Paper List

We recommend you use the search box as this list is very long.

Summary of Federated Learning Framework For Lorawan-enabled Iiot Communication: a Case Study, by Oscar Torres Sanchez et al.
Summary of Fast Local Neural Regression For Low-cost, Path Traced Lambertian Global Illumination, by Arturo Salmi et al.
Summary of Efficient, Accurate and Stable Gradients For Neural Odes, by Sam Mccallum and James Foster
Summary of Shakti: a 2.5 Billion Parameter Small Language Model Optimized For Edge Ai and Low-resource Environments, by Syed Abdul Gaffar Shakhadri et al.
Summary of Diar: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation, by Jaehyun Park and Yunho Kim and Sejin Kim and Byung-jun Lee and Sundong Kim
Summary of Toward a Well-calibrated Discrimination Via Survival Outcome-aware Contrastive Learning, by Dongjoon Lee et al.
Summary of Reducing Labeling Costs in Sentiment Analysis Via Semi-supervised Learning, by Minoo Jafarlou and Mario M. Kubek
Summary of Dodt: Enhanced Online Decision Transformer Learning Through Dreamer’s Actor-critic Trajectory Forecasting, by Eric Hanchen Jiang et al.
Summary of Wpfed: Web-based Personalized Federation For Decentralized Systems, by Guanhua Ye et al.
Summary of Point-calibrated Spectral Neural Operators, by Xihang Yue et al.
Summary of Survey and Evaluation Of Converging Architecture in Llms Based on Footsteps Of Operations, by Seongho Kim et al.
Summary of Hessian-informed Flow Matching, by Christopher Iliffe Sprague et al.
Summary of Klay: Accelerating Arithmetic Circuits For Neurosymbolic Ai, by Jaron Maene et al.
Summary of Enhancing Unimodal Latent Representations in Multimodal Vaes Through Iterative Amortized Inference, by Yuta Oshima et al.
Summary of Foogd: Federated Collaboration For Both Out-of-distribution Generalization and Detection, by Xinting Liao et al.
Summary of Are High-degree Representations Really Unnecessary in Equivariant Graph Neural Networks?, by Jiacheng Cen et al.
Summary of A Theoretical Survey on Foundation Models, by Shi Fu et al.
Summary of Meta-dt: Offline Meta-rl As Conditional Sequence Modeling with World Model Disentanglement, by Zhi Wang et al.
Summary of Conditional Density Estimation with Histogram Trees, by Lincen Yang et al.
Summary of Diffusion-based Offline Rl For Improved Decision-making in Augmented Arc Task, by Yunho Kim and Jaehyun Park and Heejun Kim and Sejin Kim and Byung-jun Lee and Sundong Kim
Summary of Deciphering the Chaos: Enhancing Jailbreak Attacks Via Adversarial Prompt Translation, by Qizhang Li et al.
Summary of Ka-gnn: Kolmogorov-arnold Graph Neural Networks For Molecular Property Prediction, by Longlong Li et al.
Summary of Evolutionary Retrofitting, by Mathurin Videau (tau) et al.
Summary of Automatically Generating Visual Hallucination Test Cases For Multimodal Large Language Models, by Zhongye Liu et al.
Summary of Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space, by Rajesh Mangannavar et al.
Summary of Disentangled Unsupervised Skill Discovery For Efficient Hierarchical Reinforcement Learning, by Jiaheng Hu et al.
Summary of Beyond Linear Approximations: a Novel Pruning Approach For Attention Matrix, by Yingyu Liang et al.
Summary of Unveiling Options with Neural Decomposition, by Mahdi Alikhasi and Levi H. S. Lelis
Summary of Fedccrl: Federated Domain Generalization with Cross-client Representation Learning, by Xinpeng Wang et al.
Summary of Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent, By Bo Chen et al.
Summary of Tackling Dimensional Collapse Toward Comprehensive Universal Domain Adaptation, by Hung-chieh Fang et al.
Summary of Shallow Diffusion Networks Provably Learn Hidden Low-dimensional Structure, by Nicholas M. Boffi and Arthur Jacot and Stephen Tu and Ingvar Ziemann
Summary of Umambatsf: a U-shaped Multi-scale Long-term Time Series Forecasting Method Using Mamba, by Li Wu et al.
