Paper List

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Summary of Hypergraph Clustering Using Ricci Curvature: An Edge Transport Perspective, by Olympio Hacquard
Summary of Theory Of Mixture-of-experts For Mobile Edge Computing, by Hongbo Li and Lingjie Duan
Summary of Concept Boundary Vectors, by Thomas Walker
Summary of Air: Unifying Individual and Collective Exploration in Cooperative Multi-agent Reinforcement Learning, by Guangchong Zhou et al.
Summary of Fluke: Federated Learning Utility Framework For Experimentation and Research, by Mirko Polato
Summary of The Role Of Recurrency in Image Segmentation For Noisy and Limited Sample Settings, by David Calhas et al.
Summary of Prompt-based Unifying Inference Attack on Graph Neural Networks, by Yuecen Wei et al.
Summary of Investigating Relational State Abstraction in Collaborative Marl, by Sharlin Utke et al.
Summary of Lg-sleep: Local and Global Temporal Dependencies For Mice Sleep Scoring, by Shadi Sartipi et al.
Summary of Adacred: Adaptive Causal Decision Transformers with Feature Crediting, by Hemant Kumawat and Saibal Mukhopadhyay
Summary of Dimension Reduction with Locally Adjusted Graphs, by Yingfan Wang et al.
Summary of Offline Safe Reinforcement Learning Using Trajectory Classification, by Ze Gong et al.
Summary of Time Will Tell: Timing Side Channels Via Output Token Count in Large Language Models, by Tianchen Zhang et al.
Summary of Efficient Neural Network Encoding For 3d Color Lookup Tables, by Vahid Zehtab et al.
Summary of Non-uniform Parameter-wise Model Merging, by Albert Manuel Orozco Camacho et al.
Summary of Difficulty-aware Balancing Margin Loss For Long-tailed Recognition, by Minseok Son et al.
Summary of Task-specific Preconditioner For Cross-domain Few-shot Learning, by Suhyun Kang et al.
Summary of Toward Appearance-based Autonomous Landing Site Identification For Multirotor Drones in Unstructured Environments, by Joshua Springer et al.
Summary of A Robust Prototype-based Network with Interpretable Rbf Classifier Foundations, by Sascha Saralajew et al.
Summary of Understanding When and Why Graph Attention Mechanisms Work Via Node Classification, by Zhongtian Ma et al.
Summary of Resque: Quantifying Estimator to Task and Distribution Shift For Sustainable Model Reusability, by Vishwesh Sangarya and Jung-eun Kim
Summary of Stylish and Functional: Guided Interpolation Subject to Physical Constraints, by Yan-ying Chen et al.
Summary of Novelty-guided Data Reuse For Efficient and Diversified Multi-agent Reinforcement Learning, by Yangkun Chen et al.
Summary of Prenet: Leveraging Computational Features to Predict Deep Neural Network Training Time, by Alireza Pourali et al.
Summary of Generalized Back-stepping Experience Replay in Sparse-reward Environments, by Guwen Lyu et al.
Summary of Sorrel: Suboptimal-demonstration-guided Reinforcement Learning For Learning to Branch, by Shengyu Feng et al.
Summary of Fedrlhf: a Convergence-guaranteed Federated Framework For Privacy-preserving and Personalized Rlhf, by Flint Xiaofeng Fan et al.
Summary of Maximize Your Data’s Potential: Enhancing Llm Accuracy with Two-phase Pretraining, by Steven Feng et al.
Summary of Inference-aware Fine-tuning For Best-of-n Sampling in Large Language Models, by Yinlam Chow et al.
Summary of Deep Reinforcement Learning with Time-scale Invariant Memory, by Md Rysul Kabir et al.
Summary of A Universal Model For Human Mobility Prediction, by Qingyue Long et al.
Summary of Confidence in the Reasoning Of Large Language Models, by Yudi Pawitan and Chris Holmes
Summary of A Comparative Study Of Dspy Teleprompter Algorithms For Aligning Large Language Models Evaluation Metrics to Human Evaluation, by Bhaskarjit Sarmah et al.
Summary of Tokenphormer: Structure-aware Multi-token Graph Transformer For Node Classification, by Zijie Zhou et al.
