Paper List

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Summary of Don’t Trust: Verify — Grounding Llm Quantitative Reasoning with Autoformalization, by Jin Peng Zhou et al.
Summary of A Correction Of Pseudo Log-likelihood Method, by Shi Feng et al.
Summary of Recommendation Of Data-free Class-incremental Learning Algorithms by Simulating Future Data, By Eva Feillet et al.
Summary of Ae Semrl: Learning Semantic Association Rules with Autoencoders, by Erkan Karabulut et al.
Summary of Ccdsreformer: Traffic Flow Prediction with a Criss-crossed Dual-stream Enhanced Rectified Transformer Model, by Zhiqi Shao et al.
Summary of Noise2noise Denoising Of Crism Hyperspectral Data, by Robert Platt et al.
Summary of Scinews: From Scholarly Complexities to Public Narratives — a Dataset For Scientific News Report Generation, by Dongqi Liu et al.
Summary of Asymptotic Bayes Risk Of Semi-supervised Learning with Uncertain Labeling, by Victor Leger and Romain Couillet
Summary of Secure Aggregation Is Not Private Against Membership Inference Attacks, by Khac-hoang Ngo et al.
Summary of Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms, by Michael Hanna et al.
Summary of Are Compressed Language Models Less Subgroup Robust?, by Leonidas Gee et al.
Summary of Diffh2o: Diffusion-based Synthesis Of Hand-object Interactions From Textual Descriptions, by Sammy Christen and Shreyas Hampali and Fadime Sener and Edoardo Remelli and Tomas Hodan and Eric Sauser and Shugao Ma and Bugra Tekin
Summary of Gpfl: a Gradient Projection-based Client Selection Framework For Efficient Federated Learning, by Shijie Na et al.
Summary of Gta-hdr: a Large-scale Synthetic Dataset For Hdr Image Reconstruction, by Hrishav Bakul Barua et al.
Summary of Climate Downscaling: a Deep-learning Based Super-resolution Model Of Precipitation Data with Attention Block and Skip Connections, by Chia-hao Chiang et al.
Summary of Mechanistic Design and Scaling Of Hybrid Architectures, by Michael Poli et al.
Summary of Counterfactual Fairness Through Transforming Data Orthogonal to Bias, by Shuyi Chen et al.
Summary of Using Domain Knowledge to Guide Dialog Structure Induction Via Neural Probabilistic Soft Logic, by Connor Pryor et al.
Summary of Empowering Data Mesh with Federated Learning, by Haoyuan Li and Salman Toor
Summary of Neural Embedding Compression For Efficient Multi-task Earth Observation Modelling, by Carlos Gomes and Thomas Brunschwiler
Summary of The Unreasonable Ineffectiveness Of the Deeper Layers, by Andrey Gromov et al.
Summary of Image-based Novel Fault Detection with Deep Learning Classifiers Using Hierarchical Labels, by Nurettin Sergin et al.
Summary of Lisa: Layerwise Importance Sampling For Memory-efficient Large Language Model Fine-tuning, by Rui Pan et al.
Summary of The Need For Speed: Pruning Transformers with One Recipe, by Samir Khaki and Konstantinos N. Plataniotis
Summary of Boosting Adversarial Training Via Fisher-rao Norm-based Regularization, by Xiangyu Yin et al.
Summary of Bvr Gym: a Reinforcement Learning Environment For Beyond-visual-range Air Combat, by Edvards Scukins et al.
Summary of Vdsc: Enhancing Exploration Timing with Value Discrepancy and State Counts, by Marius Captari et al.
Summary of Enhancing Privacy in Federated Learning Through Local Training, by Nicola Bastianello et al.
Summary of Forest-ore: Mining Optimal Rule Ensemble to Interpret Random Forest Models, by Haddouchi Maissae and Berrado Abdelaziz
Summary of A Survey on State-of-the-art Deep Learning Applications and Challenges, by Mohd Halim Mohd Noor and Ayokunle Olalekan Ige
Summary of Dual Memory Networks: a Versatile Adaptation Approach For Vision-language Models, by Yabin Zhang et al.
Summary of On the Benefits Of Over-parameterization For Out-of-distribution Generalization, by Yifan Hao et al.
