Paper List

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Summary of Siamese Machine Unlearning with Knowledge Vaporization and Concentration, by Songjie Xie et al.
Summary of First Numerical Observation Of the Berezinskii-kosterlitz-thouless Transition in Language Models, by Yuma Toji et al.
Summary of Esurvfusion: An Evidential Multimodal Survival Fusion Model Based on Gaussian Random Fuzzy Numbers, by Ling Huang et al.
Summary of Fd-llm: Large Language Model For Fault Diagnosis Of Machines, by Hamzah A.a.m. Qaid et al.
Summary of Quantum Pointwise Convolution: a Flexible and Scalable Approach For Neural Network Enhancement, by An Ning et al.
Summary of Revisiting Generative Policies: a Simpler Reinforcement Learning Algorithmic Perspective, by Jinouwen Zhang et al.
Summary of Yi-lightning Technical Report, by Alan Wake et al.
Summary of Competition Dynamics Shape Algorithmic Phases Of In-context Learning, by Core Francisco Park et al.
Summary of E-fold Cross-validation For Recommender-system Evaluation, by Moritz Baumgart et al.
Summary of A Note on Estimation Error Bound and Grouping Effect Of Transfer Elastic Net, by Yui Tomo
Summary of Jacobian-enforced Neural Networks (jenn) For Improved Data Assimilation Consistency in Dynamical Models, by Xiaoxu Tian
Summary of Detecting Memorization in Large Language Models, by Eduardo Slonski
Summary of On the Feature Learning in Diffusion Models, by Andi Han et al.
Summary of Learning Structured Representations with Hyperbolic Embeddings, by Aditya Sinha et al.
Summary of Saup: Situation Awareness Uncertainty Propagation on Llm Agent, by Qiwei Zhao et al.
Summary of Research on Optimizing Real-time Data Processing in High-frequency Trading Algorithms Using Machine Learning, by Yuxin Fan et al.
Summary of Adaptive Traffic Element-based Streetlight Control Using Neighbor Discovery Algorithm Based on Iot Events, by Yupeng Tan et al.
Summary of Musicnet: a Gradual Coarse-to-fine Framework For Irregularly Sampled Multivariate Time Series Analysis, by Jiexi Liu et al.
Summary of Float: Generative Motion Latent Flow Matching For Audio-driven Talking Portrait, by Taekyung Ki et al.
Summary of Lookahead Counterfactual Fairness, by Zhiqun Zuo and Tian Xie and Xuwei Tan and Xueru Zhang and Mohammad Mahdi Khalili
Summary of Multi-agent Deep Reinforcement Learning For Distributed and Autonomous Platoon Coordination Via Speed-regulation Over Large-scale Transportation Networks, by Dixiao Wei (1) et al.
Summary of Gated Parametric Neuron For Spike-based Audio Recognition, by Haoran Wang and Herui Zhang and Siyang Li and Dongrui Wu
Summary of Federated Motor Imagery Classification For Privacy-preserving Brain-computer Interfaces, by Tianwang Jia et al.
Summary of Vera: Explainable Video Anomaly Detection Via Verbalized Learning Of Vision-language Models, by Muchao Ye et al.
Summary of Personalized Coupled Tensor Decomposition For Multimodal Data Fusion: Uniqueness and Algorithms, by Ricardo Augusto Borsoi et al.
Summary of Spatial Conformal Inference Through Localized Quantile Regression, by Hanyang Jiang et al.
Summary of Multi-scale Representation Learning For Protein Fitness Prediction, by Zuobai Zhang et al.
Summary of Thermal Vision: Pioneering Non-invasive Temperature Tracking in Congested Spaces, by Arijit Samal et al.
Summary of Deep Evolving Semi-supervised Anomaly Detection, by Jack Belham et al.
Summary of Spildl: a Scalable and Parallel Inductive Learner in Description Logic, by Eyad Algahtani
Summary of Explicit and Data-efficient Encoding Via Gradient Flow, by Kyriakos Flouris et al.
Summary of Dynamic-llava: Efficient Multimodal Large Language Models Via Dynamic Vision-language Context Sparsification, by Wenxuan Huang et al.
Summary of Quantifying Perturbation Impacts For Large Language Models, by Paulius Rauba et al.
