Paper List

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Summary of Automatic Feature Selection and Weighting in Molecular Systems Using Differentiable Information Imbalance, by Romina Wild et al.
Summary of Gwq: Gradient-aware Weight Quantization For Large Language Models, by Yihua Shao et al.
Summary of Ef-llm: Energy Forecasting Llm with Ai-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection, by Zihang Qiu et al.
Summary of Physics in Next-token Prediction, by Hongjun An and Yiliang Song and Xuelong Li
Summary of Beyond the Boundaries Of Proximal Policy Optimization, by Charlie B. Tan et al.
Summary of Monta: Accelerating Mixture-of-experts Training with Network-traffc-aware Parallel Optimization, by Jingming Guo et al.
Summary of Taxabind: a Unified Embedding Space For Ecological Applications, by Srikumar Sastry et al.
Summary of Zipfian Whitening, by Sho Yokoi et al.
Summary of Explainable Few-shot Learning Workflow For Detecting Invasive and Exotic Tree Species, by Caroline M. Gevaert et al.
Summary of Ctpd: Cross-modal Temporal Pattern Discovery For Enhanced Multimodal Electronic Health Records Analysis, by Fuying Wang et al.
Summary of Rematching Dynamic Reconstruction Flow, by Sara Oblak et al.
Summary of Wasserstein Flow Matching: Generative Modeling Over Families Of Distributions, by Doron Haviv et al.
Summary of Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms, by Thanh Nguyen-tang et al.
Summary of Pedsleepmae: Generative Model For Multimodal Pediatric Sleep Signals, by Saurav R. Pandey et al.
Summary of Debiasify: Self-distillation For Unsupervised Bias Mitigation, by Nourhan Bayasi et al.
Summary of B-cosification: Transforming Deep Neural Networks to Be Inherently Interpretable, by Shreyash Arya et al.
Summary of Token-level Proximal Policy Optimization For Query Generation, by Yichen Ouyang et al.
Summary of Exploring Multi-modality Dynamics: Insights and Challenges in Multimodal Fusion For Biomedical Tasks, by Laura Wenderoth
Summary of Decoding Dark Matter: Specialized Sparse Autoencoders For Interpreting Rare Concepts in Foundation Models, by Aashiq Muhamed et al.
Summary of Private, Augmentation-robust and Task-agnostic Data Valuation Approach For Data Marketplace, by Tayyebeh Jahani-nezhad et al.
Summary of Mitigating Tail Narrowing in Llm Self-improvement Via Socratic-guided Sampling, by Yiwen Ding et al.
Summary of Hierarchical Transformer For Electrocardiogram Diagnosis, by Xiaoya Tang et al.
Summary of Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching, by Etrit Haxholli et al.
Summary of Outlier-oriented Poisoning Attack: a Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning, By Anum Paracha and Junaid Arshad and Mohamed Ben Farah and Khalid Ismail
Summary of Cross-modal Semantic Segmentation For Indoor Environmental Perception Using Single-chip Millimeter-wave Radar Raw Data, by Hairuo Hu et al.
Summary of Analyzing Multimodal Integration in the Variational Autoencoder From An Information-theoretic Perspective, by Carlotta Langer et al.
Summary of 3d Equivariant Pose Regression Via Direct Wigner-d Harmonics Prediction, by Jongmin Lee et al.
Summary of Active Preference-based Learning For Multi-dimensional Personalization, by Minhyeon Oh et al.
Summary of Generative Ai-based Pipeline Architecture For Increasing Training Efficiency in Intelligent Weed Control Systems, by Sourav Modak et al.
Summary of Is Multiple Object Tracking a Matter Of Specialization?, by Gianluca Mancusi et al.
Summary of Conditional Synthesis Of 3d Molecules with Time Correction Sampler, by Hojung Jung et al.
Summary of Improving Self-training Under Distribution Shifts Via Anchored Confidence with Theoretical Guarantees, by Taejong Joo et al.
Summary of Constrained Sampling with Primal-dual Langevin Monte Carlo, by Luiz F. O. Chamon and Mohammad Reza Karimi and Anna Korba
Summary of Adapting Language Models Via Token Translation, by Zhili Feng et al.
Summary of Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation, by Tian Xu et al.
