Paper List

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Summary of Windowmixer: Intra-window and Inter-window Modeling For Time Series Forecasting, by Quangao Liu et al.
Summary of Gliner Multi-task: Generalist Lightweight Model For Various Information Extraction Tasks, by Ihor Stepanov and Mykhailo Shtopko
Summary of Interpretable Cascading Mixture-of-experts For Urban Traffic Congestion Prediction, by Wenzhao Jiang et al.
Summary of Evaluating the Generalization Ability Of Quantized Llms: Benchmark, Analysis, and Toolbox, by Yijun Liu et al.
Summary of Implicit Bias Of Mirror Flow on Separable Data, by Scott Pesme et al.
Summary of Quasi-bayes Meets Vines, by David Huk et al.
Summary of Towards Exact Gradient-based Training on Analog In-memory Computing, by Zhaoxian Wu and Tayfun Gokmen and Malte J. Rasch and Tianyi Chen
Summary of In-context Learning Of Energy Functions, by Rylan Schaeffer et al.
Summary of Scalable Rule Lists Learning with Sampling, by Leonardo Pellegrina and Fabio Vandin
Summary of Probabilistic Temporal Prediction Of Continuous Disease Trajectories and Treatment Effects Using Neural Sdes, by Joshua Durso-finley et al.
Summary of The Limits Of Pure Exploration in Pomdps: When the Observation Entropy Is Enough, by Riccardo Zamboni et al.
Summary of Graph Neural Networks in Histopathology: Emerging Trends and Future Directions, by Siemen Brussee et al.
Summary of Dissecting Adversarial Robustness Of Multimodal Lm Agents, by Chen Henry Wu et al.
Summary of Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation, by Nikolas Koutsoubis et al.
Summary of Neural Approximate Mirror Maps For Constrained Diffusion Models, by Berthy T. Feng et al.
Summary of Lamda: Large Model Fine-tuning Via Spectrally Decomposed Low-dimensional Adaptation, by Seyedarmin Azizi et al.
Summary of Influence Maximization Via Graph Neural Bandits, by Yuting Feng et al.
Summary of Layermerge: Neural Network Depth Compression Through Layer Pruning and Merging, by Jinuk Kim et al.
Summary of Evaluating the Design Space Of Diffusion-based Generative Models, by Yuqing Wang et al.
Summary of Demystifying Higher-order Graph Neural Networks, by Maciej Besta et al.
Summary of Can Go Ais Be Adversarially Robust?, by Tom Tseng et al.
Summary of Synergizing Foundation Models and Federated Learning: a Survey, by Shenghui Li et al.
Summary of Interpretable Preferences Via Multi-objective Reward Modeling and Mixture-of-experts, by Haoxiang Wang et al.
Summary of Controlling Chaos Using Edge Computing Hardware, by Robert M. Kent et al.
Summary of Generalization Bounds For Mixing Processes Via Delayed Online-to-pac Conversions, by Baptiste Abeles et al.
Summary of Discovering Minimal Reinforcement Learning Environments, by Jarek Liesen et al.
Summary of Attack and Defense Of Deep Learning Models in the Field Of Web Attack Detection, by Lijia Shi et al.
Summary of When Are Bias-free Relu Networks Effectively Linear Networks?, by Yedi Zhang et al.
Summary of Learning Diffusion at Lightspeed, by Antonio Terpin et al.
Summary of Efficient and Long-tailed Generalization For Pre-trained Vision-language Model, by Jiang-xin Shi et al.
Summary of Research and Implementation Of Data Enhancement Techniques For Graph Neural Networks, by Jingzhao Gu (1) et al.
Summary of Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations For Vision Foundation Models, by Hengyi Wang et al.
Summary of Federated Learning with a Single Shared Image, by Sunny Soni et al.
Summary of Score: a 1d Reparameterization Technique to Break Bayesian Optimization’s Curse Of Dimensionality, by Joseph Chakar
Summary of Stealth Edits to Large Language Models, by Oliver J. Sutton et al.
Summary of A Systematization Of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning, by Flora Angileri et al.