Summary of Ilaeda: An Imitation Learning Based Approach For Automatic Exploratory Data Analysis, by Abhijit Manatkar et al.
Summary of Advancing the Understanding Of Fixed Point Iterations in Deep Neural Networks: a Detailed Analytical Study, by Yekun Ke et al.
Summary of Advbdgen: Adversarially Fortified Prompt-specific Fuzzy Backdoor Generator Against Llm Alignment, by Pankayaraj Pathmanathan et al.
Summary of Subspace Optimization For Large Language Models with Convergence Guarantees, by Yutong He et al.
Summary of Backdoor Attack on Vertical Federated Graph Neural Network Learning, by Jirui Yang et al.
Summary of Tram : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles, by Jinjae Kim et al.
Summary of Have the Vlms Lost Confidence? a Study Of Sycophancy in Vlms, by Shuo Li et al.
Summary of Tsds: Data Selection For Task-specific Model Finetuning, by Zifan Liu et al.
Summary of Qspec: Speculative Decoding with Complementary Quantization Schemes, by Juntao Zhao et al.
Summary of Towards Differentiable Multilevel Optimization: a Gradient-based Approach, by Yuntian Gu and Xuzheng Chen
Summary of Interpretability As Compression: Reconsidering Sae Explanations Of Neural Activations with Mdl-saes, by Kola Ayonrinde et al.
Summary of Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets, by Jinyu Liu et al.
Summary of Position: On-premises Llm Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality, by Hanbo Huang et al.
Summary of Neural Symbolic Regression Of Complex Network Dynamics, by Haiquan Qiu et al.
Summary of Fast Second-order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition, by Dongxie Wen et al.
Summary of Splitsee: a Splittable Self-supervised Framework For Single-channel Eeg Representation Learning, by Rikuto Kotoge et al.
Summary of Rethinking Graph Transformer Architecture Design For Node Classification, by Jiajun Zhou et al.
Summary of Tree Of Attributes Prompt Learning For Vision-language Models, by Tong Ding et al.
Summary of Error Diffusion: Post Training Quantization with Block-scaled Number Formats For Neural Networks, by Alireza Khodamoradi et al.
Summary of Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning, by Hassan Ali et al.
Summary of Towards Understanding Why Fixmatch Generalizes Better Than Supervised Learning, by Jingyang Li et al.
Summary of Cross-dataset Generalization in Deep Learning, by Xuyu Zhang et al.
Summary of Cvcp-fusion: on Implicit Depth Estimation For 3d Bounding Box Prediction, by Pranav Gupta et al.
Summary of Dreamsteerer: Enhancing Source Image Conditioned Editability Using Personalized Diffusion Models, by Zhengyang Yu et al.
Summary of Multi-objective Reinforcement Learning: a Tool For Pluralistic Alignment, by Peter Vamplew et al.
Summary of Quadratic Gating Functions in Mixture Of Experts: a Statistical Insight, by Pedram Akbarian et al.
Summary of Guarantees For Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples, by Thomas T. Zhang et al.
Summary of Mf-lal: Drug Compound Generation Using Multi-fidelity Latent Space Active Learning, by Peter Eckmann et al.
Summary of A Unified Framework For Forward and Inverse Problems in Subsurface Imaging Using Latent Space Translations, by Naveen Gupta et al.
Summary of Bayes Adaptive Monte Carlo Tree Search For Offline Model-based Reinforcement Learning, by Jiayu Chen et al.
Summary of Action Gaps and Advantages in Continuous-time Distributional Reinforcement Learning, by Harley Wiltzer et al.
Summary of Enhancing Ai Assisted Writing with One-shot Implicit Negative Feedback, by Benjamin Towle and Ke Zhou
Summary of Towards a More Complete Theory Of Function Preserving Transforms, by Michael Painter
Summary of Persistent Topological Features in Large Language Models, by Yuri Gardinazzi and Giada Panerai and Karthik Viswanathan and Alessio Ansuini and Alberto Cazzaniga and Matteo Biagetti
Summary of Time Series Viewmakers For Robust Disruption Prediction, by Dhruva Chayapathy et al.
