Paper List

We recommend you use the search box as this list is very long.

Summary of Text-free Multi-domain Graph Pre-training: Toward Graph Foundation Models, by Xingtong Yu et al.
Summary of Node-time Conditional Prompt Learning in Dynamic Graphs, by Xingtong Yu et al.
Summary of Exmy: a Data Type and Technique For Arbitrary Bit Precision Quantization, by Aditya Agrawal and Matthew Hedlund and Blake Hechtman
Summary of Leader Reward For Pomo-based Neural Combinatorial Optimization, by Chaoyang Wang et al.
Summary of Exact Gradients For Stochastic Spiking Neural Networks Driven by Rough Signals, By Christian Holberg et al.
Summary of Logrca: Log-based Root Cause Analysis For Distributed Services, by Thorsten Wittkopp et al.
Summary of Cotet: Cross-view Optimal Transport For Knowledge Graph Entity Typing, by Zhiwei Hu et al.
Summary of Maximum Entropy Reinforcement Learning Via Energy-based Normalizing Flow, by Chen-hao Chao et al.
Summary of Task Agnostic Continual Learning with Pairwise Layer Architecture, by Santtu Keskinen
Summary of Curriculum Direct Preference Optimization For Diffusion and Consistency Models, by Florinel-alin Croitoru et al.
Summary of On Hardware-efficient Inference in Probabilistic Circuits, by Lingyun Yao et al.
Summary of Knowledge Graph Reasoning with Self-supervised Reinforcement Learning, by Ying Ma et al.
Summary of A Transformer Variant For Multi-step Forecasting Of Water Level and Hydrometeorological Sensitivity Analysis Based on Explainable Artificial Intelligence Technology, by Mingyu Liu et al.
Summary of Generalization Bounds For Dependent Data Using Online-to-batch Conversion, by Sagnik Chatterjee et al.
Summary of Naturally Private Recommendations with Determinantal Point Processes, by Jack Fitzsimons et al.
Summary of Unified Universality Theorem For Deep and Shallow Joint-group-equivariant Machines, by Sho Sonoda et al.
Summary of Challenging Gradient Boosted Decision Trees with Tabular Transformers For Fraud Detection at Booking.com, by Sergei Krutikov (1) et al.
Summary of Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing, by Jose M. Alvarez et al.
Summary of How to Set Adamw’s Weight Decay As You Scale Model and Dataset Size, by Xi Wang et al.
Summary of Uncertainty-aware Evaluation Of Auxiliary Anomalies with the Expected Anomaly Posterior, by Lorenzo Perini et al.
Summary of Rethinking and Accelerating Graph Condensation: a Training-free Approach with Class Partition, by Xinyi Gao et al.
Summary of Next-token Prediction Capacity: General Upper Bounds and a Lower Bound For Transformers, by Liam Madden et al.
Summary of Vae-var: Variational-autoencoder-enhanced Variational Assimilation, by Yi Xiao et al.
Summary of Connectivity Shapes Implicit Regularization in Matrix Factorization Models For Matrix Completion, by Zhiwei Bai et al.
Summary of Score-based Generative Models with Adaptive Momentum, by Ziqing Wen et al.
Summary of Combostoc: Combinatorial Stochasticity For Diffusion Generative Models, by Rui Xu et al.
Summary of Control, Transport and Sampling: Towards Better Loss Design, by Qijia Jiang et al.
Summary of Interpolation with Deep Neural Networks with Non-polynomial Activations: Necessary and Sufficient Numbers Of Neurons, by Liam Madden
Summary of Cg-fedllm: How to Compress Gradients in Federated Fune-tuning For Large Language Models, by Huiwen Wu et al.
Summary of Counterfactual Gradients-based Quantification Of Prediction Trust in Neural Networks, by Mohit Prabhushankar and Ghassan Alregib
Summary of Enhancing Multiscale Simulations with Constitutive Relations-aware Deep Operator Networks, by Hamidreza Eivazi et al.
Summary of Offline Rl Via Feature-occupancy Gradient Ascent, by Gergely Neu et al.
Summary of A Versatile Diffusion Transformer with Mixture Of Noise Levels For Audiovisual Generation, by Gwanghyun Kim et al.
Summary of Banded Square Root Matrix Factorization For Differentially Private Model Training, by Nikita P. Kalinin et al.
