neural network optimization

Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024 Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions NeurIPS 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Trade-Offs of Diagonal Fisher Information Matrix Estimators NeurIPS 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy NeurIPS 2024 Transformers Can Do Arithmetic with the Right Embeddings NeurIPS 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 Uncertainty Regularized Evidential Regression AAAI 2024 Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024 Understanding Transformers via N-Gram Statistics NeurIPS 2024 Unraveling the Gradient Descent Dynamics of Transformers NeurIPS 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification COLING 2024 Weight-Inherited Distillation for Task-Agnostic BERT Compression NAACL 2024 What do Graph Neural Networks learn? Insights from Tropical Geometry NeurIPS 2024 Where Do Large Learning Rates Lead Us? NeurIPS 2024