Summary of Learning to Optimize For Mixed-integer Non-linear Programming, by Bo Tang et al.
Summary of Variational Inference in Location-scale Families: Exact Recovery Of the Mean and Correlation Matrix, by Charles C. Margossian and Lawrence K. Saul
Summary of Character-aware Audio-visual Subtitling in Context, by Jaesung Huh et al.
Summary of Simplifying, Stabilizing and Scaling Continuous-time Consistency Models, by Cheng Lu et al.
Summary of A Two-stage Federated Learning Approach For Industrial Prognostics Using Large-scale High-dimensional Signals, by Yuqi Su et al.
Summary of Classifying Healthy and Defective Fruits with a Multi-input Architecture and Cnn Models, by Luis Chuquimarca et al.
Summary of Differentiable Weightless Neural Networks, by Alan T. L. Bacellar et al.
Summary of Statistical Properties Of Deep Neural Networks with Dependent Data, by Chad Brown
Summary of Mimetic Initialization Helps State Space Models Learn to Recall, by Asher Trockman et al.
Summary of Real-time Localization and Bimodal Point Pattern Analysis Of Palms Using Uav Imagery, by Kangning Cui et al.
Summary of Llm Unlearning Via Loss Adjustment with Only Forget Data, by Yaxuan Wang et al.
Summary of Free Hunch: Denoiser Covariance Estimation For Diffusion Models Without Extra Costs, by Severi Rissanen et al.
Summary of Latent-predictive Empowerment: Measuring Empowerment Without a Simulator, by Andrew Levy et al.
Summary of A Bilevel Optimization Framework For Imbalanced Data Classification, by Karen Medlin et al.
Summary of Toward Efficient Kernel-based Solvers For Nonlinear Pdes, by Zhitong Xu et al.
Summary of At-moe: Adaptive Task-planning Mixture Of Experts Via Lora Approach, by Xurui Li et al.
Summary of 3ds: Decomposed Difficulty Data Selection’s Case Study on Llm Medical Domain Adaptation, by Hongxin Ding et al.
Summary of Improving Generalization on the Procgen Benchmark with Simple Architectural Changes and Scale, by Andrew Jesson and Yiding Jiang
Summary of An Explainable Ai Model For Predicting the Recurrence Of Differentiated Thyroid Cancer, by Mohammad Al-sayed Ahmad et al.
Summary of The State Of Julia For Scientific Machine Learning, by Edward Berman et al.
Summary of Alphapruning: Using Heavy-tailed Self Regularization Theory For Improved Layer-wise Pruning Of Large Language Models, by Haiquan Lu et al.
Summary of Towards Better Multi-head Attention Via Channel-wise Sample Permutation, by Shen Yuan et al.
Summary of Graph Masked Autoencoder For Spatio-temporal Graph Learning, by Qianru Zhang et al.
Summary of A Few-shot Label Unlearning in Vertical Federated Learning, by Hanlin Gu et al.
Summary of Atlas: Adapter-based Multi-modal Continual Learning with a Two-stage Learning Strategy, by Hong Li et al.
Summary of Dissecting Embedding Method: Learning Higher-order Structures From Data, by Liubov Tupikina (upd5 et al.
Summary of Federated Data-efficient Instruction Tuning For Large Language Models, by Zhen Qin et al.
Summary of A Benchmark Suite For Evaluating Neural Mutual Information Estimators on Unstructured Datasets, by Kyungeun Lee and Wonjong Rhee
Summary of Astm :autonomous Smart Traffic Management System Using Artificial Intelligence Cnn and Lstm, by Christofel Rio Goenawan
Summary of Hybrid Spatial Representations For Species Distribution Modeling, by Shiran Yuan and Hao Zhao
Summary of Data-aware Training Quality Monitoring and Certification For Reliable Deep Learning, by Farhang Yeganegi et al.
Summary of What Does It Mean to Be a Transformer? Insights From a Theoretical Hessian Analysis, by Weronika Ormaniec et al.