Paper List

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Summary of Beyond Position: the Emergence Of Wavelet-like Properties in Transformers, by Valeria Ruscio et al.
Summary of Pod-attention: Unlocking Full Prefill-decode Overlap For Faster Llm Inference, by Aditya K Kamath et al.
Summary of Training Free Guided Flow Matching with Optimal Control, by Luran Wang et al.
Summary of Petah: Parameter Efficient Task Adaptation For Hybrid Transformers in a Resource-limited Context, by Maximilian Augustin et al.
Summary of Beware Of Calibration Data For Pruning Large Language Models, by Yixin Ji et al.
Summary of Continual Learning on a Data Diet, by Elif Ceren Gok Yildirim et al.
Summary of Visage: Video Synthesis Using Action Graphs For Surgery, by Yousef Yeganeh et al.
Summary of Topology Meets Machine Learning: An Introduction Using the Euler Characteristic Transform, by Bastian Rieck
Summary of Learning Versatile Skills with Curriculum Masking, by Yao Tang et al.
Summary of Anomaly Resilient Temporal Qos Prediction Using Hypergraph Convoluted Transformer Network, by Suraj Kumar et al.
Summary of Escaping the Forest: Sparse Interpretable Neural Networks For Tabular Data, by Salvatore Raieli et al.
Summary of Faster Language Models with Better Multi-token Prediction Using Tensor Decomposition, by Artem Basharin et al.
Summary of Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection, by Charuka Herath et al.
Summary of Small Singular Values Matter: a Random Matrix Analysis Of Transformer Models, by Max Staats et al.
Summary of A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression, by Tin Sum Cheng and Aurelien Lucchi and Anastasis Kratsios and David Belius
Summary of Att2cpc: Attention-guided Lossy Attribute Compression Of Point Clouds, by Kai Liu et al.
Summary of Is the Gpu Half-empty or Half-full? Practical Scheduling Techniques For Llms, by Ferdi Kossmann et al.
Summary of Optimal Streaming Algorithms For Multi-armed Bandits, by Tianyuan Jin et al.
Summary of The Probabilistic Tsetlin Machine: a Novel Approach to Uncertainty Quantification, by K. Darshana Abeyrathna et al.
Summary of Population Stratification For Prediction Of Mortality in Post-aki Patients, by Flavio S. Correa Da Silva et al.
Summary of Relaxed Equivariance Via Multitask Learning, by Ahmed A. Elhag et al.
Summary of Identifiable Representation and Model Learning For Latent Dynamic Systems, by Congxi Zhang et al.
Summary of Adarankgrad: Adaptive Gradient-rank and Moments For Memory-efficient Llms Training and Fine-tuning, by Yehonathan Refael et al.
Summary of Wagle: Strategic Weight Attribution For Effective and Modular Unlearning in Large Language Models, by Jinghan Jia et al.
Summary of Time and Frequency Synergy For Source-free Time-series Domain Adaptations, by Muhammad Tanzil Furqon et al.
Summary of Mobilesafetybench: Evaluating Safety Of Autonomous Agents in Mobile Device Control, by Juyong Lee et al.
Summary of Gdda: Semantic Ood Detection on Graphs Under Covariate Shift Via Score-based Diffusion Models, by Zhixia He and Chen Zhao and Minglai Shao and Yujie Lin and Dong Li and Qin Tian
Summary of Primal-dual Spectral Representation For Off-policy Evaluation, by Yang Hu et al.
Summary of Multimodal Information Bottleneck For Deep Reinforcement Learning with Multiple Sensors, by Bang You et al.
Summary of Predicting 30-day Hospital Readmission in Medicare Patients: Insights From An Lstm Deep Learning Model, by Xintao Li et al.
Summary of Disengcd: a Meta Multigraph-assisted Disentangled Graph Learning Framework For Cognitive Diagnosis, by Shangshang Yang et al.
Summary of Differentially Private Learning Needs Better Model Initialization and Self-distillation, by Ivoline C. Ngong et al.
Summary of Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration, by Xiaohuan Bi et al.