Summary of Re-evaluating Group Robustness Via Adaptive Class-specific Scaling, by Seonguk Seo et al.
Summary of Tinyllm: a Framework For Training and Deploying Language Models at the Edge Computers, by Savitha Viswanadh Kandala et al.
Summary of Pca-featured Transformer For Jamming Detection in 5g Uav Networks, by Joseanne Viana et al.
Summary of Enhancing Masked Time-series Modeling Via Dropping Patches, by Tianyu Qiu et al.
Summary of Efficient Fine-tuning and Concept Suppression For Pruned Diffusion Models, by Reza Shirkavand et al.
Summary of Exploring Machine Learning Engineering For Object Detection and Tracking by Unmanned Aerial Vehicle (uav), By Aneesha Guna et al.
Summary of Taming Multimodal Joint Training For High-quality Video-to-audio Synthesis, by Ho Kei Cheng et al.
Summary of Large Language Models on Small Resource-constrained Systems: Performance Characterization, Analysis and Trade-offs, by Liam Seymour et al.
Summary of Geopro-net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-guided Geo-prototyping, by Bang An et al.
Summary of Lisa: Learning-integrated Space Partitioning Framework For Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data, by Bang An et al.
Summary of A Generative Framework For Probabilistic, Spatiotemporally Coherent Downscaling Of Climate Simulation, by Jonathan Schmidt et al.
Summary of A Multi-fidelity Graph U-net Model For Accelerated Physics Simulations, by Rini Jasmine Gladstone and Hadi Meidani
Summary of Granger Causality Detection with Kolmogorov-arnold Networks, by Hongyu Lin et al.
Summary of Jet: a Modern Transformer-based Normalizing Flow, by Alexander Kolesnikov et al.
Summary of Rethinking Uncertainty Estimation in Natural Language Generation, by Lukas Aichberger et al.
Summary of Data For Mathematical Copilots: Better Ways Of Presenting Proofs For Machine Learning, by Simon Frieder et al.
Summary of Lmfusion: Adapting Pretrained Language Models For Multimodal Generation, by Weijia Shi et al.
Summary of Preventing Local Pitfalls in Vector Quantization Via Optimal Transport, by Borui Zhang et al.
Summary of Av-link: Temporally-aligned Diffusion Features For Cross-modal Audio-video Generation, by Moayed Haji-ali et al.
Summary of Lidar-rt: Gaussian-based Ray Tracing For Dynamic Lidar Re-simulation, by Chenxu Zhou et al.
Summary of Autotrust: Benchmarking Trustworthiness in Large Vision Language Models For Autonomous Driving, by Shuo Xing et al.
Summary of Openemma: Open-source Multimodal Model For End-to-end Autonomous Driving, by Shuo Xing et al.
Summary of Prima: Multi-image Vision-language Models For Reasoning Segmentation, by Muntasir Wahed et al.
Summary of Dipper: Diversity in Prompts For Producing Large Language Model Ensembles in Reasoning Tasks, by Gregory Kang Ruey Lau et al.
Summary of Mppo: Multi Pair-wise Preference Optimization For Llms with Arbitrary Negative Samples, by Shuo Xie et al.
Summary of Llms For Literature Review: Are We There Yet?, by Shubham Agarwal et al.
Summary of An Enhanced Text Compression Approach Using Transformer-based Language Models, by Chowdhury Mofizur Rahman and Mahbub E Sobhani and Anika Tasnim Rodela and Swakkhar Shatabda
Summary of Using Machine Learning to Distinguish Human-written From Machine-generated Creative Fiction, by Andrea Cristina Mcglinchey and Peter J Barclay
Summary of Disembed: Transforming Disease Understanding Through Embeddings, by Salman Faroz
Summary of Structured Extraction Of Real World Medical Knowledge Using Llms For Summarization and Search, by Edward Kim et al.
Summary of The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration, by Geetanjali Bihani and Julia Rayz
Summary of Baichuan4-finance Technical Report, by Hanyu Zhang et al.
Summary of Channel Merging: Preserving Specialization For Merged Experts, by Mingyang Zhang et al.
