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← Optimization & Theory
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Optimization & Theory
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Optimization
1638 directly classified papers
Papers per year
2006: 5
2007: 2
2008: 4
2009: 2
2010: 2
2011: 3
2012: 8
2013: 25
2014: 19
2015: 22
2016: 31
2017: 42
2018: 68
2019: 104
2020: 148
2021: 174
2022: 178
2023: 209
2024: 345
2025: 244
2026: 3
Papers
Boost Your Human Image Generation Model via Direct Preference Optimization
CVPR 2025
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
CVPR 2025
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
CVPR 2025
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
CVPR 2025
Balanced Rate-Distortion Optimization in Learned Image Compression
CVPR 2025
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff
ACL 2025
ECoRAG: Evidentiality-guided Compression for Long Context RAG
ACL 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
ACL 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
EMNLP 2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
EMNLP 2025
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence
EMNLP 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
EMNLP 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning
EMNLP 2025
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models
EMNLP 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
EMNLP 2025
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
EMNLP 2025
Single layer tiny Co4 outpaces GPT-2 and GPT-BERT
EMNLP 2025
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability
EMNLP 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
CVPR 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
CVPR 2025
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
CVPR 2025
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models
CVPR 2025
LESA: Learnable LLM Layer Scaling-Up
ACL 2025
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