Paper List

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Summary of No More Tuning: Prioritized Multi-task Learning with Lagrangian Differential Multiplier Methods, by Zhengxing Cheng et al.
Summary of Sepllm: Accelerate Large Language Models by Compressing One Segment Into One Separator, By Guoxuan Chen et al.
Summary of Maxinforl: Boosting Exploration in Reinforcement Learning Through Information Gain Maximization, by Bhavya Sukhija et al.
Summary of Mastering Board Games by External and Internal Planning with Language Models, By John Schultz et al.
Summary of Ai-driven Inverse Design Of Band-tunable Mechanical Metastructures For Tailored Vibration Mitigation, by Tanuj Gupta et al.
Summary of Frontier Ai Systems Have Surpassed the Self-replicating Red Line, by Xudong Pan et al.
Summary of Scenediffuser: Efficient and Controllable Driving Simulation Initialization and Rollout, by Chiyu Max Jiang et al.
Summary of Multimodal Llm For Intelligent Transportation Systems, by Dexter Le et al.
Summary of Just a Simple Transformation Is Enough For Data Protection in Vertical Federated Learning, by Andrei Semenov et al.
Summary of From Specific-mllms to Omni-mllms: a Survey on Mllms Aligned with Multi-modalities, by Shixin Jiang et al.
Summary of Citrus: Squeezing Extra Performance Out Of Low-data Bio-signal Transfer Learning, by Eloy Geenjaar and Lie Lu
Summary of Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-preservation in Federated Learning, by Xue Yang et al.
Summary of Conditional Diffusion Models Based Conditional Independence Testing, by Yanfeng Yang et al.
Summary of Asymmetric Learning For Spectral Graph Neural Networks, by Fangbing Liu et al.
Summary of Generalized Bayesian Deep Reinforcement Learning, by Shreya Sinha Roy et al.
Summary of No More Adam: Learning Rate Scaling at Initialization Is All You Need, by Minghao Xu et al.
Summary of A Method For Detecting Legal Article Competition For Korean Criminal Law Using a Case-augmented Mention Graph, by Seonho An et al.
Summary of Fast and Slow Gradient Approximation For Binary Neural Network Optimization, by Xinquan Chen et al.
Summary of Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data, by Mulugeta Weldezgina Asres et al.
Summary of Wonderful Matrices: Combining For a More Efficient and Effective Foundation Model Architecture, by Jingze Shi and Bingheng Wu
Summary of Transformers Use Causal World Models in Maze-solving Tasks, by Alex F. Spies et al.
Summary of Bayesian Surrogate Training on Multiple Data Sources: a Hybrid Modeling Strategy, by Philipp Reiser et al.
Summary of Hierarchical Meta-reinforcement Learning Via Automated Macro-action Discovery, by Minjae Cho et al.
Summary of Asynchronous Distributed Gaussian Process Regression For Online Learning and Dynamical Systems: Complementary Document, by Zewen Yang et al.
Summary of The Impact Of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification, by Ahmad Hassanpour et al.
Summary of Advancing Comprehensive Aesthetic Insight with Multi-scale Text-guided Self-supervised Learning, by Yuti Liu et al.
Summary of Gramian Multimodal Representation Learning and Alignment, by Giordano Cicchetti et al.
Summary of Notecontrast: Contrastive Language-diagnostic Pretraining For Medical Text, by Prajwal Kailas et al.
Summary of Explicit and Implicit Graduated Optimization in Deep Neural Networks, by Naoki Sato et al.
Summary of Constructing Confidence Intervals For Average Treatment Effects From Multiple Datasets, by Yuxin Wang et al.
Summary of On the Ability Of Deep Networks to Learn Symmetries From Data: a Neural Kernel Theory, by Andrea Perin and Stephane Deny
Summary of Probabilities-informed Machine Learning, by Mohsen Rashki
Summary of Thesaurus: Contrastive Graph Clustering by Swapping Fused Gromov-wasserstein Couplings, By Bowen Deng et al.
Summary of Error Diversity Matters: An Error-resistant Ensemble Method For Unsupervised Dependency Parsing, by Behzad Shayegh et al.
Summary of Meta Curvature-aware Minimization For Domain Generalization, by Ziyang Chen et al.
