conftrace_

parameter optimization

68 papers

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Co-occurring keywords · papers mentioning both

model compression (9) neural network (8) convolutional neural network (4) image classification (4) diffusion model (3) parameter efficiency (3) large language model (3) knowledge distillation (3) policy optimization (3) reinforcement learning (3)

Papers

Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026 Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models WACV 2026 Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 Mortise: Auto-tuning Congestion Control to Optimize QoE via Network-Aware Parameter Optimization NSDI 2026 Shaping Parameter Contribution Patterns for Out-of-Distribution Detection AAAI 2026 Evaluation of a model for sound radiation from the vocal tract wall Interspeech 2025 I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025 MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices ICCV 2025 Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025 PLAN: Proactive Low-Rank Allocation for Continual Learning ICCV 2025 SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning IJCAI 2025 Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025 β-DPO: Direct Preference Optimization with Dynamic β NeurIPS 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NeurIPS 2024 Belief-State Query Policies for User-Aligned POMDPs NeurIPS 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Creative Text-to-Audio Generation via Synthesizer Programming ICML 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation NeurIPS 2024 MiSO: Optimizing brain stimulation to create neural population activity states NeurIPS 2024 Model Based Inference of Synaptic Plasticity Rules NeurIPS 2024 OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models ICLR 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024