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Neural Network Optimization

3648 directly classified papers

Papers per year

Papers

Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026

DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026

Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models AAAI 2026

Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026

GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026

Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving AAAI 2026

Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026

Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models AAAI 2026

GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection AAAI 2026

Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models AAAI 2026

Boosting Adversarial Transferability via Ensemble Non-Attention AAAI 2026

Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026

A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026

Transformer with Controlled Attention for Synchronous Motion Captioning AAAI 2026

FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer AAAI 2026

Neural Video Compression with Reference Hierarchy AAAI 2026

Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026

Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026

Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning AAAI 2026

Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression AAAI 2026

I-INR: Iterative Implicit Neural Representations AAAI 2026

TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization AAAI 2026

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position AAAI 2026