Summary of Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with Hp-accord, by Sungdong Lee et al.
Summary of Spar: Self-play with Tree-search Refinement to Improve Instruction-following in Large Language Models, by Jiale Cheng et al.
Summary of Towards Adversarial Robustness Of Model-level Mixture-of-experts Architectures For Semantic Segmentation, by Svetlana Pavlitska et al.
Summary of Evollama: Enhancing Llms’ Understanding Of Proteins Via Multimodal Structure and Sequence Representations, by Nuowei Liu et al.
Summary of Qpruner: Probabilistic Decision Quantization For Structured Pruning in Large Language Models, by Changhai Zhou and Yuhua Zhou and Shijie Han and Qian Qiao and Hongguang Li
Summary of A Mapper Algorithm with Implicit Intervals and Its Optimization, by Yuyang Tao and Shufei Ge
Summary of Ba-bfl: Barycentric Aggregation For Bayesian Federated Learning, by Nour Jamoussi et al.
Summary of Cnntention: Can Cnns Do Better with Attention?, by Nikhil Kapila et al.
Summary of Smoothness Really Matters: a Simple Yet Effective Approach For Unsupervised Graph Domain Adaptation, by Wei Chen et al.
Summary of C3ot: Generating Shorter Chain-of-thought Without Compromising Effectiveness, by Yu Kang et al.
Summary of Non-convex Optimization in Federated Learning Via Variance Reduction and Adaptive Learning, by Dipanwita Thakur et al.
Summary of Ua-pdfl: a Personalized Approach For Decentralized Federated Learning, by Hangyu Zhu et al.
Summary of Formulations and Scalability Of Neural Network Surrogates in Nonlinear Optimization Problems, by Robert B. Parker et al.
Summary of Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training, by Milad Soltany et al.
Summary of Mgda: Model-based Goal Data Augmentation For Offline Goal-conditioned Weighted Supervised Learning, by Xing Lei et al.
Summary of Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-specific Flaws, By Akshita Jha et al.
Summary of Rl-llm-dt: An Automatic Decision Tree Generation Method Based on Rl Evaluation and Llm Enhancement, by Junjie Lin et al.
Summary of Towards Scientific Discovery with Generative Ai: Progress, Opportunities, and Challenges, by Chandan K Reddy et al.
Summary of Bayesian Flow Is All You Need to Sample Out-of-distribution Chemical Spaces, by Nianze Tao
Summary of Auto-bidding in Real-time Auctions Via Oracle Imitation Learning (oil), by Alberto Silvio Chiappa et al.
Summary of Trail: Trust-aware Client Scheduling For Semi-decentralized Federated Learning, by Gangqiang Hu et al.
Summary of Universal Domain Adaptive Object Detection Via Dual Probabilistic Alignment, by Yuanfan Zheng et al.
Summary of Data-dependent Generalization Bounds For Parameterized Quantum Models Under Noise, by Bikram Khanal and Pablo Rivas
Summary of Multilabel Classification For Lung Disease Detection: Integrating Deep Learning and Natural Language Processing, by Maria Efimovich et al.
Summary of Regional Expected Improvement For Efficient Trust Region Selection in High-dimensional Bayesian Optimization, by Nobuo Namura et al.
Summary of Understanding Knowledge Hijack Mechanism in In-context Learning Through Associative Memory, by Shuo Wang et al.
Summary of Mining In-distribution Attributes in Outliers For Out-of-distribution Detection, by Yutian Lei et al.
Summary of Unsupervised Anomaly Detection For Tabular Data Using Noise Evaluation, by Wei Dai et al.
Summary of Fedcar: Cross-client Adaptive Re-weighting For Generative Models in Federated Learning, by Minjun Kim et al.
Summary of Leveraging Foundation Language Models (flms) For Automated Cohort Extraction From Large Ehr Databases, by Purity Mugambi et al.
Summary of Vertical Federated Unlearning Via Backdoor Certification, by Mengde Han et al.
Summary of Hgsfusion: Radar-camera Fusion with Hybrid Generation and Synchronization For 3d Object Detection, by Zijian Gu et al.
Summary of Transformer-based Bearing Fault Detection Using Temporal Decomposition Attention Mechanism, by Marzieh Mirzaeibonehkhater et al.
