Paper List

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Summary of The Polynomial Stein Discrepancy For Assessing Moment Convergence, by Narayan Srinivasan et al.
Summary of Explingo: Explaining Ai Predictions Using Large Language Models, by Alexandra Zytek et al.
Summary of Effective Rank and the Staircase Phenomenon: New Insights Into Neural Network Training Dynamics, by Jiang Yang et al.
Summary of Lora.rar: Learning to Merge Loras Via Hypernetworks For Subject-style Conditioned Image Generation, by Donald Shenaj et al.
Summary of Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins Via Detection to Mitigation, by David Steinmann et al.
Summary of A Text-to-tabular Approach to Generate Synthetic Patient Data Using Llms, by Margaux Tornqvist et al.
Summary of Towards Understanding the Role Of Sharpness-aware Minimization Algorithms For Out-of-distribution Generalization, by Samuel Schapiro et al.
Summary of Slicing Vision Transformer For Flexible Inference, by Yitian Zhang et al.
Summary of Direct Quantized Training Of Language Models with Stochastic Rounding, by Kaiyan Zhao et al.
Summary of Rethinking Time Series Forecasting with Llms Via Nearest Neighbor Contrastive Learning, by Jayanie Bogahawatte et al.
Summary of Ccs: Continuous Learning For Customized Incremental Wireless Sensing Services, by Qunhang Fu et al.
Summary of Using Machine Learning to Discover Parsimonious and Physically-interpretable Representations Of Catchment-scale Rainfall-runoff Dynamics, by Yuan-heng Wang et al.
Summary of Wavelet Diffusion Neural Operator, by Peiyan Hu et al.
Summary of Expath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules, by Ye Sun et al.
Summary of Nonmyopic Global Optimisation Via Approximate Dynamic Programming, by Filippo Airaldi et al.
Summary of Msecg: Incorporating Mamba For Robust and Efficient Ecg Super-resolution, by Jie Lin et al.
Summary of Ai-driven Non-invasive Detection and Staging Of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques, by Niloufar Delfan et al.
Summary of Eaco: Enhancing Alignment in Multimodal Llms Via Critical Observation, by Yongxin Wang et al.
Summary of Mitigating Instance-dependent Label Noise: Integrating Self-supervised Pretraining with Pseudo-label Refinement, by Gouranga Bala et al.
Summary of Demo: Reframing Dialogue Interaction with Fine-grained Element Modeling, by Minzheng Wang et al.
Summary of Learning High-degree Parities: the Crucial Role Of the Initialization, by Emmanuel Abbe et al.
Summary of Continuous Video Process: Modeling Videos As Continuous Multi-dimensional Processes For Video Prediction, by Gaurav Shrivastava et al.
Summary of Achieving Group Fairness Through Independence in Predictive Process Monitoring, by Jari Peeperkorn and Simon De Vos
Summary of Video Decomposition Prior: a Methodology to Decompose Videos Into Layers, by Gaurav Shrivastava et al.
Summary of Probing the Contents Of Semantic Representations From Text, Behavior, and Brain Data Using the Psychnorms Metabase, by Zak Hussain et al.
Summary of Hola: Hololens Object Labeling, by Michael Schwimmbeck et al.
Summary of Bed-attached Vibration Sensor System: a Machine Learning Approach For Fall Detection in Nursing Homes, by Thomas Bartz-beielstein et al.
Summary of Zephyr Quantum-assisted Hierarchical Calo4pqvae For Particle-calorimeter Interactions, by Ian Lu et al.
Summary of Two Stages Domain Invariant Representation Learners Solve the Large Co-variate Shift in Unsupervised Domain Adaptation with Two Dimensional Data Domains, by Hisashi Oshima et al.
Summary of Smoothie: Label Free Language Model Routing, by Neel Guha et al.
Summary of Transformers Struggle to Learn to Search, by Abulhair Saparov et al.
Summary of Generative Humanization For Therapeutic Antibodies, by Cade Gordon et al.
Summary of An Experimental Evaluation Of Imputation Models For Spatial-temporal Traffic Data, by Shengnan Guo et al.