Summary of On the Stability Of Gradient Descent with Second Order Dynamics For Time-varying Cost Functions, by Travis E. Gibson et al.
Summary of Efficient Two-stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling, by Shifan Zhao and Jiaying Lu and Ji Yang (carl) and Edmond Chow and Yuanzhe Xi
Summary of Robust Disaster Assessment From Aerial Imagery Using Text-to-image Synthetic Data, by Tarun Kalluri et al.
Summary of Disentangle Sample Size and Initialization Effect on Perfect Generalization For Single-neuron Target, by Jiajie Zhao et al.
Summary of Multi-type Point Cloud Autoencoder: a Complete Equivariant Embedding For Molecule Conformation and Pose, by Michael Kilgour et al.
Summary of Generalizing Weather Forecast to Fine-grained Temporal Scales Via Physics-ai Hybrid Modeling, by Wanghan Xu et al.
Summary of Conditioning Diffusion Models by Explicit Forward-backward Bridging, By Adrien Corenflos et al.
Summary of Advancing Graph Convolutional Networks Via General Spectral Wavelets, by Nian Liu et al.
Summary of Leveraging 2d Information For Long-term Time Series Forecasting with Vanilla Transformers, by Xin Cheng et al.
Summary of Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform, by Noam Koren and Kira Radinsky
Summary of Fine-tuned In-context Learning Transformers Are Excellent Tabular Data Classifiers, by Felix Den Breejen et al.
Summary of Task-agnostic Decision Transformer For Multi-type Agent Control with Federated Split Training, by Zhiyuan Wang et al.
Summary of Adaptive Fuzzy C-means with Graph Embedding, by Qiang Chen et al.
Summary of Input Guided Multiple Deconstruction Single Reconstruction Neural Network Models For Matrix Factorization, by Prasun Dutta and Rajat K.de
Summary of A Huber Loss Minimization Approach to Mean Estimation Under User-level Differential Privacy, by Puning Zhao et al.
Summary of Deep Linear Networks For Regression Are Implicitly Regularized Towards Flat Minima, by Pierre Marion et al.
Summary of Why Do Explanations Fail? a Typology and Discussion on Failures in Xai, by Clara Bove et al.
Summary of Locally Private Estimation with Public Features, by Yuheng Ma and Ke Jia and Hanfang Yang
Summary of Lire: Listwise Reward Enhancement For Preference Alignment, by Mingye Zhu et al.
Summary of Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues, by Zhijian Xu et al.
Summary of Understanding Virtual Nodes: Oversquashing and Node Heterogeneity, by Joshua Southern et al.
Summary of Generalized Laplace Approximation, by Yinsong Chen et al.
Summary of Attention Mechanisms Don’t Learn Additive Models: Rethinking Feature Importance For Transformers, by Tobias Leemann et al.
Summary of Annotation-efficient Preference Optimization For Language Model Alignment, by Yuu Jinnai et al.
Summary of Large Language Models Are Effective Priors For Causal Graph Discovery, by Victor-alexandru Darvariu et al.
Summary of Motioncraft: Physics-based Zero-shot Video Generation, by Luca Savant Aira et al.
Summary of Emulating Full Client Participation: a Long-term Client Selection Strategy For Federated Learning, by Qingming Li et al.
Summary of Bond Graphs For Multi-physics Informed Neural Networks For Multi-variate Time Series, by Alexis-raja Brachet et al.
Summary of Unlocking the Power Of Patch: Patch-based Mlp For Long-term Time Series Forecasting, by Peiwang Tang and Weitai Zhang
Summary of Almost Sure Convergence Rates Of Stochastic Gradient Methods Under Gradient Domination, by Simon Weissmann et al.
Summary of Remarks on Loss Function Of Threshold Method For Ordinal Regression Problem, by Ryoya Yamasaki and Toshiyuki Tanaka
Summary of Faith: Frequency-domain Attention in Two Horizons For Time Series Forecasting, by Ruiqi Li et al.
Summary of Theoretical Analysis Of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees, by Cangqing Wang et al.
Summary of Accelerated Evaluation Of Ollivier-ricci Curvature Lower Bounds: Bridging Theory and Computation, by Wonwoo Kang et al.