Summary of Fast and Scalable Wasserstein-1 Neural Optimal Transport Solver For Single-cell Perturbation Prediction, by Yanshuo Chen et al.
Summary of Nonparametric Estimation Of Hawkes Processes with Rkhss, by Anna Bonnet and Maxime Sangnier
Summary of Dual Low-rank Adaptation For Continual Learning with Pre-trained Models, by Huancheng Chen and Jingtao Li and Nidham Gazagnadou and Weiming Zhuang and Chen Chen and Lingjuan Lyu
Summary of Investigating the Gestalt Principle Of Closure in Deep Convolutional Neural Networks, by Yuyan Zhang et al.
Summary of Pcotta: Continual Test-time Adaptation For Multi-task Point Cloud Understanding, by Jincen Jiang et al.
Summary of Variational Neural Stochastic Differential Equations with Change Points, by Yousef El-laham et al.
Summary of Rethinking Node Representation Interpretation Through Relation Coherence, by Ying-chun Lin et al.
Summary of Towards High-fidelity Head Blending with Chroma Keying For Industrial Applications, by Hah Min Lew et al.
Summary of Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization, By Junlin He et al.
Summary of Metametrics-mt: Tuning Meta-metrics For Machine Translation Via Human Preference Calibration, by David Anugraha et al.
Summary of Preventing Dimensional Collapse in Self-supervised Learning Via Orthogonality Regularization, by Junlin He et al.
Summary of Advantages Of Neural Population Coding For Deep Learning, by Heiko Hoffmann
Summary of Right This Way: Can Vlms Guide Us to See More to Answer Questions?, by Li Liu et al.
Summary of Statistical Guarantees For Lifelong Reinforcement Learning Using Pac-bayesian Theory, by Zhi Zhang et al.
Summary of Fast Adaptation with Kernel and Gradient Based Meta Leaning, by Juneyoung Park and Minjae Kang
Summary of Haver: Instance-dependent Error Bounds For Maximum Mean Estimation and Applications to Q-learning, by Tuan Ngo Nguyen and Kwang-sung Jun
Summary of Mod: a Distribution-based Approach For Merging Large Language Models, by Quy-anh Dang et al.
Summary of Black-box Forgetting, by Yusuke Kuwana et al.
Summary of Enhancing Authorship Attribution Through Embedding Fusion: a Novel Approach with Masked and Encoder-decoder Language Models, by Arjun Ramesh Kaushik et al.
Summary of Adapting While Learning: Grounding Llms For Scientific Problems with Intelligent Tool Usage Adaptation, by Bohan Lyu et al.
Summary of A Kan-based Interpretable Framework For Process-informed Prediction Of Global Warming Potential, by Jaewook Lee et al.
Summary of Class Incremental Learning with Task-specific Batch Normalization and Out-of-distribution Detection, by Xuchen Xie et al.
Summary of Improving Few-shot Cross-domain Named Entity Recognition by Instruction Tuning a Word-embedding Based Retrieval Augmented Large Language Model, By Subhadip Nandi and Neeraj Agrawal
Summary of Diffusion Models As Network Optimizers: Explorations and Analysis, by Ruihuai Liang et al.
Summary of Unlocking Your Sales Insights: Advanced Xgboost Forecasting Models For Amazon Products, by Meng Wang et al.
Summary of A Multi-granularity Supervised Contrastive Framework For Remaining Useful Life Prediction Of Aero-engines, by Zixuan He et al.
Summary of Uncertainty-based Offline Variational Bayesian Reinforcement Learning For Robustness Under Diverse Data Corruptions, by Rui Yang et al.
Summary of Exploring the Precise Dynamics Of Single-layer Gan Models: Leveraging Multi-feature Discriminators For High-dimensional Subspace Learning, by Andrew Bond et al.
Summary of Efficient Model Compression For Bayesian Neural Networks, by Diptarka Saha et al.
Summary of Kan-ad: Time Series Anomaly Detection with Kolmogorov-arnold Networks, by Quan Zhou et al.
Summary of Adaptive Residual Transformation For Enhanced Feature-based Ood Detection in Sar Imagery, by Kyung-hwan Lee and Kyung-tae Kim
Summary of Improving Traffic Flow Predictions with Sgcn-lstm: a Hybrid Model For Spatial and Temporal Dependencies, by Alexandru T. Cismaru
Summary of Mbexplainer: Multilevel Bandit-based Explanations For Downstream Models with Augmented Graph Embeddings, by Ashkan Golgoon et al.