Summary of Lightweight Contenders: Navigating Semi-supervised Text Mining Through Peer Collaboration and Self Transcendence, by Qianren Mao et al.
Summary of Leveraging Intermediate Neural Collapse with Simplex Etfs For Efficient Deep Neural Networks, by Emily Liu
Summary of A Deep Generative Model For the Design Of Synthesizable Ionizable Lipids, by Yuxuan Ou et al.
Summary of Calibration Through the Lens Of Interpretability, by Alireza Torabian et al.
Summary of Steve-audio: Expanding the Goal Conditioning Modalities Of Embodied Agents in Minecraft, by Nicholas Lenzen et al.
Summary of Bilinear Convolution Decomposition For Causal Rl Interpretability, by Narmeen Oozeer et al.
Summary of Token Cropr: Faster Vits For Quite a Few Tasks, by Benjamin Bergner et al.
Summary of Optimal Algorithms For Augmented Testing Of Discrete Distributions, by Maryam Aliakbarpour et al.
Summary of From Priest to Doctor: Domain Adaptation For Low-resource Neural Machine Translation, by Ali Marashian et al.
Summary of Hierarchical Prompt Decision Transformer: Improving Few-shot Policy Generalization with Global and Adaptive Guidance, by Zhe Wang et al.
Summary of Incentivizing Truthful Collaboration in Heterogeneous Federated Learning, by Dimitar Chakarov et al.
Summary of Dssrnn: Decomposition-enhanced State-space Recurrent Neural Network For Time-series Analysis, by Ahmad Mohammadshirazi et al.
Summary of Provable Partially Observable Reinforcement Learning with Privileged Information, by Yang Cai et al.
Summary of Tgtod: a Global Temporal Graph Transformer For Outlier Detection at Scale, by Kay Liu et al.
Summary of Improving Decoupled Posterior Sampling For Inverse Problems Using Data Consistency Constraint, by Zhi Qi et al.
Summary of Mean-field Sampling For Cooperative Multi-agent Reinforcement Learning, by Emile Anand et al.
Summary of Paint Outside the Box: Synthesizing and Selecting Training Data For Visual Grounding, by Zilin Du et al.
Summary of Towards Privacy-preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified Resnet Architecture, by Mohamad Haj Fares et al.
Summary of Intermediate Outputs Are More Sensitive Than You Think, by Tao Huang et al.
Summary of Bridging Fairness Gaps: a (conditional) Distance Covariance Perspective in Fairness Learning, by Ruifan Huang et al.
Summary of Decision Transformer Vs. Decision Mamba: Analysing the Complexity Of Sequential Decision Making in Atari Games, by Ke Yan
Summary of Perturb and Recover: Fine-tuning For Effective Backdoor Removal From Clip, by Naman Deep Singh et al.
Summary of Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer, by Jiahao Cui et al.
Summary of Learning to Forget Using Hypernetworks, by Jose Miguel Lara Rangel et al.
Summary of A Wave Is Worth 100 Words: Investigating Cross-domain Transferability in Time Series, by Xiangkai Ma et al.
Summary of Prompt As Free Lunch: Enhancing Diversity in Source-free Cross-domain Few-shot Learning Through Semantic-guided Prompting, by Linhai Zhuo et al.
Summary of Learning Mamba As a Continual Learner: Meta-learning Selective State Space Models For Efficient Continual Learning, by Chongyang Zhao and Dong Gong
Summary of Proper Latent Decomposition, by Daniel Kelshaw et al.
Summary of A Cognac Shot to Forget Bad Memories: Corrective Unlearning in Gnns, by Varshita Kolipaka et al.
Summary of Online Poisoning Attack Against Reinforcement Learning Under Black-box Environments, by Jianhui Li et al.
Summary of Combinatorial Rising Bandit, by Seockbean Song et al.
Summary of A Comprehensive Guide to Explainable Ai: From Classical Models to Llms, by Weiche Hsieh et al.
Summary of Generative Model For Synthesizing Ionizable Lipids: a Monte Carlo Tree Search Approach, by Jingyi Zhao et al.
Summary of Ht-hedl: High-throughput Hypothesis Evaluation in Description Logic, by Eyad Algahtani
Summary of Homeostasis and Sparsity in Transformer, by Leonid Kotyuzanskiy et al.
Summary of Graph-to-sfiles: Control Structure Prediction From Process Topologies Using Generative Artificial Intelligence, by Lukas Schulze Balhorn et al.
