Paper List
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Summary of Heterogeneous Relationships Of Subjects and Shapelets For Semi-supervised Multivariate Series Classification, by Mingsen Du et al.
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Summary of Fames: Fast Approximate Multiplier Substitution For Mixed-precision Quantized Dnns–down to 2 Bits!, by Yi Ren et al.
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Summary of Rl For Mitigating Cascading Failures: Targeted Exploration Via Sensitivity Factors, by Anmol Dwivedi et al.
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Summary of Efficient Self-improvement in Multimodal Large Language Models: a Model-level Judge-free Approach, by Shijian Deng et al.
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Summary of Exploring Aleatoric Uncertainty in Object Detection Via Vision Foundation Models, by Peng Cui et al.
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Summary of Integrating Dual Prototypes For Task-wise Adaption in Pre-trained Model-based Class-incremental Learning, by Zhiming Xu et al.
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Summary of Mts-unmixers: Multivariate Time Series Forecasting Via Channel-time Dual Unmixing, by Xuanbing Zhu et al.
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Summary of Leaning Time-varying Instruments For Identifying Causal Effects in Time-series Data, by Debo Cheng (1) et al.
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Summary of Network Inversion and Its Applications, by Pirzada Suhail et al.
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Summary of Geometric Point Attention Transformer For 3d Shape Reassembly, by Jiahan Li et al.
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Summary of Star: Synthesis Of Tailored Architectures, by Armin W. Thomas et al.
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Summary of Dreamcache: Finetuning-free Lightweight Personalized Image Generation Via Feature Caching, by Emanuele Aiello et al.
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Summary of A Solvable Generative Model with a Linear, One-step Denoiser, by Indranil Halder
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Summary of Rapid Distributed Fine-tuning Of a Segmentation Model Onboard Satellites, by Meghan Plumridge et al.
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Summary of Adaptive Client Selection with Personalization For Communication Efficient Federated Learning, by Allan M. De Souza et al.
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Summary of Scalable Iterative Pruning Of Large Language and Vision Models Using Block Coordinate Descent, by Gili Rosenberg et al.
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Summary of Rock the Kasba: Blazingly Fast and Accurate Time Series Clustering, by Christopher Holder and Anthony Bagnall
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Summary of Integrating Machine Learning and Quantum Circuits For Proton Affinity Predictions, by Hongni Jin et al.
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Summary of Accelerating Proximal Policy Optimization Learning Using Task Prediction For Solving Environments with Delayed Rewards, by Ahmad Ahmad et al.
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Summary of Distributed Sign Momentum with Local Steps For Training Transformers, by Shuhua Yu et al.
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Summary of Longkey: Keyphrase Extraction For Long Documents, by Jeovane Honorio Alves and Radu State and Cinthia Obladen De Almendra Freitas and Jean Paul Barddal
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Summary of Rec-ttt: Contrastive Feature Reconstruction For Test-time Training, by Marco Colussi et al.
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Summary of Rankmap: Priority-aware Multi-dnn Manager For Heterogeneous Embedded Devices, by Andreas Karatzas et al.
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Summary of Navigating Spatial Inequities in Freight Truck Crash Severity Via Counterfactual Inference in Los Angeles, by Yichen Wang et al.
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Summary of Pushing the Limits Of Large Language Model Quantization Via the Linearity Theorem, by Vladimir Malinovskii et al.
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Summary of Learning Explainable Treatment Policies with Clinician-informed Representations: a Practical Approach, by Johannes O. Ferstad et al.
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Summary of Multiscale Spatiotemporal Heterogeneity Analysis Of Bike-sharing System’s Self-loop Phenomenon: Evidence From Shanghai, by Yichen Wang et al.
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Summary of From Fairness to Infinity: Outcome-indistinguishable (omni)prediction in Evolving Graphs, by Cynthia Dwork and Chris Hays and Nicole Immorlica and Juan C. Perdomo and Pranay Tankala
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Summary of What Differentiates Educational Literature? a Multimodal Fusion Approach Of Transformers and Computational Linguistics, by Jordan J. Bird
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Summary of Can Artificial Intelligence Predict Clinical Trial Outcomes?, by Shuyi Jin et al.
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Summary of Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: a Review, by Autumn Nguyen and Sulagna Saha
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Summary of Data-driven Development Of Cycle Prediction Models For Lithium Metal Batteries Using Multi Modal Mining, by Jaewoong Lee et al.
