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Neural Network Optimization

4,155 papers

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Papers

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026 UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization AAAI 2026 Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective AAAI 2026 Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models AAAI 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position AAAI 2026 A Bregman Proximal Viewpoint on Neural Operators ICML 2025 Accelerated training through iterative gradient propagation along the residual path ICLR 2025 Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025 Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review CoNLL 2025 Accelerating neural network training: An analysis of the AlgoPerf competition ICLR 2025 Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information IJCAI 2025 Achieving binary weight and activation for LLMs using Post-Training Quantization ACL 2025 A Coefficient Makes SVRG Effective ICLR 2025 AdaFisher: Adaptive Second Order Optimization via Fisher Information ICLR 2025 AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 AdaGrad under Anisotropic Smoothness ICLR 2025 Adam Exploits ℓ_∞-geometry of Loss Landscape via Coordinate-wise Adaptivity ICLR 2025 Adam-mini: Use Fewer Learning Rates To Gain More ICLR 2025 ADAM Optimization with Adaptive Batch Selection ICLR 2025 AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025 Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics IJCAI 2025 Adaptive kernel predictors from feature-learning infinite limits of neural networks ICML 2025 Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise ICLR 2025 AdaptThink: Reasoning Models Can Learn When to Think EMNLP 2025