Paper List

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Summary of System Safety Monitoring Of Learned Components Using Temporal Metric Forecasting, by Sepehr Sharifi et al.
Summary of Stochastic Online Conformal Prediction with Semi-bandit Feedback, by Haosen Ge et al.
Summary of Part-based Quantitative Analysis For Heatmaps, by Osman Tursun et al.
Summary of Enhancing Active Learning For Sentinel 2 Imagery Through Contrastive Learning and Uncertainty Estimation, by David Pogorzelski et al.
Summary of Can We Treat Noisy Labels As Accurate?, by Yuxiang Zheng et al.
Summary of Reducing Transformer Key-value Cache Size with Cross-layer Attention, by William Brandon et al.
Summary of News Recommendation with Category Description by a Large Language Model, By Yuki Yada and Hayato Yamana
Summary of A Systematic Analysis on the Temporal Generalization Of Language Models in Social Media, by Asahi Ushio et al.
Summary of The Evolution Of Darija Open Dataset: Introducing Version 2, by Aissam Outchakoucht et al.
Summary of A Robust Autoencoder Ensemble-based Approach For Anomaly Detection in Text, by Jeremie Pantin and Christophe Marsala
Summary of Continued Pretraining For Domain Adaptation Of Wav2vec2.0 in Automatic Speech Recognition For Elementary Math Classroom Settings, by Ahmed Adel Attia et al.
Summary of Case-based Reasoning Approach For Solving Financial Question Answering, by Yikyung Kim et al.
Summary of Leapformer: Enabling Linear Transformers For Autoregressive and Simultaneous Tasks Via Learned Proportions, by Victor Agostinelli et al.
Summary of Score-cdm: Score-weighted Convolutional Diffusion Model For Multivariate Time Series Imputation, by S. Zhang et al.
Summary of Exploring Dark Knowledge Under Various Teacher Capacities and Addressing Capacity Mismatch, by Xin-chun Li et al.
Summary of A Survey Of Artificial Intelligence in Gait-based Neurodegenerative Disease Diagnosis, by Haocong Rao et al.
Summary of Combining Relevance and Magnitude For Resource-aware Dnn Pruning, by Carla Fabiana Chiasserini and Francesco Malandrino and Nuria Molner and Zhiqiang Zhao
Summary of Segan: Semi-supervised Learning Approach For Missing Data Imputation, by Xiaohua Pan et al.
Summary of Fedasta: Federated Adaptive Spatial-temporal Attention For Traffic Flow Prediction, by Kaiyuan Li et al.
Summary of Causalplayground: Addressing Data-generation Requirements in Cutting-edge Causality Research, by Andreas W M Sauter et al.
Summary of Graph Neural Networks Informed Locally by Thermodynamics, By Alicia Tierz et al.
Summary of Dataset Mention Extraction in Scientific Articles Using Bi-lstm-crf Model, by Tong Zeng et al.
Summary of Towards Principled, Practical Policy Gradient For Bandits and Tabular Mdps, by Michael Lu et al.
Summary of Gaussian Measures Conditioned on Nonlinear Observations: Consistency, Map Estimators, and Simulation, by Yifan Chen et al.
Summary of Transformer in Touch: a Survey, by Jing Gao et al.
Summary of Blind Separation Of Vibration Sources Using Deep Learning and Deconvolution, by Igor Makienko et al.
Summary of Self-supervised Modality-agnostic Pre-training Of Swin Transformers, by Abhiroop Talasila et al.
Summary of Epanechnikov Variational Autoencoder, by Tian Qin et al.
Summary of Comparing Neighbors Together Makes It Easy: Jointly Comparing Multiple Candidates For Efficient and Effective Retrieval, by Jonghyun Song et al.
Summary of Wav-kan: Wavelet Kolmogorov-arnold Networks, by Zavareh Bozorgasl and Hao Chen
Summary of Fadam: Adam Is a Natural Gradient Optimizer Using Diagonal Empirical Fisher Information, by Dongseong Hwang
Summary of Stochastic Inference Of Plate Bending From Heterogeneous Data: Physics-informed Gaussian Processes Via Kirchhoff-love Theory, by Igor Kavrakov et al.
