Paper List

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Summary of Class Incremental Learning with Probability Dampening and Cascaded Gated Classifier, by Jary Pomponi et al.
Summary of Teddy: Trimming Edges with Degree-based Discrimination Strategy, by Hyunjin Seo et al.
Summary of Spiking Centernet: a Distillation-boosted Spiking Neural Network For Object Detection, by Lennard Bodden et al.
Summary of Towards An Algebraic Framework For Approximating Functions Using Neural Network Polynomials, by Shakil Rafi et al.
Summary of Fedshift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment Via Weight Shifting, by Jungwon Seo et al.
Summary of Chameleon: Foundation Models For Fairness-aware Multi-modal Data Augmentation to Enhance Coverage Of Minorities, by Mahdi Erfanian and H. V. Jagadish and Abolfazl Asudeh
Summary of Dosegnn: Improving the Performance Of Deep Learning Models in Adaptive Dose-volume Histogram Prediction Through Graph Neural Networks, by Zehao Dong et al.
Summary of Recent Advances in Predictive Modeling with Electronic Health Records, by Jiaqi Wang et al.
Summary of No Free Prune: Information-theoretic Barriers to Pruning at Initialization, by Tanishq Kumar et al.
Summary of Need a Small Specialized Language Model? Plan Early!, by David Grangier et al.
Summary of A Dynamical Model Of Neural Scaling Laws, by Blake Bordelon et al.
Summary of How Many Views Does Your Deep Neural Network Use For Prediction?, by Keisuke Kawano and Takuro Kutsuna and Keisuke Sano
Summary of Trustworthy Distributed Ai Systems: Robustness, Privacy, and Governance, by Wenqi Wei and Ling Liu
Summary of Bayesian Deep Learning For Remaining Useful Life Estimation Via Stein Variational Gradient Descent, by Luca Della Libera et al.
Summary of A Survey For Foundation Models in Autonomous Driving, by Haoxiang Gao and Zhongruo Wang and Yaqian Li and Kaiwen Long and Ming Yang and Yiqing Shen
Summary of Compositional Generative Modeling: a Single Model Is Not All You Need, by Yilun Du et al.
Summary of Reasoning Capacity in Multi-agent Systems: Limitations, Challenges and Human-centered Solutions, by Pouya Pezeshkpour et al.
Summary of Simulation Of Graph Algorithms with Looped Transformers, by Artur Back De Luca and Kimon Fountoulakis
Summary of Vaccine: Perturbation-aware Alignment For Large Language Models Against Harmful Fine-tuning Attack, by Tiansheng Huang et al.
Summary of Near-optimal Reinforcement Learning with Self-play Under Adaptivity Constraints, by Dan Qiao et al.
Summary of Double-dip: Thwarting Label-only Membership Inference Attacks with Transfer Learning and Randomization, by Arezoo Rajabi et al.
Summary of Online Conformal Prediction with Decaying Step Sizes, by Anastasios N. Angelopoulos and Rina Foygel Barber and Stephen Bates
Summary of Root Cause Analysis in Microservice Using Neural Granger Causal Discovery, by Cheng-ming Lin et al.
Summary of Mode: a Mixture-of-experts Model with Mutual Distillation Among the Experts, by Zhitian Xie et al.
Summary of Alpharank: An Artificial Intelligence Approach For Ranking and Selection Problems, by Ruihan Zhou et al.
Summary of Graph Domain Adaptation: Challenges, Progress and Prospects, by Boshen Shi et al.
Summary of Weakly Supervised Learners For Correction Of Ai Errors with Provable Performance Guarantees, by Ivan Y. Tyukin et al.
Summary of Addressing Bias Through Ensemble Learning and Regularized Fine-tuning, by Ahmed Radwan et al.
Summary of Can We Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?, by Jack Furby et al.
Summary of Fairehr-clp: Towards Fairness-aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records, by Yuqing Wang et al.
Summary of Credal Learning Theory, by Michele Caprio et al.
Summary of Multi-modal Machine Learning Framework For Automated Seizure Detection in Laboratory Rats, by Aaron Mullen et al.