Summary of Contraction Rates For Conjugate Gradient and Lanczos Approximate Posteriors in Gaussian Process Regression, by Bernhard Stankewitz and Botond Szabo
Summary of Spatial Sequence Attention Network For Schizophrenia Classification From Structural Brain Mr Images, by Nagur Shareef Shaik and Teja Krishna Cherukuri and Vince Calhoun and Dong Hye Ye
Summary of Xxltraffic: Expanding and Extremely Long Traffic Dataset For Ultra-dynamic Forecasting Challenges, by Du Yin et al.
Summary of Super: Selfie Undistortion and Head Pose Editing with Identity Preservation, by Polina Karpikova et al.
Summary of Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned, by Du Yin et al.
Summary of Bioscan-5m: a Multimodal Dataset For Insect Biodiversity, by Zahra Gharaee et al.
Summary of Gfm4mpm: Towards Geospatial Foundation Models For Mineral Prospectivity Mapping, by Angel Daruna et al.
Summary of Tsi-bench: Benchmarking Time Series Imputation, by Wenjie Du et al.
Summary of Planrag: a Plan-then-retrieval Augmented Generation For Generative Large Language Models As Decision Makers, by Myeonghwa Lee et al.
Summary of Federated Learning with Limited Node Labels, by Bisheng Tang et al.
Summary of A Data-centric Approach For Assessing Progress Of Graph Neural Networks, by Tianqi Zhao et al.
Summary of Adversarial Multi-dueling Bandits, by Pratik Gajane
Summary of Insect Identification in the Wild: the Ami Dataset, by Aditya Jain et al.
Summary of Accelerating Depthwise Separable Convolutions on Ultra-low-power Devices, by Francesco Daghero et al.
Summary of The Power Of Llm-generated Synthetic Data For Stance Detection in Online Political Discussions, by Stefan Sylvius Wagner and Maike Behrendt and Marc Ziegele and Stefan Harmeling
Summary of Autonomous Navigation Of Catheters and Guidewires in Mechanical Thrombectomy Using Inverse Reinforcement Learning, by Harry Robertshaw et al.
Summary of Improving the Evaluation and Actionability Of Explanation Methods For Multivariate Time Series Classification, by Davide Italo Serramazza et al.
Summary of Tree: Tree Regularization For Efficient Execution, by Lena Schmid et al.
Summary of Variational Distillation Of Diffusion Policies Into Mixture Of Experts, by Hongyi Zhou et al.
Summary of The Heterophilic Snowflake Hypothesis: Training and Empowering Gnns For Heterophilic Graphs, by Kun Wang et al.
Summary of Offline Imitation Learning with Model-based Reverse Augmentation, by Jie-jing Shao et al.
Summary of A Super-human Vision-based Reinforcement Learning Agent For Autonomous Racing in Gran Turismo, by Miguel Vasco et al.
Summary of Towards Bayesian Data Selection, by Julian Rodemann
Summary of Low-resource Machine Translation Through the Lens Of Personalized Federated Learning, by Viktor Moskvoretskii et al.
Summary of Moyu: a Theoretical Study on Massive Over-activation Yielded Uplifts in Llms, by Chi Ma et al.
Summary of Mathador-lm: a Dynamic Benchmark For Mathematical Reasoning on Large Language Models, by Eldar Kurtic et al.
Summary of Training Diffusion Models with Federated Learning, by Matthijs De Goede et al.
Summary of Uifv: Data Reconstruction Attack in Vertical Federated Learning, by Jirui Yang et al.
Summary of Demystifying the Recency Heuristic in Temporal-difference Learning, by Brett Daley et al.
Summary of Virl: Volume-informed Representation Learning Towards Few-shot Manufacturability Estimation, by Yu-hsuan Chen et al.
Summary of Faithful Density-peaks Clustering Via Matrix Computations on Mpi Parallelization System, by Ji Xu et al.
Summary of Mixture Of Scales: Memory-efficient Token-adaptive Binarization For Large Language Models, by Dongwon Jo et al.
