Paper List

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Summary of Spatial-temporal Graph Representation Learning For Tactical Networks Future State Prediction, by Junhua Liu et al.
Summary of Daved: Data Acquisition Via Experimental Design For Data Markets, by Charles Lu et al.
Summary of Sequential Modeling Of Complex Marine Navigation: Case Study on a Passenger Vessel (student Abstract), by Yimeng Fan et al.
Summary of Interpreting Neurons in Deep Vision Networks with Language Models, by Nicholas Bai et al.
Summary of Sparse Implementation Of Versatile Graph-informed Layers, by Francesco Della Santa
Summary of Towards An Extension Of Fault Trees in the Predictive Maintenance Scenario, by Roberta De Fazio et al.
Summary of Evaluating Frontier Models For Dangerous Capabilities, by Mary Phuong et al.
Summary of Rewardbench: Evaluating Reward Models For Language Modeling, by Nathan Lambert et al.
Summary of Bridge the Modality and Capability Gaps in Vision-language Model Selection, by Chao Yi et al.
Summary of Hierarchical Neurosymbolic Approach For Comprehensive and Explainable Action Quality Assessment, by Lauren Okamoto et al.
Summary of Zigma: a Dit-style Zigzag Mamba Diffusion Model, by Vincent Tao Hu et al.
Summary of Learning From Synthetic Data For Visual Grounding, by Ruozhen He et al.
Summary of Editing Massive Concepts in Text-to-image Diffusion Models, by Tianwei Xiong et al.
Summary of Rar: Retrieving and Ranking Augmented Mllms For Visual Recognition, by Ziyu Liu et al.
Summary of A Machine Learning Approach to Predict University Enrolment Choices Through Students’ High School Background in Italy, by Andrea Priulla et al.
Summary of On Pretraining Data Diversity For Self-supervised Learning, by Hasan Abed Al Kader Hammoud et al.
Summary of Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role, by Kazuhiro Yamada et al.
Summary of Identity Information Based on Human Magnetocardiography Signals, by Pengju Zhang et al.
Summary of Smart: Automatically Scaling Down Language Models with Accuracy Guarantees For Reduced Processing Fees, by Saehan Jo and Immanuel Trummer
Summary of Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects, by Pengfei Ding and Yan Wang and Guanfeng Liu
Summary of Measuring Diversity in Co-creative Image Generation, by Francisco Ibarrola and Kazjon Grace
Summary of Tree-based Learning For High-fidelity Prediction Of Chaos, by Adam Giammarese et al.
Summary of Circuit Transformer: a Transformer That Preserves Logical Equivalence, by Xihan Li et al.
Summary of Adversarial Attacks and Defenses in Fault Detection and Diagnosis: a Comprehensive Benchmark on the Tennessee Eastman Process, by Vitaliy Pozdnyakov et al.
Summary of Vstar: Generative Temporal Nursing For Longer Dynamic Video Synthesis, by Yumeng Li and William Beluch and Margret Keuper and Dan Zhang and Anna Khoreva
Summary of Real: Representation Enhanced Analytic Learning For Exemplar-free Class-incremental Learning, by Run He et al.
Summary of Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning, by Fabio De Gaspari et al.
Summary of Next Day Fire Prediction Via Semantic Segmentation, by Konstantinos Alexis et al.
Summary of Enhancing Traffic Incident Management with Large Language Models: a Hybrid Machine Learning Approach For Severity Classification, by Artur Grigorev et al.
Summary of Ground-a-score: Scaling Up the Score Distillation For Multi-attribute Editing, by Hangeol Chang et al.
Summary of Adatrans: Feature-wise and Sample-wise Adaptive Transfer Learning For High-dimensional Regression, by Zelin He et al.
Summary of Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?, by Ileana Montoya Perez et al.
Summary of Dynamic Reward Adjustment in Multi-reward Reinforcement Learning For Counselor Reflection Generation, by Do June Min et al.
Summary of Multimodal Variational Autoencoder For Low-cost Cardiac Hemodynamics Instability Detection, by Mohammod N. I. Suvon et al.
Summary of Enhancing Law Enforcement Training: a Gamified Approach to Detecting Terrorism Financing, by Francesco Zola et al.