Summary of Adversarial Domain Adaptation For Metal Cutting Sound Detection: Leveraging Abundant Lab Data For Scarce Industry Data, by Mir Imtiaz Mostafiz (1) et al.
Summary of A Kernel Perspective on Distillation-based Collaborative Learning, by Sejun Park et al.
Summary of Self-supervised Graph Neural Networks For Enhanced Feature Extraction in Heterogeneous Information Networks, by Jianjun Wei et al.
Summary of Incremental Learning Of Affordances Using Markov Logic Networks, by George Potter et al.
Summary of Bonsai: Gradient-free Graph Distillation For Node Classification, by Mridul Gupta and Samyak Jain and Vansh Ramani and Hariprasad Kodamana and Sayan Ranu
Summary of Entity-based Reinforcement Learning For Autonomous Cyber Defence, by Isaac Symes Thompson et al.
Summary of Is Smoothness the Key to Robustness? a Comparison Of Attention and Convolution Models Using a Novel Metric, by Baiyuan Chen
Summary of Scalable Random Feature Latent Variable Models, by Ying Li et al.
Summary of Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need, by Jon Irureta et al.
Summary of Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision Processes, by Dongwen Luo
Summary of Enhancing Robustness and Efficiency Of Least Square Twin Svm Via Granular Computing, by M. Tanveer et al.
Summary of Hierarchical Multi-agent Reinforcement Learning For Cyber Network Defense, by Aditya Vikram Singh et al.
Summary of Amusd: Asynchronous Multi-device Speculative Decoding For Llm Acceleration, by Bradley Mcdanel
Summary of Episodic Future Thinking Mechanism For Multi-agent Reinforcement Learning, by Dongsu Lee et al.
Summary of Cooperative Multi-agent Constrained Stochastic Linear Bandits, by Amirhossein Afsharrad et al.
Summary of Packetlstm: Dynamic Lstm Framework For Streaming Data with Varying Feature Space, by Rohit Agarwal et al.
Summary of Geometric Graph Neural Network Modeling Of Human Interactions in Crowded Environments, by Sara Honarvar et al.
Summary of End-to-end Optimization and Learning Of Fair Court Schedules, by My H Dinh and James Kotary and Lauryn P. Gouldin and William Yeoh and Ferdinando Fioretto
Summary of Meta Stackelberg Game: Robust Federated Learning Against Adaptive and Mixed Poisoning Attacks, by Tao Li et al.
Summary of Interpreting Affine Recurrence Learning in Gpt-style Transformers, by Samarth Bhargav et al.
Summary of Guaranteeing Conservation Laws with Projection in Physics-informed Neural Networks, by Anthony Baez et al.
Summary of Detecting Adversarial Examples, by Furkan Mumcu et al.
Summary of Data Obfuscation Through Latent Space Projection (lsp) For Privacy-preserving Ai Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection, by Mahesh Vaijainthymala Krishnamoorthy
Summary of Scalable Implicit Graphon Learning, by Ali Azizpour et al.
Summary of Drop: Distributional and Regular Optimism and Pessimism For Reinforcement Learning, by Taisuke Kobayashi
Summary of Evolution with Opponent-learning Awareness, by Yann Bouteiller et al.
Summary of Do Robot Snakes Dream Like Electric Sheep? Investigating the Effects Of Architectural Inductive Biases on Hallucination, by Jerry Huang et al.
Summary of Which Client Is Reliable?: a Reliable and Personalized Prompt-based Federated Learning For Medical Image Question Answering, by He Zhu et al.
Summary of Mitigating Graph Covariate Shift Via Score-based Out-of-distribution Augmentation, by Bohan Wang et al.
Summary of Congestion Forecast For Trains with Railroad-graph-based Semi-supervised Learning Using Sparse Passenger Reports, by Soto Anno et al.
Summary of Can General-purpose Large Language Models Generalize to English-thai Machine Translation ?, by Jirat Chiaranaipanich et al.
Summary of Lino: Advancing Recursive Residual Decomposition Of Linear and Nonlinear Patterns For Robust Time Series Forecasting, by Guoqi Yu et al.
Summary of Lines: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging, by Ke Wang et al.
