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
271 papers, page 4 of 6
- ICML 2025Procurement Auctions via Approximately Optimal Submodular Optimization
- ICML 2025R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
- ICML 2025Reliable Algorithm Selection for Machine Learning-Guided Design
- ICML 2025Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
- ICML 2025Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
- ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
- ICML 2025Simplifying DINO via Coding Rate Regularization
- ICML 2025Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
- ICML 2025Stronger Neyman Regret Guarantees for Adaptive Experimental Design
- ICML 2025Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
- ICML 2025Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
- ICML 2025When Bad Data Leads to Good Models
- ICML 2025You Get What You Give: Reciprocally Fair Federated Learning
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
- NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
- NeurIPS 2025ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
- NeurIPS 2025AlphaFold Database Debiasing for Robust Inverse Folding
- NeurIPS 2025Ambient Proteins - Training Diffusion Models on Noisy Structures
- NeurIPS 2025Attention Mechanism, Max-Affine Partition, and Universal Approximation
- NeurIPS 2025Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
- NeurIPS 2025Bayes optimal learning of attention-indexed models
- NeurIPS 2025Beyond Last-Click: An Optimal Mechanism for Ad Attribution
- NeurIPS 2025BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
- NeurIPS 2025Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
- NeurIPS 2025Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
- NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
- NeurIPS 2025Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
- NeurIPS 2025Convergent Functions, Divergent Forms
- NeurIPS 2025Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
- NeurIPS 2025CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design
- NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
- NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
- NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
- NeurIPS 2025DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
- NeurIPS 2025Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
- NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
- NeurIPS 2025Emergence of Linear Truth Encodings in Language Models
- NeurIPS 2025EngiBench: A Framework for Data-Driven Engineering Design Research
- NeurIPS 2025Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
- NeurIPS 2025Error Forcing in Recurrent Neural Networks
- NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
- NeurIPS 2025Exploring the Translation Mechanism of Large Language Models
- NeurIPS 2025Fast attention mechanisms: a tale of parallelism
- NeurIPS 2025FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
- NeurIPS 2025From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
- NeurIPS 2025Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
- NeurIPS 2025Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
- NeurIPS 2025Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
- NeurIPS 2025GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
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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.