Summary of Lasil: Learner-aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation, by Ke Guo et al.
Summary of Fake or Jpeg? Revealing Common Biases in Generated Image Detection Datasets, by Patrick Grommelt et al.
Summary of Data-driven Energy Consumption Modelling For Electric Micromobility Using An Open Dataset, by Yue Ding et al.
Summary of Peersimgym: An Environment For Solving the Task Offloading Problem with Reinforcement Learning, by Frederico Metelo et al.
Summary of Uncertainty-aware Distributional Offline Reinforcement Learning, by Xiaocong Chen and Siyu Wang and Tong Yu and Lina Yao
Summary of Canos: a Fast and Scalable Neural Ac-opf Solver Robust to N-1 Perturbations, by Luis Piloto et al.
Summary of Manifold-guided Lyapunov Control with Diffusion Models, by Amartya Mukherjee et al.
Summary of Plainmamba: Improving Non-hierarchical Mamba in Visual Recognition, by Chenhongyi Yang et al.
Summary of How Private Are Dp-sgd Implementations?, by Lynn Chua et al.
Summary of Mep: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation, by Weiguo Gao
Summary of Masked Autoencoders Are Pde Learners, by Anthony Zhou and Amir Barati Farimani
Summary of Leave No Patient Behind: Enhancing Medication Recommendation For Rare Disease Patients, by Zihao Zhao et al.
Summary of Alisa: Accelerating Large Language Model Inference Via Sparsity-aware Kv Caching, by Youpeng Zhao et al.
Summary of The Pursuit Of Fairness in Artificial Intelligence Models: a Survey, by Tahsin Alamgir Kheya and Mohamed Reda Bouadjenek and Sunil Aryal
Summary of Deep Support Vectors, by Junhoo Lee et al.
Summary of Residual-based Language Models Are Free Boosters For Biomedical Imaging, by Zhixin Lai et al.
Summary of Learn From Heterophily: Heterophilous Information-enhanced Graph Neural Network, by Yilun Zheng et al.
Summary of Aide: An Automatic Data Engine For Object Detection in Autonomous Driving, by Mingfu Liang et al.
Summary of Self-rectifying Diffusion Sampling with Perturbed-attention Guidance, by Donghoon Ahn et al.
Summary of Application-driven Innovation in Machine Learning, by David Rolnick et al.
Summary of Ellen: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition, by Haris Riaz et al.
Summary of Generalization Error Analysis For Sparse Mixture-of-experts: a Preliminary Study, by Jinze Zhao et al.
Summary of Transcribing Bengali Text with Regional Dialects to Ipa Using District Guided Tokens, by S M Jishanul Islam et al.
Summary of On Permutation-invariant Neural Networks, by Masanari Kimura et al.
Summary of Robust and Scalable Model Editing For Large Language Models, by Yingfa Chen et al.
Summary of Order Of Compression: a Systematic and Optimal Sequence to Combinationally Compress Cnn, by Yingtao Shen et al.
Summary of Incorporating Exponential Smoothing Into Mlp: a Simple but Effective Sequence Model, by Jiqun Chu et al.
Summary of Imitating Cost-constrained Behaviors in Reinforcement Learning, by Qian Shao et al.
Summary of A Unified Kernel For Neural Network Learning, by Shao-qun Zhang et al.
Summary of Variational Graph Auto-encoder Based Inductive Learning Method For Semi-supervised Classification, by Hanxuan Yang et al.
Summary of Ds-al: a Dual-stream Analytic Learning For Exemplar-free Class-incremental Learning, by Huiping Zhuang et al.
Summary of El-mlffs: Ensemble Learning Of Machine Leaning Force Fields, by Bangchen Yin et al.
Summary of Stochastic Parameter Reduced-order Model Based on Hybrid Machine Learning Approaches, by Cheng Fang et al.
Summary of Enhancing Graph Representation Learning with Attention-driven Spiking Neural Networks, by Huifeng Yin et al.
Summary of Offline Reinforcement Learning: Role Of State Aggregation and Trajectory Data, by Zeyu Jia et al.
Summary of Enhancing Uav Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable Ai Analysis, by Ekramul Haque et al.
