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deep-neural-networks
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deep-neural-networks
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· documents ABOUT deep-neural-networks across the archive
19
Documents about deep-neural-networks
Documents about deep-neural-networks
When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs
#126497
arXiv CS
Replay-buffer engineering for noise-robust quantum circuit optimization
#126503
arXiv CS
An effective variant of the Hartigan $k$-means algorithm
#126509
arXiv CS
Transferable Physics-Informed Representations via Closed-Form Head Adaptation
#126512
arXiv CS
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
#126515
arXiv CS
Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
#126519
arXiv CS
Dynamical Priors as a Training Objective in Reinforcement Learning
#126540
arXiv CS
Optimizing Biophysical Large-Scale Brain Circuit Models With Deep Neural Networks
#131009
bioRxiv / medRxiv
SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
#134548
arXiv CS
Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples
#134558
arXiv CS
Statistical retrieval of atmospheric profiles with deep convolutional neural networks
#137349
HAL (France)
The Optimal Sample Complexity of Multiclass and List Learning
#138907
arXiv CS
Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes
#138908
arXiv CS
Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
#138914
arXiv CS
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
#138916
arXiv CS
The Last Human-Written Paper: Agent-Native Research Artifacts
#138920
arXiv CS
Computational Design and Experimental Validation of Photoactive PARP1 Inhibitors
#138922
arXiv CS
Meta-CoT: Enhancing Granularity and Generalization in Image Editing
#138923
arXiv CS
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
#138935
arXiv CS
An Automatic Ground Collision Avoidance System with Reinforcement Learning
#138945
arXiv CS
Toward a Functional Geometric Algebra for Natural Language Semantics
#141469
arXiv CS
G-Loss: Graph-Guided Fine-Tuning of Language Models
#141475
arXiv CS
Improving Diversity in Black-box Few-shot Knowledge Distillation
#141478
arXiv CS
Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics
#141496
arXiv CS
Subspace Optimization for Efficient Federated Learning under Heterogeneous Data
#141497
arXiv CS
Exploration Hacking: Can LLMs Learn to Resist RL Training?
#146907
arXiv CS
Synthetic Computers at Scale for Long-Horizon Productivity Simulation
#146908
arXiv CS
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
#146910
arXiv CS
Strait: Perceiving Priority and Interference in ML Inference Serving
#146911
arXiv CS
Sequential Inference for Gaussian Processes: A Signal Processing Perspective
#146914
arXiv CS
A Unified Framework of Hyperbolic Graph Representation Learning Methods
#146926
arXiv CS
Faster 3D Gaussian Splatting Convergence via Structure-Aware Densification
#146935
arXiv CS
Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
#146937
arXiv CS
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
#146938
arXiv CS
Diffusion-OAMP for Joint Image Compression and Wireless Transmission
#146943
arXiv CS
In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks
#146950
arXiv CS
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
#151714
arXiv CS
RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
#151716
arXiv CS
EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure
#151728
arXiv CS
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
#151759
arXiv CS
Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training
#155273
arXiv CS
Steer Like the LLM: Activation Steering that Mimics Prompting
#155284
arXiv CS
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
#155302
arXiv CS
Vanishing L2 regularization for the softmax Multi Armed Bandit
#155303
arXiv CS
Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics
#155308
arXiv CS
Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval
#168303
arXiv CS
Online Bayesian Calibration under Gradual and Abrupt System Changes
#168314
arXiv CS
SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders
#168316
arXiv CS
DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
#168318
arXiv CS
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
#168336
arXiv CS
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