neural-networks

Documents about neural-networks

• Generalization and Scaling Laws for Mixture-of-Experts Transformers#5989arXiv CS
• Solving Physics Olympiad via Reinforcement Learning on Physics Simulators#10331arXiv CS
• Evaluating Cooperation in LLM Social Groups through Elected Leadership#10340arXiv CS
• Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration#10372arXiv CS
• CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations#13075arXiv CS
• Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling#13092arXiv CS
• Analyzing the Effect of Noise in LLM Fine-tuning#13118arXiv CS
• Rhetorical Questions in LLM Representations: A Linear Probing Study#14004arXiv CS
• PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling#14023arXiv CS
• Gradient Descent's Last Iterate is Often (slightly) Suboptimal#14039arXiv CS
• Structural interpretability in SVMs with truncated orthogonal polynomial kernels#18996arXiv CS
• Cloning is as Hard as Learning for Stabilizer States#19000arXiv CS
• Context Over Content: Exposing Evaluation Faking in Automated Judges#19004arXiv CS
• Optimal algorithmic complexity of inference in quantum kernel methods#19006arXiv CS
• MambaSL: Exploring Single-Layer Mamba for Time Series Classification#19010arXiv CS
• LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking#19015arXiv CS
• MinShap: A Modified Shapley Value Approach for Feature Selection#19019arXiv CS
• Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits#19029arXiv CS
• Combinatorial optimization with physics-inspired graph neural networks#19723Semantic Scholar
• Interpreting and Unifying Graph Neural Networks with An Optimization Framework#19725Semantic Scholar
• Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization#19728Semantic Scholar
• The Whale Optimization Algorithm Approach for Deep Neural Networks#19740Semantic Scholar
• ICOR: improving codon optimization with recurrent neural networks#19744Semantic Scholar
• diffGrad: An Optimization Method for Convolutional Neural Networks#19746Semantic Scholar
• Policy-GNN: Aggregation Optimization for Graph Neural Networks#19750Semantic Scholar
• Optimization of Graph Neural Networks with Natural Gradient Descent#19753Semantic Scholar
• Surrogate optimization of deep neural networks for groundwater predictions#19764Semantic Scholar
• Finding Global Homophily in Graph Neural Networks When Meeting Heterophily#19769Semantic Scholar
• Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks#19773Semantic Scholar
• Improving optimization of convolutional neural networks through parameter fine-tuning#19776Semantic Scholar
• Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing#19788Semantic Scholar
• EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks#19801Semantic Scholar
• Bag of Tricks for Image Classification with Convolutional Neural Networks#19804Semantic Scholar
• Opioids Overdose Death Prediction with Graph Neural Networks#29724bioRxiv / medRxiv
• Learning to Reason with Insight for Informal Theorem Proving#31254arXiv CS
• Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition#31292arXiv CS
• RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration#31294arXiv CS
• Introduction to Neural Networks#67201MIT OpenCourseWare
• A technique to stock market prediction using fuzzy clustering and artificial neural networks#77676PhilArchive
• Enhancing Malware Detection by Fusing Static and Dynamic Features Using Deep Neural Networks#118510PhilArchive
• When Can LLMs Learn to Reason with Weak Supervision?#120495arXiv CS
• Deep neural networks optimization for resource-constrained environments: techniques and models#120631Semantic Scholar
• ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control#124037arXiv CS
• Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation#124045arXiv CS
• Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems#124047arXiv CS
• AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT#124048arXiv CS
• When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs#126497arXiv CS
• Replay-buffer engineering for noise-robust quantum circuit optimization#126503arXiv CS
• An effective variant of the Hartigan $k$-means algorithm#126509arXiv CS
• Transferable Physics-Informed Representations via Closed-Form Head Adaptation#126512arXiv CS