conftrace_

parameter optimization

61 papers

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Co-occurring keywords

model compression (3302) neural network (6616) convolutional neural network (4226) image classification (1944) diffusion model (3751) parameter efficiency (417) knowledge distillation (3725) policy optimization (657) bayesian optimization (624) learning dynamics (75)

Papers

Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models WACV 2026
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection AAAI 2026
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025
MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices ICCV 2025
I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025
SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning IJCAI 2025
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning ICCV 2025
Model Based Inference of Synaptic Plasticity Rules NIPS 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation NIPS 2024
Parameter Competition Balancing for Model Merging NIPS 2024
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ NIPS 2024
Quantum Deep Equilibrium Models NIPS 2024
MiSO: Optimizing brain stimulation to create neural population activity states NIPS 2024
Belief-State Query Policies for User-Aligned POMDPs NIPS 2024
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NIPS 2024
Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024
DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NIPS 2024
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning WACV 2024
Optimization or Architecture: How to Hack Kalman Filtering NIPS 2023