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Papers

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Showing 14201–14250 of 474278 papers

TitleStatusHype
Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language—0
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders—0
MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility ApplicationsCode1
PEVLM: Parallel Encoding for Vision-Language Models—0
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended GenerationCode0
KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityCode1
Video Compression for Spatiotemporal Earth System DataCode2
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures—0
EvDetMAV: Generalized MAV Detection from Moving Event CamerasCode1
Diffusion-based Task-oriented Semantic Communications with Model Inversion Attack—0
Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing—0
MILAAP: Mobile Link Allocation via Attention-based Prediction—0
MAIZX: A Carbon-Aware Framework for Optimizing Cloud Computing Emissions—0
A Principled Path to Fitted Distributional Evaluation—0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG—0
Sampling Matters in Explanations: Towards Trustworthy Attribution Analysis Building Block in Visual Models through Maximizing Explanation Certainty—0
Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability—0
HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in Mobile Health Apps—0
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation—0
Machine Learning with Privacy for Protected Attributes—0
Private Model Personalization Revisited—0
SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing ImagesCode1
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
Self-Supervised Multimodal NeRF for Autonomous DrivingCode1
PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket ConditioningCode2
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender SystemsCode0
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson RegressionCode1
One Prototype Is Enough: Single-Prototype Activation for Interpretable Image ClassificationCode0
Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks—0
WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT—0
Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty—0
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy—0
From Reproduction to Replication: Evaluating Research Agents with Progressive Code MaskingCode0
Assessing Risk of Stealing Proprietary Models for Medical Imaging TasksCode0
Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization—0
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node LearningCode1
ToSA: Token Merging with Spatial AwarenessCode0
An ab initio foundation model of wavefunctions that accurately describes chemical bond breakingCode2
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies—0
Elucidated Rolling Diffusion Models for Probabilistic Weather ForecastingCode1
Context Attribution with Multi-Armed Bandit Optimization—0
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction—0
Persona-Assigned Large Language Models Exhibit Human-Like Motivated ReasoningCode0
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models—0
The Most Important Features in Generalized Additive Models Might Be Groups of Features—0
Robotics Under Construction: Challenges on Job Sites—0
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track—0
MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection—0
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