Paper List

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Summary of Federated Graph Learning with Structure Proxy Alignment, by Xingbo Fu et al.
Summary of Clustering and Alignment: Understanding the Training Dynamics in Modular Addition, by Tiberiu Musat
Summary of Reefknot: a Comprehensive Benchmark For Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models, by Kening Zheng et al.
Summary of Adarank: Disagreement Based Module Rank Prediction For Low-rank Adaptation, by Yihe Dong
Summary of Error Bounds For Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification, by Robert Reed et al.
Summary of Improving Vte Identification Through Language Models From Radiology Reports: a Comparative Study Of Mamba, Phi-3 Mini, and Bert, by Jamie Deng et al.
Summary of Learning to Route For Dynamic Adapter Composition in Continual Learning with Language Models, by Vladimir Araujo et al.
Summary of Linking Robustness and Generalization: a K* Distribution Analysis Of Concept Clustering in Latent Space For Vision Models, by Shashank Kotyan et al.
Summary of Mora: Lora Guided Multi-modal Disease Diagnosis with Missing Modality, by Zhiyi Shi et al.
Summary of Gradient-variation Online Learning Under Generalized Smoothness, by Yan-feng Xie et al.
Summary of Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation For Hierarchical Federated Learning, by Rung-hung Gau et al.
Summary of Improving Rare Word Translation with Dictionaries and Attention Masking, by Kenneth J. Sible et al.
Summary of Dynamic Graph Representation Learning For Passenger Behavior Prediction, by Mingxuan Xie et al.
Summary of Training Verifiably Robust Agents Using Set-based Reinforcement Learning, by Manuel Wendl et al.
Summary of Selective Prompt Anchoring For Code Generation, by Yuan Tian et al.
Summary of Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning, by Rishabh Agrawal et al.
Summary of Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs, by Hao Li et al.
Summary of Vanilla Gradient Descent For Oblique Decision Trees, by Subrat Prasad Panda et al.
Summary of Learning to Explore For Stochastic Gradient Mcmc, by Seunghyun Kim et al.
Summary of On the Kl-divergence-based Robust Satisficing Model, by Haojie Yan et al.
Summary of Linear Attention Is Enough in Spatial-temporal Forecasting, by Xinyu Ning
Summary of Zero-shot Object-centric Representation Learning, by Aniket Didolkar and Andrii Zadaianchuk and Anirudh Goyal and Mike Mozer and Yoshua Bengio and Georg Martius and Maximilian Seitzer
Summary of Sa-gda: Spectral Augmentation For Graph Domain Adaptation, by Jinhui Pang et al.
Summary of Cat: Caution Aware Transfer in Reinforcement Learning Via Distributional Risk, by Mohamad Fares El Hajj Chehade et al.
Summary of An Empirical Examination Of Balancing Strategy For Counterfactual Estimation on Time Series, by Qiang Huang et al.
Summary of Optimal Symmetries in Binary Classification, by Vishal S. Ngairangbam et al.
Summary of Levis: Large Exact Verifiable Input Spaces For Neural Networks, by Mohamad Fares El Hajj Chehade et al.
Summary of Shapley Marginal Surplus For Strong Models, by Daniel De Marchi et al.
Summary of Entropy Coding Of Unordered Data Structures, by Julius Kunze et al.
Summary of Geotransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention, by Yuhao Jia et al.
Summary of Stochastic Bandits Robust to Adversarial Attacks, by Xuchuang Wang et al.
Summary of Visual Agents As Fast and Slow Thinkers, by Guangyan Sun et al.
Summary of Pedal: Enhancing Greedy Decoding with Large Language Models Using Diverse Exemplars, by Sumanth Prabhu
Summary of A Hassle-free Algorithm For Private Learning in Practice: Don’t Use Tree Aggregation, Use Blts, by H. Brendan Mcmahan et al.
Summary of A Classifier-based Approach to Multi-class Anomaly Detection Applied to Astronomical Time-series, by Rithwik Gupta et al.