Summary of ”you Should Probably Read This”: Hedge Detection in Text, by Denys Katerenchuk and Rivka Levitan
Summary of Adversarial Training Via Adaptive Knowledge Amalgamation Of An Ensemble Of Teachers, by Shayan Mohajer Hamidi et al.
Summary of Time-series Forecasting and Sequence Learning Using Memristor-based Reservoir System, by Abdullah M. Zyarah and Dhireesha Kudithipudi
Summary of Efficacy Of Byt5 in Multilingual Translation Of Biblical Texts For Underrepresented Languages, by Corinne Aars et al.
Summary of On the Challenges Of Creating Datasets For Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity, by Pablo Rivas et al.
Summary of How to Trace Latent Generative Model Generated Images Without Artificial Watermark?, by Zhenting Wang et al.
Summary of Communication-efficient Federated Learning Via Clipped Uniform Quantization, by Zavareh Bozorgasl and Hao Chen
Summary of Adaptive Data Analysis For Growing Data, by Neil G. Marchant and Benjamin I. P. Rubinstein
Summary of Ada-hgnn: Adaptive Sampling For Scalable Hypergraph Neural Networks, by Shuai Wang et al.
Summary of Fedcache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation, by Quyang Pan et al.
Summary of Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-price Auctions For Enhanced Ad Ranking and Bidding, by Chang Zhou et al.
Summary of Gradient Projection For Continual Parameter-efficient Tuning, by Jingyang Qiao and Zhizhong Zhang and Xin Tan and Yanyun Qu and Wensheng Zhang and Zhi Han and Yuan Xie
Summary of Convergence Analysis Of Kernel Learning Fbsde Filter, by Yunzheng Lyu et al.
Summary of Local Convergence Of Simultaneous Min-max Algorithms to Differential Equilibrium on Riemannian Manifold, by Sixin Zhang
Summary of Nfcl: Simply Interpretable Neural Networks For a Short-term Multivariate Forecasting, by Wonkeun Jo et al.
Summary of Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections, by Sahil Rajesh Dhayalkar
Summary of Reallm: a General Framework For Llm Compression and Fine-tuning, by Louis Leconte et al.
Summary of Data-driven Dro and Economic Decision Theory: An Analytical Synthesis with Bayesian Nonparametric Advancements, by Nicola Bariletto et al.
Summary of Efficient and Interpretable Information Retrieval For Product Question Answering with Heterogeneous Data, by Biplob Biswas et al.
Summary of Comparative Analysis Of Different Efficient Fine Tuning Methods Of Large Language Models (llms) in Low-resource Setting, by Krishna Prasad Varadarajan Srinivasan et al.
Summary of A Machine Learning Framework For Interpretable Predictions in Patient Pathways: the Case Of Predicting Icu Admission For Patients with Symptoms Of Sepsis, by Sandra Zilker et al.
Summary of Pragmatic Auditing: a Pilot-driven Approach For Auditing Machine Learning Systems, by Djalel Benbouzid et al.
Summary of Interpretable Spatio-temporal Embedding For Brain Structural-effective Network with Ordinary Differential Equation, by Haoteng Tang et al.
Summary of Efficient Imitation Learning with Conservative World Models, by Victor Kolev et al.
Summary of Empowering Urban Traffic Management: Elevated 3d Lidar For Data Collection and Advanced Object Detection Analysis, by Nawfal Guefrachi et al.
Summary of Multi-agent Reinforcement Learning with Hierarchical Coordination For Emergency Responder Stationing, by Amutheezan Sivagnanam et al.
Summary of Modeling Real-time Interactive Conversations As Timed Diarized Transcripts, by Garrett Tanzer et al.
Summary of Investigating Symbolic Capabilities Of Large Language Models, by Neisarg Dave et al.
Summary of Interactive Simulations Of Backdoors in Neural Networks, by Peter Bajcsy and Maxime Bros
Summary of Paired Autoencoders For Likelihood-free Estimation in Inverse Problems, by Matthias Chung and Emma Hart and Julianne Chung and Bas Peters and Eldad Haber
Summary of Dataset Decomposition: Faster Llm Training with Variable Sequence Length Curriculum, by Hadi Pouransari et al.
Summary of A Rapid Approach to Urban Traffic Noise Mapping with a Generative Adversarial Network, by Xinhao Yang et al.