Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
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'25
Papers (including subtopics)
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
ICML 2024
Offline and Online Optical Flow Enhancement for Deep Video Compression
AAAI 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
CVPR 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
CVPR 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
NeurIPS 2024
On Convergence of Incremental Gradient for Non-convex Smooth Functions
ICML 2024
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
EMNLP 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NeurIPS 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
AAAI 2024
On Feature Learning in Structured State Space Models
NeurIPS 2024
On Leakage of Code Generation Evaluation Datasets
EMNLP 2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
AAAI 2024
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
NeurIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
NeurIPS 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NeurIPS 2024
On the Asymptotic Distribution of the Minimum Empirical Risk
ICML 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning
NeurIPS 2024
On the Content Bias in Frechet Video Distance
CVPR 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
ICML 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
JMLR 2024
On the Effect of (Near) Duplicate Subwords in Language Modelling
ACL 2024
On the Empirical Complexity of Reasoning and Planning in LLMs
EMNLP 2024