Summary of Machine Learning Optimized Approach For Parameter Selection in Meshfree Simulations, by Paulami Banerjee et al.
Summary of Paramanu-ayn: Pretrain From Scratch or Continual Pretraining Of Llms For Legal Domain Adaptation?, by Mitodru Niyogi et al.
Summary of M-hof-opt: Multi-objective Hierarchical Output Feedback Optimization Via Multiplier Induced Loss Landscape Scheduling, by Xudong Sun et al.
Summary of Uncertainty-aware Explanations Through Probabilistic Self-explainable Neural Networks, by Jon Vadillo et al.
Summary of Variational Inference For Uncertainty Quantification: An Analysis Of Trade-offs, by Charles C. Margossian et al.
Summary of Towards Principled Representation Learning From Videos For Reinforcement Learning, by Dipendra Misra et al.
Summary of Weisfeiler and Leman Go Loopy: a New Hierarchy For Graph Representational Learning, by Raffaele Paolino et al.
Summary of The Model Openness Framework: Promoting Completeness and Openness For Reproducibility, Transparency, and Usability in Artificial Intelligence, by Matt White et al.
Summary of From Representational Harms to Quality-of-service Harms: a Case Study on Llama 2 Safety Safeguards, by Khaoula Chehbouni et al.
Summary of Divide-conquer Transformer Learning For Predicting Electric Vehicle Charging Events Using Smart Meter Data, by Fucai Ke et al.
Summary of Diffusion Model For Data-driven Black-box Optimization, by Zihao Li et al.
Summary of Tackling Noisy Labels with Network Parameter Additive Decomposition, by Jingyi Wang et al.
Summary of Fednmut — Federated Noisy Model Update Tracking Convergence Analysis, by Vishnu Pandi Chellapandi et al.
Summary of A Unified and General Framework For Continual Learning, by Zhenyi Wang et al.
Summary of Arcee’s Mergekit: a Toolkit For Merging Large Language Models, by Charles Goddard et al.
Summary of Unifews: Unified Entry-wise Sparsification For Efficient Graph Neural Network, by Ningyi Liao and Zihao Yu and Siqiang Luo
Summary of Aflora: Adaptive Freezing Of Low Rank Adaptation in Parameter Efficient Fine-tuning Of Large Models, by Zeyu Liu et al.
Summary of A Sampling-based Framework For Hypothesis Testing on Large Attributed Graphs, by Yun Wang et al.
Summary of Building Optimal Neural Architectures Using Interpretable Knowledge, by Keith G. Mills et al.
Summary of Rotary Position Embedding For Vision Transformer, by Byeongho Heo et al.
Summary of Kernel Multigrid: Accelerate Back-fitting Via Sparse Gaussian Process Regression, by Lu Zou and Liang Ding
Summary of Hyperfusion: a Hypernetwork Approach to Multimodal Integration Of Tabular and Medical Imaging Data For Predictive Modeling, by Daniel Duenias et al.
Summary of Adaptive Ensembles Of Fine-tuned Transformers For Llm-generated Text Detection, by Zhixin Lai et al.
Summary of Hierarchical Gaussian Mixture Normalizing Flow Modeling For Unified Anomaly Detection, by Xincheng Yao and Ruoqi Li and Zefeng Qian and Lu Wang and Chongyang Zhang
Summary of Clinical Information Extraction For Low-resource Languages with Few-shot Learning Using Pre-trained Language Models and Prompting, by Phillip Richter-pechanski et al.
Summary of Counting Network For Learning From Majority Label, by Kaito Shiku et al.
Summary of Byzantine-resilient Federated Learning with Adaptivity to Data Heterogeneity, by Shiyuan Zuo et al.
Summary of Robustness Verifcation in Neural Networks, by Adrian Wurm
Summary of Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure Of Data, by Divyansh Singhvi et al.
Summary of Towards Unsupervised Question Answering System with Multi-level Summarization For Legal Text, by M Manvith Prabhu et al.
Summary of Resilience in Online Federated Learning: Mitigating Model-poisoning Attacks Via Partial Sharing, by Ehsan Lari et al.
Summary of Optimal Flow Matching: Learning Straight Trajectories in Just One Step, by Nikita Kornilov et al.