Summary of Wasserstein Bounds For Generative Diffusion Models with Gaussian Tail Targets, by Xixian Wang et al.
Summary of Are Expressive Models Truly Necessary For Offline Rl?, by Guan Wang et al.
Summary of Prediction-enhanced Monte Carlo: a Machine Learning View on Control Variate, by Fengpei Li et al.
Summary of Wearable Accelerometer Foundation Models For Health Via Knowledge Distillation, by Salar Abbaspourazad et al.
Summary of Grassmannian Geometry Meets Dynamic Mode Decomposition in Dmd-gen: a New Metric For Mode Collapse in Time Series Generative Models, by Amime Mohamed Aboussalah and Yassine Abbahaddou
Summary of A Comparative Study on Dynamic Graph Embedding Based on Mamba and Transformers, by Ashish Parmanand Pandey et al.
Summary of Semi-implicit Neural Ordinary Differential Equations, by Hong Zhang et al.
Summary of Sequence-level Leakage Risk Of Training Data in Large Language Models, by Trishita Tiwari and G. Edward Suh
Summary of Datadriftr: An R Package For Concept Drift Detection in Predictive Models, by Ugur Dar et al.
Summary of Coupling-based Convergence Diagnostic and Stepsize Scheme For Stochastic Gradient Descent, by Xiang Li and Qiaomin Xie
Summary of Deep Random Features For Scalable Interpolation Of Spatiotemporal Data, by Weibin Chen et al.
Summary of Chattime: a Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data, by Chengsen Wang and Qi Qi and Jingyu Wang and Haifeng Sun and Zirui Zhuang and Jinming Wu and Lei Zhang and Jianxin Liao
Summary of Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities, by Xiannan Huang et al.
Summary of Finlora: Finetuning Quantized Financial Large Language Models Using Low-rank Adaptation, by Dannong Wang et al.
Summary of Stdhl: Spatio-temporal Dynamic Hypergraph Learning For Wind Power Forecasting, by Xiaochong Dong et al.
Summary of Quantization Of Climate Change Impacts on Renewable Energy Generation Capacity: a Super-resolution Recurrent Diffusion Model, by Xiaochong Dong et al.
Summary of Why Does Chatgpt “delve” So Much? Exploring the Sources Of Lexical Overrepresentation in Large Language Models, by Tom S. Juzek et al.
Summary of Scaled Conjugate Gradient Method For Nonconvex Optimization in Deep Neural Networks, by Naoki Sato et al.
Summary of Modeling Inter-intra Heterogeneity For Graph Federated Learning, by Wentao Yu et al.
Summary of Abc3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments, by Taehun Cha and Donghun Lee
Summary of Impact Of Adversarial Attacks on Deep Learning Model Explainability, by Gazi Nazia Nur et al.
Summary of Latent Reward: Llm-empowered Credit Assignment in Episodic Reinforcement Learning, by Yun Qu et al.
Summary of Paid with Models: Optimal Contract Design For Collaborative Machine Learning, by Bingchen Wang et al.
Summary of Feature Engineering Vs. Deep Learning For Paper Section Identification: Toward Applications in Chinese Medical Literature, by Sijia Zhou et al.
Summary of Safe Reinforcement Learning Using Finite-horizon Gradient-based Estimation, by Juntao Dai et al.
Summary of Visymre: Vision-guided Multimodal Symbolic Regression, by Da Li et al.
Summary of Partial Identifiability in Inverse Reinforcement Learning For Agents with Non-exponential Discounting, by Joar Skalse and Alessandro Abate
Summary of Early Concept Drift Detection Via Prediction Uncertainty, by Pengqian Lu et al.
Summary of Pgd-imp: Rethinking and Unleashing Potential Of Classic Pgd with Dual Strategies For Imperceptible Adversarial Attacks, by Jin Li et al.
Summary of Otlrm: Orthogonal Learning-based Low-rank Metric For Multi-dimensional Inverse Problems, by Xiangming Wang et al.
Summary of Missing Data Imputation For Noisy Time-series Data and Applications in Healthcare, by Lien P. Le et al.
Summary of Learning Latent Spaces For Domain Generalization in Time Series Forecasting, by Songgaojun Deng and Maarten De Rijke