Summary of Machine Learning Algorithms to Predict the Risk Of Rupture Of Intracranial Aneurysms: a Systematic Review, by Karan Daga et al.
Summary of Gabar: Graph Attention-based Action Ranking For Relational Policy Learning, by Rajesh Mangannavar et al.
Summary of Dhil-gt: Scalable Graph Transformer with Decoupled Hierarchy Labeling, by Ningyi Liao et al.
Summary of Latent Space Characterization Of Autoencoder Variants, by Anika Shrivastava et al.
Summary of Ltri-llm: Streaming Long Context Inference For Llms with Training-free Dynamic Triangular Attention Pattern, by Hongyin Tang et al.
Summary of Towards Counterfactual Fairness Through Auxiliary Variables, by Bowei Tian et al.
Summary of Measuring Goal-directedness, by Matt Macdermott et al.
Summary of Short-term Streamflow and Flood Forecasting Based on Graph Convolutional Recurrent Neural Network and Residual Error Learning, by Xiyu Pan et al.
Summary of A Temporally Correlated Latent Exploration For Reinforcement Learning, by Sumin Oh et al.
Summary of Iterl2norm: Fast Iterative L2-normalization, by Changmin Ye et al.
Summary of Anomaly Detection and Classification in Knowledge Graphs, by Asara Senaratne et al.
Summary of Dpgiil: Dirichlet Process-deep Generative Model-integrated Incremental Learning For Clustering in Transmissibility-based Online Structural Anomaly Detection, by Lin-feng Mei and Wang-ji Yan
Summary of Nlp-adbench: Nlp Anomaly Detection Benchmark, by Yuangang Li et al.
Summary of Differentially Private Random Feature Model, by Chunyang Liao et al.
Summary of Feddw: Distilling Weights Through Consistency Optimization in Heterogeneous Federated Learning, by Jiayu Liu et al.
Summary of Leveraging Multimodal Protein Representations to Predict Protein Melting Temperatures, by Daiheng Zhang and Yan Zeng and Xinyu Hong and Jinbo Xu
Summary of Magebench: Bridging Large Multimodal Models to Agents, by Miaosen Zhang et al.
Summary of Wintsr: a Windowed Temporal Saliency Rescaling Method For Interpreting Time Series Deep Learning Models, by Md. Khairul Islam et al.
Summary of Understanding Hidden Computations in Chain-of-thought Reasoning, by Aryasomayajula Ram Bharadwaj
Summary of Communication Compression For Distributed Learning Without Control Variates, by Tomas Ortega et al.
Summary of Solving High-dimensional Inverse Problems Using Amortized Likelihood-free Inference with Noisy and Incomplete Data, by Jice Zeng et al.
Summary of Data-driven, Parameterized Reduced-order Models For Predicting Distortion in Metal 3d Printing, by Indu Kant Deo et al.
Summary of Loss Terms and Operator Forms Of Koopman Autoencoders, by Dustin Enyeart and Guang Lin
Summary of Learning Symmetries Via Weight-sharing with Doubly Stochastic Tensors, by Putri A. Van Der Linden et al.
Summary of Nonlinear Operator Learning Using Energy Minimization and Mlps, by Mats G. Larson et al.
Summary of Sometimes I Am a Tree: Data Drives Unstable Hierarchical Generalization, by Tian Qin et al.
Summary of Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts, by Jiahai Feng et al.
Summary of Bigdocs: An Open Dataset For Training Multimodal Models on Document and Code Tasks, by Juan Rodriguez et al.
Summary of Swepo: Simultaneous Weighted Preference Optimization For Group Contrastive Alignment, by Taneesh Gupta et al.
Summary of Disentangled Representation Learning For Causal Inference with Instruments, by Debo Cheng (1) et al.
Summary of Improving Llm Group Fairness on Tabular Data Via In-context Learning, by Valeriia Cherepanova et al.
Summary of One Communication Round Is All It Needs For Federated Fine-tuning Foundation Models, by Ziyao Wang et al.
Summary of Hidden in the Noise: Two-stage Robust Watermarking For Images, by Kasra Arabi et al.