Summary of Alkafi-llama3: Fine-tuning Llms For Precise Legal Understanding in Palestine, by Rabee Qasem et al.
Summary of Maria: a Multimodal Transformer Model For Incomplete Healthcare Data, by Camillo Maria Caruso et al.
Summary of Extending Twig: Zero-shot Predictive Hyperparameter Selection For Kges Based on Graph Structure, by Jeffrey Sardina et al.
Summary of Answer Set Networks: Casting Answer Set Programming Into Deep Learning, by Arseny Skryagin et al.
Summary of Hierarchical Subspaces Of Policies For Continual Offline Reinforcement Learning, by Anthony Kobanda et al.
Summary of Entropy Regularized Task Representation Learning For Offline Meta-reinforcement Learning, by Mohammadreza Nakhaei et al.
Summary of Corn Ear Detection and Orientation Estimation Using Deep Learning, by Nathan Sprague et al.
Summary of Ai-powered Intracranial Hemorrhage Detection: a Co-scale Convolutional Attention Model with Uncertainty-based Fuzzy Integral Operator and Feature Screening, by Mehdi Hosseini Chagahi et al.
Summary of Idol: Instant Photorealistic 3d Human Creation From a Single Image, by Yiyu Zhuang et al.
Summary of Stitch Contrast and Segment_learning a Human Action Segmentation Model Using Trimmed Skeleton Videos, by Haitao Tian et al.
Summary of Robust Federated Learning in the Face Of Covariate Shift: a Magnitude Pruning with Hybrid Regularization Framework For Enhanced Model Aggregation, by Ozgu Goksu et al.
Summary of Dctdiff: Intriguing Properties Of Image Generative Modeling in the Dct Space, by Mang Ning et al.
Summary of Multiverseg: Scalable Interactive Segmentation Of Biomedical Imaging Datasets with In-context Guidance, by Hallee E. Wong and Jose Javier Gonzalez Ortiz and John Guttag and Adrian V. Dalca
Summary of Droughtset: Understanding Drought Through Spatial-temporal Learning, by Xuwei Tan et al.
Summary of Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses Of Batch Normalization Layers, by Zhu Liao et al.
Summary of Learning Disentangled Equivariant Representation For Explicitly Controllable 3d Molecule Generation, by Haoran Liu et al.
Summary of Acemath: Advancing Frontier Math Reasoning with Post-training and Reward Modeling, by Zihan Liu et al.
Summary of A Full Transformer-based Framework For Automatic Pain Estimation Using Videos, by Stefanos Gkikas et al.
Summary of Outcome-refining Process Supervision For Code Generation, by Zhuohao Yu et al.
Summary of Adaptive Pruning For Large Language Models with Structural Importance Awareness, by Haotian Zheng et al.
Summary of Towards Scalable and Deep Graph Neural Networks Via Noise Masking, by Yuxuan Liang et al.
Summary of Ldp: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining, By Huawen Shen et al.
Summary of Pitfalls Of Topology-aware Image Segmentation, by Alexander H. Berger et al.
Summary of Continuous Latent Representations For Modeling Precipitation with Deep Learning, by Gokul Radhakrishnan et al.
Summary of Robust Pca Based on Adaptive Weighted Least Squares and Low-rank Matrix Factorization, by Kexin Li et al.
Summary of Trainable Adaptive Activation Function Structure (taafs) Enhances Neural Network Force Field Performance with Only Dozens Of Additional Parameters, by Enji Li
Summary of Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-attention For Fine-grained Few-shot Learning, by Eric Brouwer et al.
Summary of Unveiling Uncertainty: a Deep Dive Into Calibration and Performance Of Multimodal Large Language Models, by Zijun Chen et al.
Summary of Lolafl: Low-latency Federated Learning Via Forward-only Propagation, by Jierui Zhang et al.
Summary of How to Synthesize Text Data Without Model Collapse?, by Xuekai Zhu et al.
Summary of Lorentzian Residual Neural Networks, by Neil He et al.
Summary of Holistic Adversarially Robust Pruning, by Qi Zhao and Christian Wressnegger
Summary of Remoe: Fully Differentiable Mixture-of-experts with Relu Routing, by Ziteng Wang et al.