Neural Network Optimization
4,155 papers
Papers per year
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Papers
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
NeurIPS 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization
CVPR 2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
NeurIPS 2022
Early Stopping for Iterative Regularization with General Loss Functions
JMLR 2022
Efficient Adversarial Training with Robust Early-Bird Tickets
EMNLP 2022
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
EMNLP 2022
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
CoRL 2022
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
ICLR 2022
Efficient Training of Low-Curvature Neural Networks
NeurIPS 2022
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
ICLR 2022
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
ICLR 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
EMNLP 2022
End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based Attractors
Interspeech 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Interspeech 2022
Episodic Policy Gradient Training
AAAI 2022
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
AAAI 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
ICML 2022
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
NeurIPS 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization
CVPR 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
EMNLP 2022
Exact Solutions of a Deep Linear Network
NeurIPS 2022
Exploiting Explainable Metrics for Augmented SGD
CVPR 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
CVPR 2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
EMNLP 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework
CVPR 2022