Summary of Equivariant Spatio-temporal Attentive Graph Networks to Simulate Physical Dynamics, by Liming Wu et al.
Summary of Llm Processes: Numerical Predictive Distributions Conditioned on Natural Language, by James Requeima et al.
Summary of Keep the Momentum: Conservation Laws Beyond Euclidean Gradient Flows, by Sibylle Marcotte et al.
Summary of Topic Classification Of Case Law Using a Large Language Model and a New Taxonomy For Uk Law: Ai Insights Into Summary Judgment, by Holli Sargeant et al.
Summary of Trusting Fair Data: Leveraging Quality in Fairness-driven Data Removal Techniques, by Manh Khoi Duong et al.
Summary of Skin-in-the-game: Decision Making Via Multi-stakeholder Alignment in Llms, by Bilgehan Sel et al.
Summary of Pytorch-wildlife: a Collaborative Deep Learning Framework For Conservation, by Andres Hernandez et al.
Summary of Learning the Infinitesimal Generator Of Stochastic Diffusion Processes, by Vladimir R. Kostic and Karim Lounici and Helene Halconruy and Timothee Devergne and Massimiliano Pontil
Summary of Truncated Variance Reduced Value Iteration, by Yujia Jin et al.
Summary of A Method on Searching Better Activation Functions, by Haoyuan Sun et al.
Summary of Online Learning Of Halfspaces with Massart Noise, by Ilias Diakonikolas et al.
Summary of Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale, by Shriram Chennakesavalu et al.
Summary of Exploring and Exploiting the Asymmetric Valley Of Deep Neural Networks, by Xin-chun Li et al.
Summary of Visualizing, Rethinking, and Mining the Loss Landscape Of Deep Neural Networks, by Xin-chun Li et al.
Summary of Entropystop: Unsupervised Deep Outlier Detection with Loss Entropy, by Yihong Huang et al.
Summary of Mage: Model-level Graph Neural Networks Explanations Via Motif-based Graph Generation, by Zhaoning Yu and Hongyang Gao
Summary of Unleash Graph Neural Networks From Heavy Tuning, by Lequan Lin et al.
Summary of Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models, by Charles O’neill et al.
Summary of Customtext: Customized Textual Image Generation Using Diffusion Models, by Shubham Paliwal et al.
Summary of Uncertainty Quantification by Block Bootstrap For Differentially Private Stochastic Gradient Descent, By Holger Dette et al.
Summary of Maverick-aware Shapley Valuation For Client Selection in Federated Learning, by Mengwei Yang et al.
Summary of Tagengo: a Multilingual Chat Dataset, by Peter Devine
Summary of Learning Causal Dynamics Models in Object-oriented Environments, by Zhongwei Yu et al.
Summary of Multiscale Lubrication Simulation Based on Fourier Feature Networks with Trainable Frequency, by Yihu Tang et al.
Summary of Mitigating Overconfidence in Out-of-distribution Detection by Capturing Extreme Activations, By Mohammad Azizmalayeri et al.
Summary of Multimodal Adaptive Inference For Document Image Classification with Anytime Early Exiting, by Omar Hamed et al.
Summary of Model Free Prediction with Uncertainty Assessment, by Yuling Jiao et al.
Summary of A Masked Semi-supervised Learning Approach For Otago Micro Labels Recognition, by Meng Shang et al.
Summary of Reinforcement Learning Enabled Peer-to-peer Energy Trading For Dairy Farms, by Mian Ibad Ali Shah et al.
Summary of Spo: Multi-dimensional Preference Sequential Alignment with Implicit Reward Modeling, by Xingzhou Lou et al.
Summary of Progress Measures For Grokking on Real-world Tasks, by Satvik Golechha
Summary of Parallel Algorithm For Optimal Threshold Labeling Of Ordinal Regression Methods, by Ryoya Yamasaki and Toshiyuki Tanaka
Summary of Disparisk: Auditing Fairness Through Usable Information, by Jonathan Vasquez et al.
Summary of Investigating the Impact Of Choice on Deep Reinforcement Learning For Space Controls, by Nathaniel Hamilton et al.
