Scaling Laws papers, 2023–2026
Data and model scaling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 605 papers are tagged with this topic.
Key findings
- Scaling Laws went from 60 papers in 2023 to 248 in 2026, roughly 4.1x in three years.
- NeurIPS publishes the most Scaling Laws work: 221 papers from 2023 to 2026, 37% of the four-venue total.
- The fastest-growing overlap is with Time Series: papers tagged with both rose from 1 in 2023 to 24 in 2026.
- Among the 5 topics under Optimization and Scaling, it ranks #5 by 2026 paper count; the fastest grower in the group, Low-Rank Adaptation, is up 3.0x versus 4.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 21 | 14 | 17 | 8 | 60 |
| 2024 | 38 | 15 | 33 | 10 | 96 |
| 2025 | 80 | 48 | 56 | 17 | 201 |
| 2026 | 82 | 73 | 78 | 15 | 248 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Unified Merge Calculus for Learning-Rate Scaling on Neural Computation Graphs
- ICML 2026A Capacity-Based Rationale for Multi-Head Attention
- ICLR 2026$\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed Generalization
- CVPR 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
- NeurIPS 2025Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
- ICML 2025A Simple Model of Inference Scaling Laws
- ICLR 2025(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
- CVPR 2025D^3: Scaling Up Deepfake Detection by Learning from Discrepancy
- NeurIPS 2024An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
- ICML 2024A Dynamical Model of Neural Scaling Laws
- ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
- CVPR 2024From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
- NeurIPS 2023Abide by the law and follow the flow: conservation laws for gradient flows
- ICML 2023Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
- ICLR 2023Distributionally Robust Post-hoc Classifiers under Prior Shifts
- CVPR 2023LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
- NeurIPS 2026ADIS-Law: Unified Scaling Laws for Annealing-Phase Domain Injection in Large Language Models
- ICML 2026Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
- ICLR 2026A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
- CVPR 2026MatAnyone 2 Scaling Video Matting via a Learned Quality Evaluator
All Scaling Laws papers
50 papers, page 1 of 1
- CVPR 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
- CVPR 2026AnyLift Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
- CVPR 2026FFP-300K Scaling First-Frame Propagation for Generalizable Video Editing
- CVPR 2026Iterative Closed-Loop Motion Synthesis for Scaling the Capabilities of Humanoid
- CVPR 2026LaSM Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI
- CVPR 2026MatAnyone 2 Scaling Video Matting via a Learned Quality Evaluator
- CVPR 2026PointWorld Scaling 3D World Models for In-The-Wild Robotic Manipulation
- CVPR 2026Scaling Dense Event-Stream Pretraining from Visual Foundation Models
- CVPR 2026Scaling Multi-Identity Consistency for Image Customization via Multi-to-Multi Matching Paradigm
- CVPR 2026Scaling Spatial Intelligence with Multimodal Foundation Models
- CVPR 2026Scaling View Synthesis Transformers
- CVPR 2026Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
- CVPR 2026VibeToken Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic
- CVPR 2026Vocabulary Scaling Law Tuning Open-vocabulary Predictors for Their Openness
- CVPR 2026WebGym Scaling Training Environments for Long-Horizon Visual Web Agents with
- CVPR 2025Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
- CVPR 2025Cubify Anything: Scaling Indoor 3D Object Detection
- CVPR 2025D^3: Scaling Up Deepfake Detection by Learning from Discrepancy
- CVPR 2025FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection
- CVPR 2025Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
- CVPR 2025Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality
- CVPR 2025MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
- CVPR 2025Scaling Inference Time Compute for Diffusion Models
- CVPR 2025Scaling Properties of Diffusion Models For Perceptual Tasks
- CVPR 2025Scaling up Image Segmentation across Data and Tasks
- CVPR 2025Scaling Vision Pre-Training to 4K Resolution
- CVPR 2025ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
- CVPR 2025SGSST: Scaling Gaussian Splatting Style Transfer
- CVPR 2025Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
- CVPR 2025T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
- CVPR 2025Towards Precise Scaling Laws for Video Diffusion Transformers
- CVPR 2025UNIALIGN: Scaling Multimodal Alignment within One Unified Model
- CVPR 2024Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
- CVPR 2024An Empirical Study of Scaling Law for Scene Text Recognition
- CVPR 2024DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
- CVPR 2024From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
- CVPR 2024InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
- CVPR 2024Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
- CVPR 2024Scaling Laws of Synthetic Images for Model Training ... for Now
- CVPR 2024Scaling Up Dynamic Human-Scene Interaction Modeling
- CVPR 2024Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
- CVPR 2024Scaling Up Video Summarization Pretraining with Large Language Models
- CVPR 2023ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders
- CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
- CVPR 2023LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
- CVPR 2023On Data Scaling in Masked Image Modeling
- CVPR 2023Reproducible Scaling Laws for Contrastive Language-Image Learning
- CVPR 2023ResFormer: Scaling ViTs With Multi-Resolution Training
- CVPR 2023Scaling Language-Image Pre-Training via Masking
- CVPR 2023VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking
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FAQ
- How many Scaling Laws papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 605 in total: 60 in 2023, 96 in 2024, 201 in 2025, 248 in 2026.
- How many Scaling Laws papers are at NeurIPS 2026?
- NeurIPS 2026 has 82 Scaling Laws papers, versus 80 the year before.
- How many Scaling Laws papers are at ICLR 2026?
- ICLR 2026 has 73 Scaling Laws papers, versus 48 the year before.
- How many Scaling Laws papers are at ICML 2026?
- ICML 2026 has 78 Scaling Laws papers, versus 56 the year before.
- How many Scaling Laws papers are at CVPR 2026?
- CVPR 2026 has 15 Scaling Laws papers, versus 17 the year before.
- Which conference publishes the most Scaling Laws papers?
- NeurIPS, with 221 papers from 2023 to 2026.