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Showing 151–180 of 422
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Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
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OCCAMS: A Multi-Task Learning-Based Investigation of the CMB Power Spectra
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Bridging Neural Representations and Symbolic Semantics in Audio Classification
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Retrieving from Your Own Mistakes: On-Policy Training of Embedding Models for Multi-Hop Retrieval-Augmented Generation
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SCARL: Sequence Confidence-Aligned Reinforcement Learning
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Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors
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Deep Learning Based Behavioral Drift Modeling for Continuous Biometric Authentication
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Beyond Selected Breakthroughs: Evaluating Language Models on Randomly Sampled Mathematical Conjectures
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Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records
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The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables
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Is It the Curriculum or Just the Easy Start? Benchmarking Unsupervised Environment Design on Quadrupeds
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Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training
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A Unified Hessian-Guided Framework for Post-Training Quantization
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Multistep and Multivariate Time Series Explainability with GradientSHAP: A Wind Power Case Study
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Factorized Representations of Concurrent Temporal Variables in Pretrained Language Models
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Radiology Guideline-derived Decision Graph for Efficient Clinical Decision Support
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Decision and System One models in rheumatology: accuracy and calibration on specialty-training examination questions and diagnostic case vignettes
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Causal-prior-constrained deep learning for rapid-intensification warning of western North Pacific tropical cyclones
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TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents
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From MS/MS evidence to adaptive spectroscopic characterization: Reinforcement learning guided by candidate molecular structures
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Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
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Statistical Analysis of Synthetic Data with Verification: A Linear Regression Framework
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Mobilizing the Archive: Bitext Extraction at Scale from Archival Documents for Extremely Low-resource Languages
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EpiAgent: Epistemic Self-Play for LLM Agents
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Unlocking Tensor Core Performance for Machine Learning Interatomic PotentialsNVIDIA on unlocking Tensor Core speed for ML interatomic potentialsAtomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. NVIDIA's developer blog looks at getting more Tensor Core performance from ML interatomic potentials.
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Towards Full-Text Scholarly Argument Mining using Entity-Anchored Claim Extraction
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One Vector or Many? Clustered Optimal-Transport Steering under Quantization
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Can LLMs Ignore What They Know? Measuring Knowledge Leakage in Persona-Based User Simulation
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Prompts and probabilities in the linguistic assessment of language models: Evidence from semantic focus-sensitivity
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Surprise Alone Learns Lies: Evidence-Gated Continual Learning for LLMs from Streaming Claims