Summary of Fully Distributed, Flexible Compositional Visual Representations Via Soft Tensor Products, by Bethia Sun et al.
Summary of Complexity Of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization, by Matan Schliserman and Tomer Koren
Summary of Deep Causal Inference For Point-referenced Spatial Data with Continuous Treatments, by Ziyang Jiang et al.
Summary of Alma: Alignment with Minimal Annotation, by Michihiro Yasunaga et al.
Summary of Gram: Generalization in Deep Rl with a Robust Adaptation Module, by James Queeney et al.
Summary of Action Mapping For Reinforcement Learning in Continuous Environments with Constraints, by Mirco Theile et al.
Summary of Distributionally Robust Performative Prediction, by Songkai Xue et al.
Summary of Actfusion: a Unified Diffusion Model For Action Segmentation and Anticipation, by Dayoung Gong et al.
Summary of Machine Theory Of Mind For Autonomous Cyber-defence, by Luke Swaby et al.
Summary of Finer Behavioral Foundation Models Via Auto-regressive Features and Advantage Weighting, by Edoardo Cetin et al.
Summary of Embodiedocc: Embodied 3d Occupancy Prediction For Vision-based Online Scene Understanding, by Yuqi Wu et al.
Summary of Gaussianformer-2: Probabilistic Gaussian Superposition For Efficient 3d Occupancy Prediction, by Yuanhui Huang et al.
Summary of Federated Automated Feature Engineering, by Tom Overman et al.
Summary of Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis, by Anshul Thakur et al.
Summary of Feddual: a Dual-strategy with Adaptive Loss and Dynamic Aggregation For Mitigating Data Heterogeneity in Federated Learning, by Pranab Sahoo et al.
Summary of Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy, by Keru Chen et al.
Summary of Grounding Descriptions in Images Informs Zero-shot Visual Recognition, by Shaunak Halbe et al.
Summary of Multi-bin Batching For Increasing Llm Inference Throughput, by Ozgur Guldogan et al.
Summary of Visionzip: Longer Is Better but Not Necessary in Vision Language Models, by Senqiao Yang et al.
Summary of Prompting Large Language Models For Clinical Temporal Relation Extraction, by Jianping He et al.
Summary of Arctic-embed 2.0: Multilingual Retrieval Without Compromise, by Puxuan Yu and Luke Merrick and Gaurav Nuti and Daniel Campos
Summary of Mind the Gap: Towards Generalizable Autonomous Penetration Testing Via Domain Randomization and Meta-reinforcement Learning, by Shicheng Zhou et al.
Summary of Federated Learning in Mobile Networks: a Comprehensive Case Study on Traffic Forecasting, by Nikolaos Pavlidis et al.
Summary of Learnable Similarity and Dissimilarity Guided Symmetric Non-negative Matrix Factorization, by Wenlong Lyu and Yuheng Jia
Summary of Hyperflint: Hypernetwork-based Flow Estimation and Temporal Interpolation For Scientific Ensemble Visualization, by Hamid Gadirov et al.
Summary of Deepfea: Deep Learning For Prediction Of Transient Finite Element Analysis Solutions, by Georgios Triantafyllou et al.
Summary of Text Change Detection in Multilingual Documents Using Image Comparison, by Doyoung Park et al.
Summary of Compositional Generative Multiphysics and Multi-component Simulation, by Tao Zhang et al.
Summary of Multitasc++: a Continuously Adaptive Scheduler For Edge-based Multi-device Cascade Inference, by Sokratis Nikolaidis et al.
Summary of Understanding Memorization in Generative Models Via Sharpness in Probability Landscapes, by Dongjae Jeon et al.
Summary of Lossval: Efficient Data Valuation For Neural Networks, by Tim Wibiral et al.
Summary of An In-depth Examination Of Risk Assessment in Multi-class Classification Algorithms, by Disha Ghandwani et al.
Summary of Fixed-mean Gaussian Processes For Post-hoc Bayesian Deep Learning, by Luis A. Ortega et al.
Summary of Skim: Any-bit Quantization Pushing the Limits Of Post-training Quantization, by Runsheng Bai et al.