Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
AAAI 2025
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
AAAI 2025
Search Strategy Generation for Branch and Bound Using Genetic Programming
AAAI 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
AAAI 2025
Discrete Curvature Graph Information Bottleneck
AAAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
AAAI 2025
Learning Regularization for Graph Inverse Problems
AAAI 2025
Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading
ACL 2025
On the Hardness of Training Deep Neural Networks Discretely
AAAI 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
ACL 2025
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
ACL 2025
Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning
ACL 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
AAAI 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
IJCAI 2025
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
ACL 2025
Conditional Multi-Stage Failure Recovery for Embodied Agents
ACL 2025
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression
ACL 2025
Inference Compute-Optimal Video Vision Language Models
ACL 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025
Taming LLMs with Gradient Grouping
ACL 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
EMNLP 2025
Speculative Decoding for Multi-Sample Inference
EMNLP 2025
MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
COLING 2025
<
1
…
34
35
36
…
569
>