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← Optimization & Theory
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Optimization & Theory
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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
Shrinking the Teacher: An Adaptive Teaching Paradigm for Asymmetric EEG-Vision Alignment
AAAI 2026
On Coresets for End-to-end Learning from Crowds
AAAI 2026
FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models
AAAI 2026
Autonomous Vehicle Path Planning by Searching with Differentiable Simulation
AAAI 2026
Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding
AAAI 2026
Efficient Rule Induction by Ignoring Pointless Rules
AAAI 2026
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
AAAI 2026
Faster Game Solving via Asymmetry of Step Sizes
AAAI 2026
Shapley Value Approximation Based on k-Additive Games
AAAI 2026
The Publication Choice Problem
AAAI 2026
Deep (Predictive) Discounted Counterfactual Regret Minimization
AAAI 2026
Faster Game Solving via Hyperparameter Schedules
AAAI 2026
Mitigating Length Bias in RLHF Through a Causal Lens
AAAI 2026
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
AAAI 2026
BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization
AAAI 2026
Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization
AAAI 2026
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
AAAI 2026
Inference-time Scaling for Diffusion-based Audio Super-resolution
AAAI 2026
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
AAAI 2026
UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning
AAAI 2026
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
AAAI 2026
A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds
AAAI 2026
WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking
AAAI 2026
Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs
AAAI 2026
TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models
AAAI 2026
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