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

802 papers, page 16 of 17

751. NeurIPS 2023Minimum Description Length and Generalization Guarantees for Representation Learning
752. NeurIPS 2023Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
753. NeurIPS 2023Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
754. NeurIPS 2023MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
755. NeurIPS 2023NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
756. NeurIPS 2023NCDL: A Framework for Deep Learning on non-Cartesian Lattices
757. NeurIPS 2023Near-optimal learning with average Hölder smoothness
758. NeurIPS 2023No Representation Rules Them All in Category Discovery
759. NeurIPS 2023Nonparametric Identifiability of Causal Representations from Unknown Interventions
760. NeurIPS 2023Object-centric Learning with Cyclic Walks between Parts and Whole
761. NeurIPS 2023Optimistic Rates for Multi-Task Representation Learning
762. NeurIPS 2023PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
763. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
764. NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
765. NeurIPS 2023Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
766. NeurIPS 2023Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion
767. NeurIPS 2023PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
768. NeurIPS 2023PyNeRF: Pyramidal Neural Radiance Fields
769. NeurIPS 2023Rank-N-Contrast: Learning Continuous Representations for Regression
770. NeurIPS 2023Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
771. NeurIPS 2023Reining Generalization in Offline Reinforcement Learning via Representation Distinction
772. NeurIPS 2023RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
773. NeurIPS 2023Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
774. NeurIPS 2023Representation Learning via Consistent Assignment of Views over Random Partitions
775. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
776. NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
777. NeurIPS 2023Reverse Engineering Self-Supervised Learning
778. NeurIPS 2023RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
779. NeurIPS 2023Robust Concept Erasure via Kernelized Rate-Distortion Maximization
780. NeurIPS 2023Rotating Features for Object Discovery
781. NeurIPS 2023SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
782. NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
783. NeurIPS 2023Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
784. NeurIPS 2023SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization
785. NeurIPS 2023Slot-guided Volumetric Object Radiance Fields
786. NeurIPS 2023StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
787. NeurIPS 2023State Sequences Prediction via Fourier Transform for Representation Learning
788. NeurIPS 2023STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
789. NeurIPS 2023Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
790. NeurIPS 2023Temporally Disentangled Representation Learning under Unknown Nonstationarity
791. NeurIPS 2023The Tunnel Effect: Building Data Representations in Deep Neural Networks
792. NeurIPS 2023TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
793. NeurIPS 2023Towards a Unified Framework of Contrastive Learning for Disentangled Representations
794. NeurIPS 2023Towards In-context Scene Understanding
795. NeurIPS 2023Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
796. NeurIPS 2023Tree Variational Autoencoders
797. NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
798. NeurIPS 2023Uncovering Neural Scaling Laws in Molecular Representation Learning
799. NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
800. NeurIPS 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

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.