Deep learning · representation learning papers, 2023–2026

Key findings

• Deep learning · representation learning fell from 259 papers in 2023 to 214 in 2026, so interest is cooling.
• NeurIPS publishes the most Deep learning · representation learning work: 279 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 11 in 2023 to 28 in 2026.
• Among the 11 topics under Deep Learning, it ranks #7 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 0.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
• ICML 2026Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
• ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
• CVPR 2026CanonCGT Reference-Based Color Grading via Canonical Pivot Representation
• NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• ICML 2025Banyan: Improved Representation Learning with Explicit Structure
• ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
• ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Disentangled Prompt Representation for Domain Generalization
• NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
• ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
• ICLR 2023Bispectral Neural Networks
• CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
• NeurIPS 2026Approximation in Contrastive Representation Learning
• ICML 2026Amortized Maximum Inner Product Search with Learned Support Functions
• ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
• CVPR 2026Enhancing Visual Representation with Textual Semantics Textual Semantics-Powered Prototypes for

All Deep learning · representation learning papers

172 papers, page 4 of 4

151. ICLR 2023NORM: Knowledge Distillation via N-to-One Representation Matching
152. ICLR 2023Omnigrok: Grokking Beyond Algorithmic Data
153. ICLR 2023Out-of-distribution Representation Learning for Time Series Classification
154. ICLR 2023Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
155. ICLR 2023Protein Representation Learning by Geometric Structure Pretraining
156. ICLR 2023Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
157. ICLR 2023Provably Efficient Lifelong Reinforcement Learning with Linear Representation
158. ICLR 2023Relative representations enable zero-shot latent space communication
159. ICLR 2023Reliability of CKA as a Similarity Measure in Deep Learning
160. ICLR 2023RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
161. ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
162. ICLR 2023SimPer: Simple Self-Supervised Learning of Periodic Targets
163. ICLR 2023Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
164. ICLR 2023Spacetime Representation Learning
165. ICLR 2023Spectral Decomposition Representation for Reinforcement Learning
166. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
167. ICLR 2023The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
168. ICLR 2023Time to augment self-supervised visual representation learning
169. ICLR 2023Toward Adversarial Training on Contextualized Language Representation
170. ICLR 2023Uni-Mol: A Universal 3D Molecular Representation Learning Framework
171. ICLR 2023Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
172. ICLR 2023Weighted Ensemble Self-Supervised Learning

FAQ

How many Deep learning · representation learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

802 in total: 259 in 2023, 177 in 2024, 152 in 2025, 214 in 2026.

How many Deep learning · representation learning papers are at NeurIPS 2026?

NeurIPS 2026 has 59 Deep learning · representation learning papers, versus 54 the year before.

How many Deep learning · representation learning papers are at ICLR 2026?

ICLR 2026 has 39 Deep learning · representation learning papers, versus 37 the year before.

How many Deep learning · representation learning papers are at ICML 2026?

ICML 2026 has 74 Deep learning · representation learning papers, versus 35 the year before.

How many Deep learning · representation learning papers are at CVPR 2026?

CVPR 2026 has 42 Deep learning · representation learning papers, versus 26 the year before.

Which conference publishes the most Deep learning · representation learning papers?

NeurIPS, with 279 papers from 2023 to 2026.