Paper List

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Summary of Challenges and Considerations in the Evaluation Of Bayesian Causal Discovery, by Amir Mohammad Karimi Mamaghan et al.
Summary of Inferring the Time-varying Coupling Of Dynamical Systems with Temporal Convolutional Autoencoders, by Josuan Calderon and Gordon J. Berman
Summary of Choice Of Peft Technique in Continual Learning: Prompt Tuning Is Not All You Need, by Martin Wistuba and Prabhu Teja Sivaprasad and Lukas Balles and Giovanni Zappella
Summary of Global Clipper: Enhancing Safety and Reliability Of Transformer-based Object Detection Models, by Qutub Syed Sha et al.
Summary of Residual Connections and Normalization Can Provably Prevent Oversmoothing in Gnns, by Michael Scholkemper et al.
Summary of Tensor Polynomial Additive Model, by Yang Chen et al.
Summary of Quantifying Task Priority For Multi-task Optimization, by Wooseong Jeong et al.
Summary of From Tarzan to Tolkien: Controlling the Language Proficiency Level Of Llms For Content Generation, by Ali Malik et al.
Summary of Badagent: Inserting and Activating Backdoor Attacks in Llm Agents, by Yifei Wang et al.
Summary of Optimal Multi-fidelity Best-arm Identification, by Riccardo Poiani et al.
Summary of Population Transformer: Learning Population-level Representations Of Neural Activity, by Geeling Chau et al.
Summary of Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks Via Node Injections, by Zihan Luo et al.
Summary of Efficient Exploration Of the Rashomon Set Of Rule Set Models, by Martino Ciaperoni et al.
Summary of Bws: Best Window Selection Based on Sample Scores For Data Pruning Across Broad Ranges, by Hoyong Choi et al.
Summary of Path-specific Causal Reasoning For Fairness-aware Cognitive Diagnosis, by Dacao Zhang et al.
Summary of Decision Boundary-aware Knowledge Consolidation Generates Better Instance-incremental Learner, by Qiang Nie et al.
Summary of Predicting Unobserved Climate Time Series Data at Distant Areas Via Spatial Correlation Using Reservoir Computing, by Shihori Koyama et al.
Summary of Distributional Associations Vs In-context Reasoning: a Study Of Feed-forward and Attention Layers, by Lei Chen et al.
Summary of Local to Global: Learning Dynamics and Effect Of Initialization For Transformers, by Ashok Vardhan Makkuva et al.
Summary of Towards Federated Domain Unlearning: Verification Methodologies and Challenges, by Kahou Tam et al.
Summary of Learning Solutions Of Stochastic Optimization Problems with Bayesian Neural Networks, by Alan A. Lahoud et al.
Summary of Exploring User Retrieval Integration Towards Large Language Models For Cross-domain Sequential Recommendation, by Tingjia Shen et al.
Summary of Egosurgery-tool: a Dataset Of Surgical Tool and Hand Detection From Egocentric Open Surgery Videos, by Ryo Fujii and Hideo Saito and Hiroki Kajita
Summary of Enhancing the Resilience Of Graph Neural Networks to Topological Perturbations in Sparse Graphs, by Shuqi He et al.
Summary of Exact Conversion Of In-context Learning to Model Weights in Linearized-attention Transformers, by Brian K Chen et al.
Summary of Combinatorial Optimization with Automated Graph Neural Networks, by Yang Liu et al.
Summary of Prediction-powered Generalization Of Causal Inferences, by Ilker Demirel et al.
Summary of Leveraging Kans For Enhanced Deep Koopman Operator Discovery, by George Nehma et al.
Summary of Nonlinear Transformations Against Unlearnable Datasets, by Thushari Hapuarachchi et al.
Summary of Fedstaleweight: Buffered Asynchronous Federated Learning with Fair Aggregation Via Staleness Reweighting, by Jeffrey Ma et al.
Summary of Scaling Laws For Reward Model Overoptimization in Direct Alignment Algorithms, by Rafael Rafailov et al.
Summary of Hydra: Model Factorization Framework For Black-box Llm Personalization, by Yuchen Zhuang et al.
Summary of Zeroth-order Fine-tuning Of Llms with Extreme Sparsity, by Wentao Guo et al.
Summary of Visual-text Cross Alignment: Refining the Similarity Score in Vision-language Models, by Jinhao Li et al.
