Co-occurring keywords · papers mentioning both
Papers
Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation
AAAI 2026
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
ACL 2026
MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning
AAAI 2026
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
CVPR 2026
A Proactive Reliability Metric for Detecting Failures in Language Model Training
EMNLP 2025
Interactive Training: Feedback-Driven Neural Network Optimization
EMNLP 2025
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
AAAI 2025
PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
ICLR 2025
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
ICLR 2025
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
NeurIPS 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NeurIPS 2024
P2D: Plug and Play Discriminator for Accelerating GAN Frameworks
WACV 2024
Stable Language Model Pre-training by Reducing Embedding Variability
EMNLP 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
ECCV 2024
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS 2024
Cut your Losses with Squentropy
ICML 2023
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks
AAAI 2023
Internally Rewarded Reinforcement Learning
ICML 2023
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
ICLR 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
NeurIPS 2023
Stabilizing GANs’ Training with Brownian Motion Controller
ICML 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
Deep equilibrium networks are sensitive to initialization statistics
ICML 2022
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
NeurIPS 2022
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
ICLR 2022