Co-occurring keywords · papers mentioning both
Papers
How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach
NAACL 2024
HydraViT: Stacking Heads for a Scalable ViT
NeurIPS 2024
Identifying Equivalent Training Dynamics
NeurIPS 2024
If You Want to Be Robust, Be Wary of Initialization
NeurIPS 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NeurIPS 2024
Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths
WACV 2024
Improving Convergence and Generalization Using Parameter Symmetries
ICLR 2024
Improving Equivariant Model Training via Constraint Relaxation
NeurIPS 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization
NeurIPS 2024
Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
NeurIPS 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
CVPR 2024
In-context Learning and Gradient Descent Revisited
NAACL 2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
ICLR 2024
Infinite Limits of Multi-head Transformer Dynamics
NeurIPS 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
NeurIPS 2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
EMNLP 2024
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
AAAI 2024
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
ICLR 2024
Investigation into Training Dynamics of Learned Optimizers (Student Abstract)
AAAI 2024
Jointly-Learned Exit and Inference for a Dynamic Neural Network
ICLR 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning
CVPR 2024
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations
COLING 2024
Latent Modulated Function for Computational Optimal Continuous Image Representation
CVPR 2024
Layer Collaboration in the Forward-Forward Algorithm
AAAI 2024
Layer Compression of Deep Networks with Straight Flows
AAAI 2024