Neural Network Optimization
1,004 papers
Papers per year
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20
33
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132
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Papers
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
CVPR 2025
Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
ICLR 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
Rethinking Neural-based Matrix Inversion: Why can’t, and Where can
AISTATS 2025
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
ACL 2025
Run LoRA Run: Faster and Lighter LoRA Implementations
ACL 2025
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding
COLING 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
CVPR 2025
Segment-Based Attention Masking for GPTs
ACL 2025
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
AAAI 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
EMNLP 2025
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
ICLR 2025
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
ICLR 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space?
EMNLP 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
JMLR 2025
Star with Bilinear Mapping
CVPR 2025
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs’ Reasoning
EMNLP 2025
Stochastic Rounding for LLM Training: Theory and Practice
AISTATS 2025
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
ICLR 2025
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data
AAAI 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
Taming Transformer Without Using Learning Rate Warmup
ICLR 2025
The AdEMAMix Optimizer: Better, Faster, Older
ICLR 2025