Summary of Information-theoretic Progress Measures Reveal Grokking Is An Emergent Phase Transition, by Kenzo Clauw et al.
Summary of Asgm-kg: Unveiling Alluvial Gold Mining Through Knowledge Graphs, by Debashis Gupta et al.
Summary of Enhancing Object Detection with Hybrid Dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques, by Vinit Hegiste et al.
Summary of Electroencephalogram Emotion Recognition Via Auc Maximization, by Minheng Xiao et al.
Summary of Model-based Rl As a Minimalist Approach to Horizon-free and Second-order Bounds, by Zhiyong Wang et al.
Summary of Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators, by Unique Subedi et al.
Summary of Classifier-free Guidance Is a Predictor-corrector, by Arwen Bradley et al.
Summary of An Optimal Pairwise Merge Algorithm Improves the Quality and Consistency Of Nonnegative Matrix Factorization, by Youdong Guo et al.
Summary of Misclassification Excess Risk Bounds For Pac-bayesian Classification Via Convexified Loss, by the Tien Mai
Summary of A Multivocal Literature Review on Privacy and Fairness in Federated Learning, by Beatrice Balbierer et al.
Summary of Neural Reward Machines, by Elena Umili et al.
Summary of A Mean Field Ansatz For Zero-shot Weight Transfer, by Xingyuan Chen et al.
Summary of Research on Personalized Compression Algorithm For Pre-trained Models Based on Homomorphic Entropy Increase, by Yicong Li et al.
Summary of Can Large Language Models Improve the Adversarial Robustness Of Graph Neural Networks?, by Zhongjian Zhang et al.
Summary of Turning Trash Into Treasure: Accelerating Inference Of Large Language Models with Token Recycling, by Xianzhen Luo et al.
Summary of Explore-then-commit Algorithms For Decentralized Two-sided Matching Markets, by Tejas Pagare and Avishek Ghosh
Summary of Rbla: Rank-based-lora-aggregation For Fine-tuning Heterogeneous Models in Flaas, by Shuaijun Chen et al.
Summary of Efficient Multi-policy Evaluation For Reinforcement Learning, by Shuze Daniel Liu et al.
Summary of Ctr-kan: Kan For Adaptive High-order Feature Interaction Modeling, by Yunxiao Shi et al.
Summary of Beam Prediction Based on Large Language Models, by Yucheng Sheng et al.
Summary of Mitigating Information Loss in Tree-based Reinforcement Learning Via Direct Optimization, by Sascha Marton et al.
Summary of Pessimistic Iterative Planning For Robust Pomdps, by Maris F. L. Galesloot et al.
Summary of Self-explainable Graph Transformer For Link Sign Prediction, by Lu Li et al.
Summary of Speckle Noise Analysis For Synthetic Aperture Radar (sar) Space Data, by Sanjjushri Varshini R et al.
Summary of Neighbor Overlay-induced Graph Attention Network, by Tiqiao Wei and Ye Yuan
Summary of Near: a Training-free Pre-estimator Of Machine Learning Model Performance, by Raphael T. Husistein et al.
Summary of Representation Learning Of Geometric Trees, by Zheng Zhang et al.
Summary of Constructing Domain-specific Evaluation Sets For Llm-as-a-judge, by Ravi Raju et al.
Summary of The Limitations Of Model Retraining in the Face Of Performativity, by Anmol Kabra et al.
Summary of Mitigating Degree Bias in Signed Graph Neural Networks, by Fang He et al.
Summary of Inverse Design with Conditional Cascaded Diffusion Models, by Milad Habibi et al.
Summary of Unsupervised Transfer Learning Via Adversarial Contrastive Training, by Chenguang Duan et al.
Summary of Where Is the Signal in Tokenization Space?, by Renato Lui Geh and Honghua Zhang and Kareem Ahmed and Benjie Wang and Guy Van Den Broeck
Summary of A Training Regime to Learn Unified Representations From Complementary Breast Imaging Modalities, by Umang Sharma et al.
Summary of Abq-llm: Arbitrary-bit Quantized Inference Acceleration For Large Language Models, by Chao Zeng et al.