Summary of On Functional Dimension and Persistent Pseudodimension, by J. Elisenda Grigsby and Kathryn Lindsey
Summary of Hierarchical Upper Confidence Bounds For Constrained Online Learning, by Ali Baheri
Summary of Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-perspective News Dataset and Natural Language Processing, by Azmine Toushik Wasi et al.
Summary of Representation Shattering in Transformers: a Synthetic Study with Knowledge Editing, by Kento Nishi et al.
Summary of Fine-tuning Large Language Models to Appropriately Abstain with Semantic Entropy, by Benedict Aaron Tjandra et al.
Summary of Large Language Models Are In-context Preference Learners, by Chao Yu et al.
Summary of Sela: Tree-search Enhanced Llm Agents For Automated Machine Learning, by Yizhou Chi et al.
Summary of Lvsm: a Large View Synthesis Model with Minimal 3d Inductive Bias, by Haian Jin et al.
Summary of Inference with K-means, by Alfred K. Adzika and Prudence Djagba
Summary of Audio-driven Emotional 3d Talking-head Generation, by Wenqing Wang and Yun Fu
Summary of An Effective Theory Of Bias Amplification, by Arjun Subramonian et al.
Summary of Federated Brain Tumor Segmentation: An Extensive Benchmark, by Matthis Manthe (liris et al.
Summary of Automated Quality Control System For Canned Tuna Production Using Artificial Vision, by Sendey Vera et al.
Summary of Improving Insurance Catastrophic Data with Resampling and Gan Methods, by Norbert Dzadz and Maciej Romaniuk
Summary of Error Estimates Between Sgd with Momentum and Underdamped Langevin Diffusion, by Arnaud Guillin (lmbp) et al.
Summary of Literature Meets Data: a Synergistic Approach to Hypothesis Generation, by Haokun Liu et al.
Summary of Computing Optimal Regularizers For Online Linear Optimization, by Khashayar Gatmiry et al.
Summary of Xlstm-mixer: Multivariate Time Series Forecasting by Mixing Via Scalar Memories, By Maurice Kraus et al.
Summary of Bayes Without Underfitting: Fully Correlated Deep Learning Posteriors Via Alternating Projections, by Marco Miani et al.
Summary of Pyramid Vector Quantization For Llms, by Tycho F. A. Van Der Ouderaa et al.
Summary of Graph Neural Networks For Edge Signals: Orientation Equivariance and Invariance, by Dominik Fuchsgruber et al.
Summary of Isimed: a Framework For Self-supervised Learning Using Intrinsic Spatial Information in Medical Images, by Nabil Jabareen et al.
Summary of Sample-efficient Bayesian Optimisation Using Known Invariances, by Theodore Brown et al.
Summary of Learning Mathematical Rules with Large Language Models, by Antoine Gorceix et al.
Summary of Sample-efficient Geometry Reconstruction From Euclidean Distances Using Non-convex Optimization, by Ipsita Ghosh et al.
Summary of Lfme: a Simple Framework For Learning From Multiple Experts in Domain Generalization, by Liang Chen et al.
Summary of Deep Memory Search: a Metaheuristic Approach For Optimizing Heuristic Search, by Abdel-rahman Hedar and Alaa E. Abdel-hakim and Wael Deabes and Youseef Alotaibi and Kheir Eddine Bouazza
Summary of Optimizing Mixture-of-experts Inference Time Combining Model Deployment and Communication Scheduling, by Jialong Li et al.
Summary of Unstar: Unlearning with Self-taught Anti-sample Reasoning For Llms, by Yash Sinha et al.
Summary of Neuronal Competition Groups with Supervised Stdp For Spike-based Classification, by Gaspard Goupy and Pierre Tirilly and Ioan Marius Bilasco
Summary of Combinatorial Logistic Bandits, by Xutong Liu et al.
Summary of Optimal Design For Reward Modeling in Rlhf, by Antoine Scheid et al.
Summary of Human-llm Hybrid Text Answer Aggregation For Crowd Annotations, by Jiyi Li
Summary of Permutation Picture Of Graph Combinatorial Optimization Problems, by Yimeng Min