Summary of Inducing Semi-structured Sparsity by Masking For Efficient Model Inference in Convolutional Networks, By David A. Danhofer
Summary of Radflag: a Black-box Hallucination Detection Method For Medical Vision Language Models, by Serena Zhang et al.
Summary of C2a: Client-customized Adaptation For Parameter-efficient Federated Learning, by Yeachan Kim et al.
Summary of Constant Acceleration Flow, by Dogyun Park et al.
Summary of How Many Classifiers Do We Need?, by Hyunsuk Kim et al.
Summary of Personalized Federated Learning Via Feature Distribution Adaptation, by Connor J. Mclaughlin et al.
Summary of Unified Theory Of Upper Confidence Bound Policies For Bandit Problems Targeting Total Reward, Maximal Reward, and More, by Nobuaki Kikkawa et al.
Summary of Textdestroyer: a Training- and Annotation-free Diffusion Method For Destroying Anomal Text From Images, by Mengcheng Li et al.
Summary of Stepcountjitai: Simulation Environment For Rl with Application to Physical Activity Adaptive Intervention, by Karine Karine and Benjamin M. Marlin
Summary of Constrained Diffusion Implicit Models, by Vivek Jayaram et al.
Summary of A Simple Remedy For Dataset Bias Via Self-influence: a Mislabeled Sample Perspective, by Yeonsung Jung et al.
Summary of Hierarchical Preference Optimization: Learning to Achieve Goals Via Feasible Subgoals Prediction, by Utsav Singh et al.
Summary of Generalizability Of Memorization Neural Networks, by Lijia Yu and Xiao-shan Gao and Lijun Zhang and Yibo Miao
Summary of Ross:robust Decentralized Stochastic Learning Based on Shapley Values, by Lina Wang et al.
Summary of Communication Learning in Multi-agent Systems From Graph Modeling Perspective, by Shengchao Hu et al.
Summary of Seafloorai: a Large-scale Vision-language Dataset For Seafloor Geological Survey, by Kien X. Nguyen and Fengchun Qiao and Arthur Trembanis and Xi Peng
Summary of Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking, by Pranav Singh Chib et al.
Summary of Self-healing Machine Learning: a Framework For Autonomous Adaptation in Real-world Environments, by Paulius Rauba et al.
Summary of Monitoring Fairness in Machine Learning Models That Predict Patient Mortality in the Icu, by Tempest A. Van Schaik et al.
Summary of Compositional Automata Embeddings For Goal-conditioned Reinforcement Learning, by Beyazit Yalcinkaya et al.
Summary of Meds-tab: Automated Tabularization and Baseline Methods For Meds Datasets, by Nassim Oufattole et al.
Summary of Semantic Knowledge Distillation For Onboard Satellite Earth Observation Image Classification, by Thanh-dung Le et al.
Summary of Learning Mixtures Of Unknown Causal Interventions, by Abhinav Kumar et al.
Summary of Inclusive Kl Minimization: a Wasserstein-fisher-rao Gradient Flow Perspective, by Jia-jie Zhu
Summary of Understanding the Limits Of Vision Language Models Through the Lens Of the Binding Problem, by Declan Campbell et al.
Summary of Minimum Empirical Divergence For Sub-gaussian Linear Bandits, by Kapilan Balagopalan and Kwang-sung Jun
Summary of Residual Transformer Alignment with Spectral Decomposition, by Lorenzo Basile et al.
Summary of Deep Learning Through a Telescoping Lens: a Simple Model Provides Empirical Insights on Grokking, Gradient Boosting & Beyond, by Alan Jeffares et al.
Summary of Io Transformer: Evaluating Swinv2-based Reward Models For Computer Vision, by Maxwell Meyer and Jack Spruyt
Summary of Enhancing Diversity in Bayesian Deep Learning Via Hyperspherical Energy Minimization Of Cka, by David Smerkous et al.
Summary of Space For Improvement: Navigating the Design Space For Federated Learning in Satellite Constellations, by Grace Kim et al.
Summary of Quantifying Calibration Error in Modern Neural Networks Through Evidence Based Theory, by Koffi Ismael Ouattara