Summary of Stochastic Reservoir Computers, by Peter J. Ehlers et al.
Summary of Large Scale Scattering Using Fast Solvers Based on Neural Operators, by Zongren Zou et al.
Summary of Particle Swarm Optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression, by Sisi Shao et al.
Summary of A Metric-based Principal Curve Approach For Learning One-dimensional Manifold, by Eliuvish Cuicizion
Summary of Conformal Counterfactual Inference Under Hidden Confounding, by Zonghao Chen et al.
Summary of Asmr: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference, by Jason Chun Lok Li et al.
Summary of Diffusion For World Modeling: Visual Details Matter in Atari, by Eloi Alonso et al.
Summary of Beyond Calibration: Assessing the Probabilistic Fit Of Neural Regressors Via Conditional Congruence, by Spencer Young et al.
Summary of Geomask3d: Geometrically Informed Mask Selection For Self-supervised Point Cloud Learning in 3d, by Ali Bahri et al.
Summary of Deep Learning Approaches to Indoor Wireless Channel Estimation For Low-power Communication, by Samrah Arif et al.
Summary of A Unified Linear Programming Framework For Offline Reward Learning From Human Demonstrations and Feedback, by Kihyun Kim et al.
Summary of Ffcl: Forward-forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation, by Ali Karkehabadi et al.
Summary of Prompt-based Spatio-temporal Graph Transfer Learning, by Junfeng Hu et al.
Summary of Trajcogn: Leveraging Llms For Cognizing Movement Patterns and Travel Purposes From Trajectories, by Zeyu Zhou et al.
Summary of Enhancing Transformer-based Models For Long Sequence Time Series Forecasting Via Structured Matrix, by Zhicheng Zhang et al.
Summary of A Finite Element-based Physics-informed Operator Learning Framework For Spatiotemporal Partial Differential Equations on Arbitrary Domains, by Yusuke Yamazaki et al.
Summary of How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing, by Keke Huang et al.
Summary of Gase: Graph Attention Sampling with Edges Fusion For Solving Vehicle Routing Problems, by Zhenwei Wang et al.
Summary of Modeling Citation Worthiness by Using Attention-based Bidirectional Long Short-term Memory Networks and Interpretable Models, By Tong Zeng et al.
Summary of Images That Sound: Composing Images and Sounds on a Single Canvas, by Ziyang Chen et al.
Summary of Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search, by Sebastian Bruch et al.
Summary of Adapting Large Multimodal Models to Distribution Shifts: the Role Of In-context Learning, by Guanglin Zhou and Zhongyi Han and Shiming Chen and Biwei Huang and Liming Zhu and Salman Khan and Xin Gao and Lina Yao
Summary of Fast Stochastic Policy Gradient: Negative Momentum For Reinforcement Learning, by Haobin Zhang and Zhuang Yang
Summary of Joint Prediction Regions For Time-series Models, by Eshant English
Summary of Hypergraph: a Unified and Uniform Definition with Application to Chemical Hypergraph and More, by Daniel T. Chang
Summary of Identifying Functionally Important Features with End-to-end Sparse Dictionary Learning, by Dan Braun et al.
Summary of Fully Distributed Fog Load Balancing with Multi-agent Reinforcement Learning, by Maad Ebrahim and Abdelhakim Hafid
Summary of Your Transformer Is Secretly Linear, by Anton Razzhigaev et al.
Summary of Exact: Towards a Platform For Empirically Benchmarking Machine Learning Model Explanation Methods, by Benedict Clark et al.
Summary of Generalization Ability Of Feature-based Performance Prediction Models: a Statistical Analysis Across Benchmarks, by Ana Nikolikj et al.
Summary of Efficient Model-stealing Attacks Against Inductive Graph Neural Networks, by Marcin Podhajski et al.
Summary of Prompt Learning For Generalized Vehicle Routing, by Fei Liu et al.
Summary of Perturbing the Gradient For Alleviating Meta Overfitting, by Manas Gogoi et al.
Summary of Continual Deep Reinforcement Learning For Decentralized Satellite Routing, by Federico Lozano-cuadra et al.