Summary of What Did I Do Wrong? Quantifying Llms’ Sensitivity and Consistency to Prompt Engineering, by Federico Errica et al.
Summary of Attention Score Is Not All You Need For Token Importance Indicator in Kv Cache Reduction: Value Also Matters, by Zhiyu Guo et al.
Summary of Towards Understanding Domain Adapted Sentence Embeddings For Document Retrieval, by Sujoy Roychowdhury et al.
Summary of Parafac2-based Coupled Matrix and Tensor Factorizations with Constraints, by Carla Schenker et al.
Summary of Top-down Bayesian Posterior Sampling For Sum-product Networks, by Soma Yokoi et al.
Summary of Memory Sequence Length Of Data Sampling Impacts the Adaptation Of Meta-reinforcement Learning Agents, by Menglong Zhang et al.
Summary of Urbanllm: Autonomous Urban Activity Planning and Management with Large Language Models, by Yue Jiang et al.
Summary of Structured Prediction in Online Learning, by Pierre Boudart (di-ens et al.
Summary of Competitive Learning For Achieving Content-specific Filters in Video Coding For Machines, by Honglei Zhang et al.
Summary of Webcanvas: Benchmarking Web Agents in Online Environments, by Yichen Pan et al.
Summary of Gw-moe: Resolving Uncertainty in Moe Router with Global Workspace Theory, by Haoze Wu et al.
Summary of Qog:question and Options Generation Based on Language Model, by Jincheng Zhou
Summary of Fast Rates For Bandit Pac Multiclass Classification, by Liad Erez et al.
Summary of Translation Equivariant Transformer Neural Processes, by Matthew Ashman et al.
Summary of Mmutf: Multimodal Multimedia Event Argument Extraction with Unified Template Filling, by Philipp Seeberger et al.
Summary of Pslm: Parallel Generation Of Text and Speech with Llms For Low-latency Spoken Dialogue Systems, by Kentaro Mitsui et al.
Summary of Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods, by Vincent Olesen et al.
Summary of Chaosmining: a Benchmark to Evaluate Post-hoc Local Attribution Methods in Low Snr Environments, by Ge Shi et al.
Summary of Exploring the Impact Of a Transformer’s Latent Space Geometry on Downstream Task Performance, by Anna C. Marbut et al.
Summary of Bpo: Staying Close to the Behavior Llm Creates Better Online Llm Alignment, by Wenda Xu et al.
Summary of Location-based Radiology Report-guided Semi-supervised Learning For Prostate Cancer Detection, by Alex Chen et al.
Summary of Adaptive Collaborative Correlation Learning-based Semi-supervised Multi-label Feature Selection, by Yanyong Huang et al.
Summary of Time Series Modeling For Heart Rate Prediction: From Arima to Transformers, by Haowei Ni and Shuchen Meng and Xieming Geng and Panfeng Li and Zhuoying Li and Xupeng Chen and Xiaotong Wang and Shiyao Zhang
Summary of An Optimal Transport Approach For Network Regression, by Alex G. Zalles et al.
Summary of Sfedca: Credit Assignment-based Active Client Selection Strategy For Spiking Federated Learning, by Qiugang Zhan et al.
Summary of Order-optimal Instance-dependent Bounds For Offline Reinforcement Learning with Preference Feedback, by Zhirui Chen and Vincent Y. F. Tan
Summary of Hierarchical Associative Memory, Parallelized Mlp-mixer, and Symmetry Breaking, by Ryo Karakida et al.
Summary of Spatially Resolved Gene Expression Prediction From Histology Via Multi-view Graph Contrastive Learning with Hsic-bottleneck Regularization, by Changxi Chi et al.
Summary of More Efficient Randomized Exploration For Reinforcement Learning Via Approximate Sampling, by Haque Ishfaq et al.
Summary of Gmp-ar: Granularity Message Passing and Adaptive Reconciliation For Temporal Hierarchy Forecasting, by Fan Zhou et al.
Summary of Trol: Traversal Of Layers For Large Language and Vision Models, by Byung-kwan Lee et al.
Summary of Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning, by Chenyuan Wu et al.