Scaling Laws papers, 2023–2026

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.

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

201 papers, page 3 of 5

101. ICML 2025Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
102. ICML 2025Scaling Inference-Efficient Language Models
103. ICML 2025Scaling Large Motion Models with Million-Level Human Motions
104. ICML 2025Scaling Laws for Differentially Private Language Models
105. ICML 2025Scaling Laws for Floating–Point Quantization Training
106. ICML 2025Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
107. ICML 2025Scaling Laws for Pre-training Agents and World Models
108. ICML 2025Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
109. ICML 2025Scaling Laws for Upcycling Mixture-of-Experts Language Models
110. ICML 2025Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
111. ICML 2025Scaling Probabilistic Circuits via Monarch Matrices
112. ICML 2025Scaling Sparse Feature Circuits For Studying In-Context Learning
113. ICML 2025Scaling Trends in Language Model Robustness
114. ICML 2025Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
115. ICML 2025TabFlex: Scaling Tabular Learning to Millions with Linear Attention
116. ICML 2025The Importance of Being Lazy: Scaling Limits of Continual Learning
117. ICML 2025The Underlying Universal Statistical Structure of Natural Datasets
118. ICML 2025Transformative or Conservative? Conservation laws for ResNets and Transformers
119. ICML 2025Value-Based Deep RL Scales Predictably
120. ICML 2025Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
121. ICML 2025µnit Scaling: Simple and Scalable FP8 LLM Training
122. NeurIPS 2025$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
123. NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
124. NeurIPS 2025AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
125. NeurIPS 2025Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
126. NeurIPS 2025Avoiding exp(R) scaling in RLHF through Preference-based Exploration
127. NeurIPS 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
128. NeurIPS 2025Can DPO Learn Diverse Human Values? A Theoretical Scaling Law
129. NeurIPS 2025Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
130. NeurIPS 2025Complexity Scaling Laws for Neural Models using Combinatorial Optimization
131. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
132. NeurIPS 2025Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
133. NeurIPS 2025Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
134. NeurIPS 2025Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality
135. NeurIPS 2025Dimension-adapted Momentum Outscales SGD
136. NeurIPS 2025DISC: Dynamic Decomposition Improves LLM Inference Scaling
137. NeurIPS 2025Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
138. NeurIPS 2025E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
139. NeurIPS 2025Efficiently Scaling LLM Reasoning Programs with Certaindex
140. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
141. NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
142. NeurIPS 2025Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
143. NeurIPS 2025Gemstones: A Model Suite for Multi-Faceted Scaling Laws
144. NeurIPS 2025GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
145. NeurIPS 2025GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
146. NeurIPS 2025HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
147. NeurIPS 2025How to Scale Second-Order Optimization
148. NeurIPS 2025Improved Scaling Laws in Linear Regression via Data Reuse
149. NeurIPS 2025Inference-Time Hyper-Scaling with KV Cache Compression
150. NeurIPS 2025Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs

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.