Summary of Closure Discovery For Coarse-grained Partial Differential Equations Using Grid-based Reinforcement Learning, by Jan-philipp Von Bassewitz et al.
Summary of Self-supervised Contrastive Pre-training For Multivariate Point Processes, by Xiao Shou et al.
Summary of Investigating Recurrent Transformers with Dynamic Halt, by Jishnu Ray Chowdhury et al.
Summary of A Cost-efficient Approach For Creating Virtual Fitting Room Using Generative Adversarial Networks (gans), by Kirolos Attallah et al.
Summary of Multivariate Probabilistic Time Series Forecasting with Correlated Errors, by Vincent Zhihao Zheng et al.
Summary of Repeat After Me: Transformers Are Better Than State Space Models at Copying, by Samy Jelassi et al.
Summary of Latticegraphnet: a Two-scale Graph Neural Operator For Simulating Lattice Structures, by Ayush Jain et al.
Summary of Ultra Fast Transformers on Fpgas For Particle Physics Experiments, by Zhixing Jiang et al.
Summary of Distributed Mcmc Inference For Bayesian Non-parametric Latent Block Model, by Reda Khoufache et al.
Summary of Multiclass Learning From Noisy Labels For Non-decomposable Performance Measures, by Mingyuan Zhang et al.
Summary of Expert Proximity As Surrogate Rewards For Single Demonstration Imitation Learning, by Chia-cheng Chiang et al.
Summary of Control-theoretic Techniques For Online Adaptation Of Deep Neural Networks in Dynamical Systems, by Jacob G. Elkins and Farbod Fahimi
Summary of Animatelcm: Computation-efficient Personalized Style Video Generation Without Personalized Video Data, by Fu-yun Wang et al.
Summary of Dense Reward For Free in Reinforcement Learning From Human Feedback, by Alex J. Chan et al.
Summary of Graph-mamba: Towards Long-range Graph Sequence Modeling with Selective State Spaces, by Chloe Wang et al.
Summary of Croissantllm: a Truly Bilingual French-english Language Model, by Manuel Faysse et al.
Summary of Human Expertise in Algorithmic Prediction, by Rohan Alur et al.
Summary of Llms Learn Governing Principles Of Dynamical Systems, Revealing An In-context Neural Scaling Law, by Toni J.b. Liu et al.
Summary of Formal-llm: Integrating Formal Language and Natural Language For Controllable Llm-based Agents, by Zelong Li et al.
Summary of Reagent: a Model-agnostic Feature Attribution Method For Generative Language Models, by Zhixue Zhao et al.
Summary of Signal Quality Auditing For Time-series Data, by Chufan Gao et al.
Summary of Augmenting Offline Reinforcement Learning with State-only Interactions, by Shangzhe Li and Xinhua Zhang
Summary of Position: Bayesian Deep Learning Is Needed in the Age Of Large-scale Ai, by Theodore Papamarkou et al.
Summary of Slim: Skill Learning with Multiple Critics, by David Emukpere et al.
Summary of Leveraging Approximate Model-based Shielding For Probabilistic Safety Guarantees in Continuous Environments, by Alexander W. Goodall et al.
Summary of Alison: Fast and Effective Stylometric Authorship Obfuscation, by Eric Xing et al.
Summary of Data Augmentation Scheme For Raman Spectra with Highly Correlated Annotations, by Christoph Lange et al.
Summary of Ltau-ff: Loss Trajectory Analysis For Uncertainty in Atomistic Force Fields, by Joshua A. Vita et al.
Summary of Symbolicai: a Framework For Logic-based Approaches Combining Generative Models and Solvers, by Marius-constantin Dinu and Claudiu Leoveanu-condrei and Markus Holzleitner and Werner Zellinger and Sepp Hochreiter
Summary of Early Time Classification with Accumulated Accuracy Gap Control, by Liran Ringel et al.
Summary of Towards Optimal Feature-shaping Methods For Out-of-distribution Detection, by Qinyu Zhao et al.