Summary of Certified Machine Unlearning Via Noisy Stochastic Gradient Descent, by Eli Chien et al.
Summary of Synfog: a Photo-realistic Synthetic Fog Dataset Based on End-to-end Imaging Simulation For Advancing Real-world Defogging in Autonomous Driving, by Yiming Xie et al.
Summary of Exploring the Potential Of Prototype-based Soft-labels Data Distillation For Imbalanced Data Classification, by Radu-andrei Rosu et al.
Summary of Exploring the Generalization Of Cancer Clinical Trial Eligibility Classifiers Across Diseases, by Yumeng Yang et al.
Summary of Guided Distant Supervision For Multilingual Relation Extraction Data: Adapting to a New Language, by Alistair Plum et al.
Summary of Less Is More — on the Importance Of Sparsification For Transformers and Graph Neural Networks For Tsp, by Attila Lischka et al.
Summary of Belief Samples Are All You Need For Social Learning, by Mahyar Jafarinodeh et al.
Summary of Cadgl: Context-aware Deep Graph Learning For Predicting Drug-drug Interactions, by Azmine Toushik Wasi et al.
Summary of Sanity Checks For Explanation Uncertainty, by Matias Valdenegro-toro and Mihir Mulye
Summary of Co-occurring Of Object Detection and Identification Towards Unlabeled Object Discovery, by Binay Kumar Singh et al.
Summary of Manufacturing Service Capability Prediction with Graph Neural Networks, by Yunqing Li et al.
Summary of Neural Image Compression with Quantization Rectifier, by Wei Luo et al.
Summary of Uncertainty Quantification For Gradient-based Explanations in Neural Networks, by Mihir Mulye and Matias Valdenegro-toro
Summary of Diffusion-based Negative Sampling on Graphs For Link Prediction, by Trung-kien Nguyen et al.
Summary of An Analysis Of Switchback Designs in Reinforcement Learning, by Qianglin Wen et al.
Summary of Not All Federated Learning Algorithms Are Created Equal: a Performance Evaluation Study, by Gustav A. Baumgart et al.
Summary of Enhancing Neural Network Representations with Prior Knowledge-based Normalization, by Bilal Faye et al.
Summary of Multiple-source Localization From a Single-snapshot Observation Using Graph Bayesian Optimization, by Zonghan Zhang et al.
Summary of Convergence Of a Model-free Entropy-regularized Inverse Reinforcement Learning Algorithm, by Titouan Renard et al.
Summary of Weak Convergence Analysis Of Online Neural Actor-critic Algorithms, by Samuel Chun-hei Lam et al.
Summary of Do Llm Agents Have Regret? a Case Study in Online Learning and Games, by Chanwoo Park et al.
Summary of Inpc: Implicit Neural Point Clouds For Radiance Field Rendering, by Florian Hahlbohm and Linus Franke and Moritz Kappel and Susana Castillo and Martin Eisemann and Marc Stamminger and Marcus Magnor
Summary of Greedy and Cody: Counterfactual Explainers For Dynamic Graphs, by Zhan Qu et al.
Summary of Glad: Improving Latent Graph Generative Modeling with Simple Quantization, by Van Khoa Nguyen et al.
Summary of Scod: From Heuristics to Theory, by Vojtech Franc and Jakub Paplham and Daniel Prusa
Summary of Fligan: Enhancing Federated Learning with Incomplete Data Using Gan, by Paul Joe Maliakel et al.
Summary of Aligning with Human Judgement: the Role Of Pairwise Preference in Large Language Model Evaluators, by Yinhong Liu et al.
Summary of Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance, By Jiasheng Ye et al.
Summary of Be Yourself: Bounded Attention For Multi-subject Text-to-image Generation, by Omer Dahary et al.
Summary of Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows, by Shujian Zhang et al.
Summary of Calib3d: Calibrating Model Preferences For Reliable 3d Scene Understanding, by Lingdong Kong and Xiang Xu and Jun Cen and Wenwei Zhang and Liang Pan and Kai Chen and Ziwei Liu
Summary of Sudo: a Framework For Evaluating Clinical Artificial Intelligence Systems Without Ground-truth Annotations, by Dani Kiyasseh et al.