Summary of A Self-explainable Heterogeneous Gnn For Relational Deep Learning, by Francesco Ferrini et al.
Summary of Forma Mentis Networks Predict Creativity Ratings Of Short Texts Via Interpretable Artificial Intelligence in Human and Gpt-simulated Raters, by Edith Haim et al.
Summary of Towards Fault Tolerance in Multi-agent Reinforcement Learning, by Yuchen Shi et al.
Summary of Robo6: Standardized Mmt Light Curve Dataset For Rocket Body Classification, by Daniel Kyselica et al.
Summary of Optimal Particle-based Approximation Of Discrete Distributions (opad), by Hadi Mohasel Afshar et al.
Summary of Rank It, Then Ask It: Input Reranking For Maximizing the Performance Of Llms on Symmetric Tasks, by Mohsen Dehghankar et al.
Summary of Seqwen at the Financial Misinformation Detection Challenge Task: Sequential Learning For Claim Verification and Explanation Generation in Financial Domains, by Jebish Purbey et al.
Summary of The Well: a Large-scale Collection Of Diverse Physics Simulations For Machine Learning, by Ruben Ohana et al.
Summary of Friend or Foe? Harnessing Controllable Overfitting For Anomaly Detection, by Long Qian and Bingke Zhu and Yingying Chen and Ming Tang and Jinqiao Wang
Summary of Blind Inverse Problem Solving Made Easy by Text-to-image Latent Diffusion, By Michail Dontas et al.
Summary of Generative Lidar Editing with Controllable Novel Object Layouts, by Shing-hei Ho et al.
Summary of Exploration and Evaluation Of Bias in Cyberbullying Detection with Machine Learning, by Andrew Root et al.
Summary of Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyen, by Akhila Vangara et al.
Summary of Revisit Non-parametric Two-sample Testing As a Semi-supervised Learning Problem, by Xunye Tian et al.
Summary of Visual Modality Prompt For Adapting Vision-language Object Detectors, by Heitor R. Medeiros et al.
Summary of Rose: a Reward-oriented Data Selection Framework For Llm Task-specific Instruction Tuning, by Yang Wu et al.
Summary of Predictive Inference with Fast Feature Conformal Prediction, by Zihao Tang et al.
Summary of Dfrot: Achieving Outlier-free and Massive Activation-free For Rotated Llms with Refined Rotation, by Jingyang Xiang et al.
Summary of One Model For One Graph: a New Perspective For Pretraining with Cross-domain Graphs, by Jingzhe Liu et al.
Summary of Himoe: Heterogeneity-informed Mixture-of-experts For Fair Spatial-temporal Forecasting, by Shaohan Yu et al.
Summary of On the Role Of Noise in Factorizers For Disentangling Distributed Representations, by Geethan Karunaratne et al.
Summary of Nonlinearity and Uncertainty Informed Moment-matching Gaussian Mixture Splitting, by Jackson Kulik and Keith A. Legrand
Summary of Lmseg: Unleashing the Power Of Large-scale Models For Open-vocabulary Semantic Segmentation, by Huadong Tang et al.
Summary of Random Cycle Coding: Lossless Compression Of Cluster Assignments Via Bits-back Coding, by Daniel Severo et al.
Summary of Approximate Fiber Product: a Preliminary Algebraic-geometric Perspective on Multimodal Embedding Alignment, by Dongfang Zhao
Summary of Toward Fair Graph Neural Networks Via Dual-teacher Knowledge Distillation, by Chengyu Li and Debo Cheng and Guixian Zhang and Yi Li and Shichao Zhang
Summary of Unified Parameter-efficient Unlearning For Llms, by Chenlu Ding et al.
Summary of On Foundation Models For Dynamical Systems From Purely Synthetic Data, by Martin Ziegler et al.
Summary of Pal — Parallel Active Learning For Machine-learned Potentials, by Chen Zhou et al.
Summary of Fine-tuning Pre-trained Large Time Series Models For Prediction Of Wind Turbine Scada Data, by Yuwei Fan et al.
Summary of Quake: Speeding Up Model Inference Using Quick and Approximate Kernels For Exponential Non-linearities, by Sai Kiran Narayanaswami and Gopalakrishnan Srinivasan and Balaraman Ravindran