Summary of Deep Learning with Noisy Labels in Medical Prediction Problems: a Scoping Review, by Yishu Wei et al.
Summary of Adafish: Fast Low-rank Parameter-efficient Fine-tuning by Using Second-order Information, By Jiang Hu et al.
Summary of Probabilistic Circuits with Constraints Via Convex Optimization, by Soroush Ghandi et al.
Summary of A Parallel Workflow For Polar Sea-ice Classification Using Auto-labeling Of Sentinel-2 Imagery, by Jurdana Masuma Iqrah et al.
Summary of Self-generated Replay Memories For Continual Neural Machine Translation, by Michele Resta and Davide Bacciu
Summary of Robust Nas Under Adversarial Training: Benchmark, Theory, and Beyond, by Yongtao Wu et al.
Summary of Function Trees: Transparent Machine Learning, by Jerome H. Friedman
Summary of Multi-fidelity Surrogate with Heterogeneous Input Spaces For Modeling Melt Pools in Laser-directed Energy Deposition, by Nandana Menon and Amrita Basak
Summary of On Training Survival Models with Scoring Rules, by Philipp Kopper et al.
Summary of Castor: Competing Shapelets For Fast and Accurate Time Series Classification, by Isak Samsten and Zed Lee
Summary of Vl-icl Bench: the Devil in the Details Of Multimodal In-context Learning, by Yongshuo Zong et al.
Summary of Fast Value Tracking For Deep Reinforcement Learning, by Frank Shih et al.
Summary of Predictive, Scalable and Interpretable Knowledge Tracing on Structured Domains, by Hanqi Zhou et al.
Summary of Adapt to Robustify Prompt Tuning Vision Transformers, by Masih Eskandar et al.
Summary of Diversity-aware Agnostic Ensemble Of Sharpness Minimizers, by Anh Bui et al.
Summary of Nellie: Automated Organelle Segmentation, Tracking, and Hierarchical Feature Extraction in 2d/3d Live-cell Microscopy, by Austin E. Y. T. Lefebvre (1) et al.
Summary of On Safety in Safe Bayesian Optimization, by Christian Fiedler et al.
Summary of Non-stationary Dueling Bandits Under a Weighted Borda Criterion, by Joe Suk and Arpit Agarwal
Summary of Just Shift It: Test-time Prototype Shifting For Zero-shot Generalization with Vision-language Models, by Elaine Sui et al.
Summary of Whac: World-grounded Humans and Cameras, by Wanqi Yin et al.
Summary of Llmlingua-2: Data Distillation For Efficient and Faithful Task-agnostic Prompt Compression, by Zhuoshi Pan et al.
Summary of Entangling Machine Learning with Quantum Tensor Networks, by Constantijn Van Der Poel et al.
Summary of Training Morphological Neural Networks with Gradient Descent: Some Theoretical Insights, by Samy Blusseau (cmm)
Summary of Textile: a Differentiable Metric For Texture Tileability, by Carlos Rodriguez-pardo et al.
Summary of Sportsngen: Sustained Generation Of Realistic Multi-player Sports Gameplay, by Lachlan Thorpe et al.
Summary of Osscar: One-shot Structured Pruning in Vision and Language Models with Combinatorial Optimization, by Xiang Meng et al.
Summary of Bacon: Boosting Imbalanced Semi-supervised Learning Via Balanced Feature-level Contrastive Learning, by Qianhan Feng et al.
Summary of Simple Full-spectrum Correlated K-distribution Model Based on Multilayer Perceptron, by Xin Wang et al.
Summary of Tel2veh: Fusion Of Telecom Data and Vehicle Flow to Predict Camera-free Traffic Via a Spatio-temporal Framework, by Chungyi Lin et al.
Summary of Duwak: Dual Watermarks in Large Language Models, by Chaoyi Zhu et al.
Summary of Towards Better Statistical Understanding Of Watermarking Llms, by Zhongze Cai et al.
Summary of Hybrid Unsupervised Learning Strategy For Monitoring Industrial Batch Processes, by Christian W. Frey
Summary of Adaptsfl: Adaptive Split Federated Learning in Resource-constrained Edge Networks, by Zheng Lin et al.