Mechanism Design papers, 2023–2026
Auctions and mechanisms
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,037 papers are tagged with this topic.
Key findings
- Mechanism Design went from 140 papers in 2023 to 426 in 2026, roughly 3.0x in three years.
- NeurIPS publishes the most Mechanism Design work: 394 papers from 2023 to 2026, 38% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 5 in 2023 to 42 in 2026.
- Among the 5 topics under Games and Planning, it ranks #2 by 2026 paper count; the fastest grower in the group, Classical Planning, is up 3.3x versus 3.0x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 42 | 34 | 35 | 29 | 140 |
| 2024 | 69 | 25 | 67 | 39 | 200 |
| 2025 | 108 | 58 | 65 | 40 | 271 |
| 2026 | 175 | 65 | 128 | 58 | 426 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- ICML 2026Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- CVPR 2026FEAT Fashion Editing and Try-On from Any Design
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
- ICLR 2025AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
- CVPR 2025A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICLR 2024Adaptive Instrument Design for Indirect Experiments
- CVPR 2024InceptionNeXt: When Inception Meets ConvNeXt
- NeurIPS 2023An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
- ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
- ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
- CVPR 2023Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
- NeurIPS 2026A Unified Framework for Uniform-Price Resource Allocation Mechanisms
- ICML 2026Anatomy of Massive Activations and Attention Sinks
- ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
- CVPR 2026Parallax to Align Them All An OmniParallax Attention Mechanism for
All Mechanism Design papers
69 papers, page 1 of 2
- NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
- NeurIPS 2024A theoretical design of concept sets: improving the predictability of concept bottleneck models
- NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
- NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
- NeurIPS 2024Adaptive Experimentation When You Can't Experiment
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
- NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
- NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
- NeurIPS 2024Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
- NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
- NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
- NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
- NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
- NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
- NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
- NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
- NeurIPS 2024Deep Submodular Peripteral Networks
- NeurIPS 2024Detecting and Measuring Confounding Using Causal Mechanism Shifts
- NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
- NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
- NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
- NeurIPS 2024Evaluating the design space of diffusion-based generative models
- NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
- NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
- NeurIPS 2024Fast Proxy Experiment Design for Causal Effect Identification
- NeurIPS 2024Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
- NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
- NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
- NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
- NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
- NeurIPS 2024Gliding over the Pareto Front with Uniform Designs
- NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
- NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
- NeurIPS 2024IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
- NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
- NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
- NeurIPS 2024Knowledge Circuits in Pretrained Transformers
- NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
- NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
- NeurIPS 2024MAC Advice for facility location mechanism design
- NeurIPS 2024Mechanism design augmented with output advice
- NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
- NeurIPS 2024Molecule Design by Latent Prompt Transformer
- NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
- NeurIPS 2024NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
- NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
- NeurIPS 2024No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
- NeurIPS 2024On the Computational Complexity of Private High-dimensional Model Selection
- NeurIPS 2024On the Role of Attention Masks and LayerNorm in Transformers
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FAQ
- How many Mechanism Design papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,037 in total: 140 in 2023, 200 in 2024, 271 in 2025, 426 in 2026.
- How many Mechanism Design papers are at NeurIPS 2026?
- NeurIPS 2026 has 175 Mechanism Design papers, versus 108 the year before.
- How many Mechanism Design papers are at ICLR 2026?
- ICLR 2026 has 65 Mechanism Design papers, versus 58 the year before.
- How many Mechanism Design papers are at ICML 2026?
- ICML 2026 has 128 Mechanism Design papers, versus 65 the year before.
- How many Mechanism Design papers are at CVPR 2026?
- CVPR 2026 has 58 Mechanism Design papers, versus 40 the year before.
- Which conference publishes the most Mechanism Design papers?
- NeurIPS, with 394 papers from 2023 to 2026.