Summary of A Comprehensive and Fair Comparison Between Mlp and Kan Representations For Differential Equations and Operator Networks, by Khemraj Shukla et al.
Summary of Text Injection For Neural Contextual Biasing, by Zhong Meng et al.
Summary of Pruner-zero: Evolving Symbolic Pruning Metric From Scratch For Large Language Models, by Peijie Dong and Lujun Li and Zhenheng Tang and Xiang Liu and Xinglin Pan and Qiang Wang and Xiaowen Chu
Summary of Zerodiff: Solidified Visual-semantic Correlation in Zero-shot Learning, by Zihan Ye et al.
Summary of Graphalign: Pretraining One Graph Neural Network on Multiple Graphs Via Feature Alignment, by Zhenyu Hou et al.
Summary of Pre-text: Training Language Models on Private Federated Data in the Age Of Llms, by Charlie Hou et al.
Summary of Adversarial Moment-matching Distillation Of Large Language Models, by Chen Jia
Summary of Filtered Not Mixed: Stochastic Filtering-based Online Gating For Mixture Of Large Language Models, by Raeid Saqur et al.
Summary of Efficient User Sequence Learning For Online Services Via Compressed Graph Neural Networks, by Yucheng Wu et al.
Summary of Local Vs. Global Interpretability: a Computational Complexity Perspective, by Shahaf Bassan et al.
Summary of Aligning Large Language Models Via Fine-grained Supervision, by Dehong Xu et al.
Summary of Multi-layer Learnable Attention Mask For Multimodal Tasks, by Wayner Barrios and Souyoung Jin
Summary of Adaptive Preference Scaling For Reinforcement Learning with Human Feedback, by Ilgee Hong et al.
Summary of Precise Asymptotics Of Reweighted Least-squares Algorithms For Linear Diagonal Networks, by Chiraag Kaushik et al.
Summary of Short-term Inland Vessel Trajectory Prediction with Encoder-decoder Models, by Kathrin Donandt et al.
Summary of Improved Context-sensitive Transformer Model For Inland Vessel Trajectory Prediction, by Kathrin Donandt et al.
Summary of Hyperbolic Benchmarking Unveils Network Topology-feature Relationship in Gnn Performance, by Roya Aliakbarisani et al.
Summary of Cyclic Sparse Training: Is It Enough?, by Advait Gadhikar et al.
Summary of Diagnostic Digital Twin For Anomaly Detection in Floating Offshore Wind Energy, by Florian Stadtmann et al.
Summary of Disentangling Logic: the Role Of Context in Large Language Model Reasoning Capabilities, by Wenyue Hua et al.
Summary of Ladi V2: Multi-label Dataset and Classifiers For Low-altitude Disaster Imagery, by Samuel Scheele et al.
Summary of Ms-imap — a Multi-scale Graph Embedding Approach For Interpretable Manifold Learning, by Shay Deutsch et al.
Summary of Building Socially-equitable Public Models, by Yejia Liu et al.
Summary of Randomized Geometric Algebra Methods For Convex Neural Networks, by Yifei Wang et al.
Summary of Oracle: Leveraging Mutual Information For Consistent Character Generation with Loras in Diffusion Models, by Kiymet Akdemir and Pinar Yanardag
Summary of Stochastic Diffusion: a Diffusion Probabilistic Model For Stochastic Time Series Forecasting, by Yuansan Liu et al.
Summary of Efficient Minimum Bayes Risk Decoding Using Low-rank Matrix Completion Algorithms, by Firas Trabelsi and David Vilar and Mara Finkelstein and Markus Freitag
Summary of Exploring Robustness in Doctor-patient Conversation Summarization: An Analysis Of Out-of-domain Soap Notes, by Yu-wen Chen et al.
Summary of Oscillations Enhance Time-series Prediction in Reservoir Computing with Feedback, by Yuji Kawai and Takashi Morita and Jihoon Park and Minoru Asada
Summary of You Only Accept Samples Once: Fast, Self-correcting Stochastic Variational Inference, by Dominic B. Dayta
Summary of Adaptive Layer Splitting For Wireless Llm Inference in Edge Computing: a Model-based Reinforcement Learning Approach, by Yuxuan Chen et al.
Summary of Progressive Inference: Explaining Decoder-only Sequence Classification Models Using Intermediate Predictions, by Sanjay Kariyappa et al.
Summary of Replicability in High Dimensional Statistics, by Max Hopkins et al.