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Summary of Learning Chemical Reaction Representation with Reactant-product Alignment, by Kaipeng Zeng et al.
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Summary of On Limitations Of Llm As Annotator For Low Resource Languages, by Suramya Jadhav et al.
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Summary of Explainable Ai For Classifying Uti Risk Groups Using a Real-world Linked Ehr and Pathology Lab Dataset, by Yujie Dai et al.
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Summary of Anytime Acceleration Of Gradient Descent, by Zihan Zhang et al.
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Summary of Non-contextual Bert or Fasttext? a Comparative Analysis, by Abhay Shanbhag et al.
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Summary of Attamba: Attending to Multi-token States, by Yash Akhauri et al.
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Summary of Instance-aware Graph Prompt Learning, by Jiazheng Li et al.
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Summary of Low-bit Quantization Favors Undertrained Llms: Scaling Laws For Quantized Llms with 100t Training Tokens, by Xu Ouyang et al.
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Summary of Synthetic Data Generation with Llm For Improved Depression Prediction, by Andrea Kang et al.
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Summary of Towards Efficient Neurally-guided Program Induction For Arc-agi, by Simon Ouellette
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Summary of Slidespawn: An Automatic Slides Generation System For Research Publications, by Keshav Kumar et al.
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Summary of A Generalized Unified Skew-normal Process with Neural Bayes Inference, by Kesen Wang and Marc G. Genton
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Summary of Mff-ftnet: Multi-scale Feature Fusion Across Frequency and Temporal Domains For Time Series Forecasting, by Yangyang Shi et al.
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Summary of Robust Bayesian Optimization Via Localized Online Conformal Prediction, by Dongwon Kim et al.
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Summary of Clover: Cross-layer Orthogonal Vectors Pruning and Fine-tuning, by Fanxu Meng et al.
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Summary of Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in Gnns: a Survey, by Hugo Attali et al.
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Summary of Maximally Separated Active Learning, by Tejaswi Kasarla et al.
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Summary of Object-centric Proto-symbolic Behavioural Reasoning From Pixels, by Ruben Van Bergen et al.
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Summary of Sok: Decentralized Ai (deai), by Zhipeng Wang et al.
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Summary of A Graph Neural Network Deep-dive Into Successful Counterattacks, by Joris Bekkers et al.
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Summary of Towards Precise Scaling Laws For Video Diffusion Transformers, by Yuanyang Yin et al.
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Summary of Learning New Concepts, Remembering the Old: a Novel Continual Learning, by Songning Lai et al.
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Summary of Puzzle Similarity: a Perceptually-guided Cross-reference Metric For Artifact Detection in 3d Scene Reconstructions, by Nicolai Hermann et al.
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Summary of Unlocking the Potential Of Text-to-image Diffusion with Pac-bayesian Theory, by Eric Hanchen Jiang et al.
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Summary of Time-series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation Of the State-of-the-art Algorithms, by Mojtaba A. Farahani et al.
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Summary of Inference Scaling Flaws: the Limits Of Llm Resampling with Imperfect Verifiers, by Benedikt Stroebl et al.
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Summary of Training Hamiltonian Neural Networks Without Backpropagation, by Atamert Rahma et al.
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Summary of Neural Network Modelling Of Kinematic and Dynamic Features For Signature Verification, by Moises Diaz et al.
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Summary of Perceptually Optimized Super Resolution, by Volodymyr Karpenko et al.
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Summary of On Statistical Rates Of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality, by Jerry Yao-chieh Hu et al.
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Summary of An In-depth Investigation Of Sparse Rate Reduction in Transformer-like Models, by Yunzhe Hu et al.
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Summary of On the Efficiency Of Nlp-inspired Methods For Tabular Deep Learning, by Anton Frederik Thielmann and Soheila Samiee
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Summary of From Graph Diffusion to Graph Classification, by Jia Jun Cheng Xian et al.
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Summary of Dgnn-yolo: Interpretable Dynamic Graph Neural Networks with Yolo11 For Small Occluded Object Detection and Tracking, by Shahriar Soudeep et al.
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Summary of Apt: Architectural Planning and Text-to-blueprint Construction Using Large Language Models For Open-world Agents, by Jun Yu Chen et al.
