
Summary of Wasserstein Distance Rivals Kullback-leibler Divergence For Knowledge Distillation, by Jiaming Lv et al.
Summary of Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning, by Can Yaras et al.
Summary of Non-normal Diffusion Models, by Henry Li
Summary of Neural Scaling Laws Rooted in the Data Distribution, by Ari Brill
Summary of Gpt-2 Through the Lens Of Vector Symbolic Architectures, by Johannes Knittel et al.
Summary of Forking Paths in Neural Text Generation, by Eric Bigelow et al.
Summary of Machines Of Meaning, by Davide Nunes et al.
Summary of Distributed Gradient Descent with Many Local Steps in Overparameterized Models, by Heng Zhu et al.
Summary of Phase-aware Training Schedule Simplifies Learning in Flow-based Generative Models, by Santiago Aranguri et al.
Summary of Amclr: Unified Augmented Learning For Cross-modal Representations, by Ajay Jagannath et al.
Summary of Concept Bottleneck Large Language Models, by Chung-en Sun et al.
Summary of Enhancing Remote Adversarial Patch Attacks on Face Detectors with Tiling and Scaling, by Masora Okano et al.
Summary of Accurate Prediction Of Temperature Indicators in Eastern China Using a Multi-scale Cnn-lstm-attention Model, by Jiajiang Shen et al.
Summary of Quantum-cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-making Simulations, by Milan Maksimovic and Ivan S. Maksymov
Summary of Of Dice and Games: a Theory Of Generalized Boosting, by Marco Bressan et al.
Summary of Can a Misl Fly? Analysis and Ingredients For Mutual Information Skill Learning, by Chongyi Zheng et al.
Summary of Gll: a Differentiable Graph Learning Layer For Neural Networks, by Jason Brown et al.
Summary of Constrained Best Arm Identification in Grouped Bandits, by Sahil Dharod et al.
Summary of Bootstrapping Heterogeneous Graph Representation Learning Via Large Language Models: a Generalized Approach, by Hang Gao et al.
Summary of Surveying Facial Recognition Models For Diverse Indian Demographics: a Comparative Analysis on Lfw and Custom Dataset, by Pranav Pant et al.
Summary of Candor: Counterfactual Annotated Doubly Robust Off-policy Evaluation, by Aishwarya Mandyam et al.
Summary of Portraittalk: Towards Customizable One-shot Audio-to-talking Face Generation, by Fatemeh Nazarieh et al.
Summary of Efficient Online Reinforcement Learning Fine-tuning Need Not Retain Offline Data, by Zhiyuan Zhou et al.
Summary of Bayesian Optimization Of Antibodies Informed by a Generative Model Of Evolving Sequences, By Alan Nawzad Amin et al.
Summary of From An Image to a Scene: Learning to Imagine the World From a Million 360 Videos, by Matthew Wallingford et al.
Summary of Video Motion Transfer with Diffusion Transformers, by Alexander Pondaven et al.
Summary of Efficient Diversity-preserving Diffusion Alignment Via Gradient-informed Gflownets, by Zhen Liu et al.
Summary of Boosting Alignment For Post-unlearning Text-to-image Generative Models, by Myeongseob Ko et al.
Summary of Fine-grained Graph Representation Learning For Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning, by Shengheng Liu et al.
Summary of Adversarial Autoencoders in Operator Learning, by Dustin Enyeart and Guang Lin
Summary of Multi-response Preference Optimization with Augmented Ranking Dataset, by Hansle Gwon et al.
Summary of Intelligent System For Automated Molecular Patent Infringement Assessment, by Yaorui Shi et al.
Summary of Score-optimal Diffusion Schedules, by Christopher Williams et al.
Summary of Hyperband-based Bayesian Optimization For Black-box Prompt Selection, by Lennart Schneider and Martin Wistuba and Aaron Klein and Jacek Golebiowski and Giovanni Zappella and Felice Antonio Merra
Summary of Comparative Analysis Of Deep Learning Approaches For Harmful Brain Activity Detection Using Eeg, by Shivraj Singh Bhatti et al.
Summary of Rumc: a Rule-based Classifier Inspired by Evolutionary Methods, By Melvin Mokhtari
Summary of On Faster Marginalization with Squared Circuits Via Orthonormalization, by Lorenzo Loconte et al.
Summary of Protocol Learning, Decentralized Frontier Risk and the No-off Problem, by Alexander Long
Summary of How Should We Represent History in Interpretable Models Of Clinical Policies?, by Anton Matsson et al.
Summary of Low-rank Correction For Quantized Llms, by Meyer Scetbon et al.
Summary of Score Change Of Variables, by Stephen Robbins
Summary of Real-time Sign Language Recognition Using Mobilenetv2 and Transfer Learning, by Smruti Jagtap et al.
Summary of Configx: Modular Configuration For Evolutionary Algorithms Via Multitask Reinforcement Learning, by Hongshu Guo et al.
Summary of Quantifying the Prediction Uncertainty Of Machine Learning Models For Individual Data, by Koby Bibas
Summary of Anomaly Detection Using Diffusion-based Methods, by Aryan Bhosale et al.
Summary of Contractive Dynamical Imitation Policies For Efficient Out-of-sample Recovery, by Amin Abyaneh et al.
Summary of Adaptive Epsilon Adversarial Training For Robust Gravitational Wave Parameter Estimation Using Normalizing Flows, by Yiqian Yang et al.
Summary of Scaling Sequential Recommendation Models with Transformers, by Pablo Zivic et al.
Summary of Paired Wasserstein Autoencoders For Conditional Sampling, by Moritz Piening and Matthias Chung
Summary of Fast Track to Winning Tickets: Repowering One-shot Pruning For Graph Neural Networks, by Yanwei Yue et al.
Summary of Sampling From Boltzmann Densities with Physics Informed Low-rank Formats, by Paul Hagemann et al.
Summary of Survbeta: Ensemble-based Survival Models Using Beran Estimators and Several Attention Mechanisms, by Lev V. Utkin et al.
Summary of Offline Multi-agent Reinforcement Learning Via In-sample Sequential Policy Optimization, by Zongkai Liu et al.
Summary of Trasce: Trajectory Steering For Concept Erasure, by Anubhav Jain et al.