Neural Network Optimization
4,155 papers
Papers per year
1
1
2
3
6
1
7
5
7
9
17
18
40
76
113
228
343
456
501
492
567
622
559
81
'5
'10
'15
'20
'25
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