Summary of Grassnet: State Space Model Meets Graph Neural Network, by Gongpei Zhao et al.
Summary of Linear Combinations Of Latents in Generative Models: Subspaces and Beyond, by Erik Bodin et al.
Summary of A Mechanistic Interpretation Of Syllogistic Reasoning in Auto-regressive Language Models, by Geonhee Kim et al.
Summary of Radiodiff: An Effective Generative Diffusion Model For Sampling-free Dynamic Radio Map Construction, by Xiucheng Wang and Keda Tao and Nan Cheng and Zhisheng Yin and Zan Li and Yuan Zhang and Xuemin Shen
Summary of Generative Dataset Distillation Based on Diffusion Model, by Duo Su et al.
Summary of Deepdfa: Automata Learning Through Neural Probabilistic Relaxations, by Elena Umili and Roberto Capobianco
Summary of A Survey on Secure Decentralized Optimization and Learning, by Changxin Liu et al.
Summary of Navigating Uncertainties in Machine Learning For Structural Dynamics: a Comprehensive Review Of Probabilistic and Non-probabilistic Approaches in Forward and Inverse Problems, by Wang-ji Yan (1 and 2) et al.
Summary of The Power Of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy, by Jiating Ma et al.
Summary of Textcavs: Debugging Vision Models Using Text, by Angus Nicolson et al.
Summary of Mitigating Backdoor Attacks in Federated Learning Via Flipping Weight Updates Of Low-activation Input Neurons, by Binbin Ding et al.
Summary of A New Perspective on Bayesian Operational Modal Analysis, by Brandon J. O’connell et al.
Summary of Mia-tuner: Adapting Large Language Models As Pre-training Text Detector, by Wenjie Fu et al.
Summary of Turboedit: Instant Text-based Image Editing, by Zongze Wu et al.
Summary of Activation Space Selectable Kolmogorov-arnold Networks, by Zhuoqin Yang et al.
Summary of Training Large-scale Optical Neural Networks with Two-pass Forward Propagation, by Amirreza Ahmadnejad et al.
Summary of Metr: Image Watermarking with Large Number Of Unique Messages, by Alexander Varlamov et al.
Summary of Towards Realistic Synthetic User-generated Content: a Scaffolding Approach to Generating Online Discussions, by Krisztian Balog and John Palowitch and Barbara Ikica and Filip Radlinski and Hamidreza Alvari and Mehdi Manshadi
Summary of Evaluating Text Classification Robustness to Part-of-speech Adversarial Examples, by Anahita Samadi and Allison Sullivan
Summary of Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains Via Intrinsic Dimension, by Nicholas Konz et al.
Summary of Classification Of High-dimensional Time Series in Spectral Domain Using Explainable Features, by Sarbojit Roy et al.
Summary of Random Gradient Masking As a Defensive Measure to Deep Leakage in Federated Learning, by Joon Kim et al.
Summary of An Efficient and Explainable Transformer-based Few-shot Learning For Modeling Electricity Consumption Profiles Across Thousands Of Domains, by Weijie Xia et al.
Summary of D5rl: Diverse Datasets For Data-driven Deep Reinforcement Learning, by Rafael Rafailov et al.
Summary of W-rag: Weakly Supervised Dense Retrieval in Rag For Open-domain Question Answering, by Jinming Nian et al.
Summary of Lifelong Reinforcement Learning Via Neuromodulation, by Sebastian Lee et al.
Summary of Exploring Cross-model Neuronal Correlations in the Context Of Predicting Model Performance and Generalizability, by Haniyeh Ehsani Oskouie et al.
Summary of Beyond Uniform Query Distribution: Key-driven Grouped Query Attention, by Zohaib Khan et al.
Summary of An Unsupervised Learning Framework Combined with Heuristics For the Maximum Minimal Cut Problem, by Huaiyuan Liu et al.
Summary of Jpeg-lm: Llms As Image Generators with Canonical Codec Representations, by Xiaochuang Han et al.