Summary of Evidentially Calibrated Source-free Time-series Domain Adaptation with Temporal Imputation, by Mohamed Ragab et al.
Summary of Echomamba4rec: Harmonizing Bidirectional State Space Models with Spectral Filtering For Advanced Sequential Recommendation, by Yuda Wang and Xuxin He and Shengxin Zhu
Summary of Exploring Effects Of Hyperdimensional Vectors For Tsetlin Machines, by Vojtech Halenka and Ahmed K. Kadhim and Paul F. A. Clarke and Bimal Bhattarai and Rupsa Saha and Ole-christoffer Granmo and Lei Jiao and Per-arne Andersen
Summary of E-icl: Enhancing Fine-grained Emotion Recognition Through the Lens Of Prototype Theory, by Zhaochun Ren et al.
Summary of by Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning, By Michael Schlechtinger et al.
Summary of Routeplacer: An End-to-end Routability-aware Placer with Graph Neural Network, by Yunbo Hou et al.
Summary of Block Transformer: Global-to-local Language Modeling For Fast Inference, by Namgyu Ho et al.
Summary of Demystifying Spectral Bias on Real-world Data, by Itay Lavie and Zohar Ringel
Summary of Iqrl — Implicitly Quantized Representations For Sample-efficient Reinforcement Learning, by Aidan Scannell et al.
Summary of Operational Latent Spaces, by Scott H. Hawley and Austin R. Tackett
Summary of Window to Wall Ratio Detection Using Segformer, by Zoe De Simone et al.
Summary of Gefl: Extended Filtration Learning For Graph Classification, by Simon Zhang et al.
Summary of Self-trained Model For Ecg Complex Delineation, by Aram Avetisyan et al.
Summary of Temporal Graph Learning Recurrent Neural Network For Traffic Forecasting, by Sanghyun Lee et al.
Summary of Synthetic Data Outliers: Navigating Identity Disclosure, by Carolina Trindade et al.
Summary of Measuring Stochastic Data Complexity with Boltzmann Influence Functions, by Nathan Ng and Roger Grosse and Marzyeh Ghassemi
Summary of Long Range Propagation on Continuous-time Dynamic Graphs, by Alessio Gravina et al.
Summary of Exploring the Potential Of Polynomial Basis Functions in Kolmogorov-arnold Networks: a Comparative Study Of Different Groups Of Polynomials, by Seyd Teymoor Seydi
Summary of A Scoping Review Of Earth Observation and Machine Learning For Causal Inference: Implications For the Geography Of Poverty, by Kazuki Sakamoto et al.
Summary of Contextual Counting: a Mechanistic Study Of Transformers on a Quantitative Task, by Siavash Golkar et al.
Summary of Capturing Climatic Variability: Using Deep Learning For Stochastic Downscaling, by Kiri Daust and Adam Monahan
Summary of Unveiling the Potential Of Ai For Nanomaterial Morphology Prediction, by Ivan Dubrovsky et al.
Summary of Lolameme: Logic, Language, Memory, Mechanistic Framework, by Jay Desai et al.
Summary of Graph Neural Networks For Brain Graph Learning: a Survey, by Xuexiong Luo et al.
Summary of Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks, by Hojoon Lee et al.
Summary of Cono: Complex Neural Operator For Continous Dynamical Physical Systems, by Karn Tiwari et al.
Summary of Towards Learning Foundation Models For Heuristic Functions to Solve Pathfinding Problems, by Vedant Khandelwal et al.
Summary of Data Quality in Edge Machine Learning: a State-of-the-art Survey, by Mohammed Djameleddine Belgoumri et al.
Summary of Multimodal Deep Learning For Low-resource Settings: a Vector Embedding Alignment Approach For Healthcare Applications, by David Restrepo et al.
Summary of D-fast: Cognitive Signal Decoding with Disentangled Frequency-spatial-temporal Attention, by Weiguo Chen and Changjian Wang and Kele Xu and Yuan Yuan and Yanru Bai and Dongsong Zhang
Summary of Gated Recurrent Neural Network with Tpe Bayesian Optimization For Enhancing Stock Index Prediction Accuracy, by Bivas Dinda
Summary of Less Is More: Pseudo-label Filtering For Continual Test-time Adaptation, by Jiayao Tan et al.
Summary of Is Data Valuation Learnable and Interpretable?, by Ou Wu et al.