Summary of Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay, by Mohammad Rostami
Summary of Partial-label Learning with a Reject Option, by Tobias Fuchs et al.
Summary of Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-separated Clusters, by Georgios Vardakas et al.
Summary of Are Synthetic Time-series Data Really Not As Good As Real Data?, by Fanzhe Fu et al.
Summary of Bayesian Causal Inference with Gaussian Process Networks, by Enrico Giudice et al.
Summary of Random Forest-based Prediction Of Stroke Outcome, by Carlos Fernandez-lozano et al.
Summary of Vision-llms Can Fool Themselves with Self-generated Typographic Attacks, by Maan Qraitem et al.
Summary of Spectrally Transformed Kernel Regression, by Runtian Zhai et al.
Summary of Modeling Freight Mode Choice Using Machine Learning Classifiers: a Comparative Study Using the Commodity Flow Survey (cfs) Data, by Majbah Uddin et al.
Summary of Improving the Accuracy Of Freight Mode Choice Models: a Case Study Using the 2017 Cfs Puf Data Set and Ensemble Learning Techniques, by Diyi Liu et al.
Summary of Approximating Optimal Morphing Attacks Using Template Inversion, by Laurent Colbois et al.
Summary of Combining the Strengths Of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (prefer), by Elizaveta Sivak et al.
Summary of Non-exchangeable Conformal Language Generation with Nearest Neighbors, by Dennis Ulmer et al.
Summary of Explaining Text Classifiers with Counterfactual Representations, by Pirmin Lemberger et al.
Summary of Automatic Segmentation Of the Spinal Cord Nerve Rootlets, by Jan Valosek et al.
Summary of Dropout-based Rashomon Set Exploration For Efficient Predictive Multiplicity Estimation, by Hsiang Hsu et al.
Summary of Mobilitydl: a Review Of Deep Learning From Trajectory Data, by Anita Graser et al.
Summary of Unlearnable Algorithms For In-context Learning, by Andrei Muresanu et al.
Summary of Theoretical Understanding Of In-context Learning in Shallow Transformers with Unstructured Data, by Yue Xing et al.
Summary of Building Expressive and Tractable Probabilistic Generative Models: a Review, by Sahil Sidheekh et al.
Summary of Survey Of Privacy Threats and Countermeasures in Federated Learning, by Masahiro Hayashitani et al.
Summary of Diverse Explanations From Data-driven and Domain-driven Perspectives in the Physical Sciences, by Sichao Li and Xin Wang and Amanda Barnard
Summary of Machine Unlearning For Image-to-image Generative Models, by Guihong Li et al.
Summary of Adaptive Primal-dual Method For Safe Reinforcement Learning, by Weiqin Chen et al.
Summary of Odice: Revealing the Mystery Of Distribution Correction Estimation Via Orthogonal-gradient Update, by Liyuan Mao et al.
Summary of Cumulative Distribution Function Based General Temporal Point Processes, by Maolin Wang et al.
Summary of Efficient Exploration For Llms, by Vikranth Dwaracherla et al.
Summary of Multi-scale Traffic Pattern Bank For Cross-city Few-shot Traffic Forecasting, by Zhanyu Liu et al.
Summary of Benchmarking Transferable Adversarial Attacks, by Zhibo Jin et al.
Summary of From Paris to Le-paris: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models, by Jung-mei Chu et al.
Summary of A Survey Of Data-efficient Graph Learning, by Wei Ju et al.
Summary of Merging Multi-task Models Via Weight-ensembling Mixture Of Experts, by Anke Tang et al.
Summary of Cpt: Competence-progressive Training Strategy For Few-shot Node Classification, by Qilong Yan et al.
Summary of Equivalence Of the Empirical Risk Minimization to Regularization on the Family Of F-divergences, by Francisco Daunas et al.
Summary of Understanding the Expressive Power and Mechanisms Of Transformer For Sequence Modeling, by Mingze Wang et al.
Summary of Preconditioning For Physics-informed Neural Networks, by Songming Liu et al.
Summary of A Manifold Representation Of the Key in Vision Transformers, by Li Meng et al.