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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Neural Network Optimization
3,648 papers
Papers per year
2001: 1
2003: 1
2005: 2
2006: 3
2007: 6
2008: 1
2009: 7
2010: 5
2011: 7
2012: 9
2013: 17
2014: 18
2015: 40
2016: 76
2017: 113
2018: 214
2019: 324
2020: 414
2021: 489
2022: 445
2023: 524
2024: 469
2025: 386
2026: 77
Papers
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds
JMLR 2024
On the Hyperparameters in Stochastic Gradient Descent with Momentum
JMLR 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise
JMLR 2024
Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods
JMLR 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
JMLR 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
JMLR 2024
Learning Discretized Neural Networks under Ricci Flow
JMLR 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks
JMLR 2024
Deep model-free KKL observer: A switching approach
L4DC 2024
In-context Learning and Gradient Descent Revisited
NAACL 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation
NAACL 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models
NAACL 2024
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
NAACL 2024
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation
NAACL 2024
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’
NAACL 2024
How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach
NAACL 2024
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation
NAACL 2024
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning
NAACL 2024
MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model
NAACL 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
NAACL 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification
NAACL 2024
Length-Aware Multi-Kernel Transformer for Long Document Classification
NAACL 2024
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
NSDI 2024
ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices
NSDI 2024
Evolution and learning in differentiable robots
RSS 2024
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