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Summary of Graphsubdetector: Time Series Subsequence Anomaly Detection Via Density-aware Adaptive Graph Neural Network, by Weiqi Chen et al.
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Summary of Disentangled Interpretable Representation For Efficient Long-term Time Series Forecasting, by Yuang Zhao et al.
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Summary of The Exploration Of Neural Collapse Under Imbalanced Data, by Haixia Liu
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Summary of Autoelicit: Using Large Language Models For Expert Prior Elicitation in Predictive Modelling, by Alexander Capstick et al.
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Summary of Privacy-preserving Federated Unsupervised Domain Adaptation For Regression on Small-scale and High-dimensional Biological Data, by Cem Ata Baykara et al.
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Summary of Interpretable Label-free Self-guided Subspace Clustering, by Ivica Kopriva
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Summary of Task Progressive Curriculum Learning For Robust Visual Question Answering, by Ahmed Akl et al.
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Summary of Grokformer: Graph Fourier Kolmogorov-arnold Transformers, by Guoguo Ai et al.
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Summary of Reward Incremental Learning in Text-to-image Generation, by Maorong Wang et al.
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Summary of On the Generalization Of Handwritten Text Recognition Models, by Carlos Garrido-munoz et al.
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Summary of Correlation-aware Graph Convolutional Networks For Multi-label Node Classification, by Yuanchen Bei et al.
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Summary of Sbi Reloaded: a Toolkit For Simulation-based Inference Workflows, by Jan Boelts et al.
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Summary of Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network Using Attention-based Reinforcement Learning, by Mahdi Salahshour et al.
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Summary of Dwcl: Dual-weighted Contrastive Learning For Multi-view Clustering, by Hanning Yuan and Zhihui Zhang and Qi Guo and Lianhua Chi and Sijie Ruan and Jinhui Pang and Xiaoshuai Hao
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Summary of Epidemiology-informed Graph Neural Network For Heterogeneity-aware Epidemic Forecasting, by Yufan Zheng et al.
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Summary of Crash: Challenging Reinforcement-learning Based Adversarial Scenarios For Safety Hardening, by Amar Kulkarni et al.
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Summary of Cmavit: Integrating Climate, Managment, and Remote Sensing Data For Crop Yield Estimation with Multimodel Vision Transformers, by Hamid Kamangir et al.
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Summary of Satvision-toa: a Geospatial Foundation Model For Coarse-resolution All-sky Remote Sensing Imagery, by Caleb S. Spradlin et al.
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Summary of Can a Single Tree Outperform An Entire Forest?, by Qiangqiang Mao et al.
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Summary of Conformalised Conditional Normalising Flows For Joint Prediction Regions in Time Series, by Eshant English et al.
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Summary of Fast, Precise Thompson Sampling For Bayesian Optimization, by David Sweet
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Summary of A Generalised Novel Loss Function For Computational Fluid Dynamics, by Zachary Cooper-baldock and Paulo E. Santos and Russell S.a. Brinkworth and Karl Sammut
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Summary of Graph Structure Learning with Bi-level Optimization, by Nan Yin
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Summary of Contrastive Graph Condensation: Advancing Data Versatility Through Self-supervised Learning, by Xinyi Gao et al.
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Summary of Spatio-temporal Conformal Prediction For Power Outage Data, by Hanyang Jiang et al.
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Summary of Contrastive Cfg: Improving Cfg in Diffusion Models by Contrasting Positive and Negative Concepts, By Jinho Chang et al.
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Summary of Efficient Llm Inference with I/o-aware Partial Kv Cache Recomputation, by Chaoyi Jiang et al.
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Summary of Learning From Noisy Labels Via Conditional Distributionally Robust Optimization, by Hui Guo et al.
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Summary of Star Attention: Efficient Llm Inference Over Long Sequences, by Shantanu Acharya et al.
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Summary of From Machine Learning to Machine Unlearning: Complying with Gdpr’s Right to Be Forgotten While Maintaining Business Value Of Predictive Models, by Yuncong Yang et al.
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Summary of Enhancing Imbalance Learning: a Novel Slack-factor Fuzzy Svm Approach, by M. Tanveer et al.
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Summary of Improving Resistance to Noisy Label Fitting by Reweighting Gradient in Sam, By Hoang-chau Luong et al.