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 14 of 17

651. ICLR 2023Spacetime Representation Learning
652. ICLR 2023Spectral Decomposition Representation for Reinforcement Learning
653. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
654. ICLR 2023The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
655. ICLR 2023Time to augment self-supervised visual representation learning
656. ICLR 2023Toward Adversarial Training on Contextualized Language Representation
657. ICLR 2023Uni-Mol: A Universal 3D Molecular Representation Learning Framework
658. ICLR 2023Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
659. ICLR 2023Weighted Ensemble Self-Supervised Learning
660. ICML 2023A General Representation Learning Framework with Generalization Performance Guarantees
661. ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
662. ICML 2023Adversarial Collaborative Learning on Non-IID Features
663. ICML 2023Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
664. ICML 2023Deep Graph Representation Learning and Optimization for Influence Maximization
665. ICML 2023Defects of Convolutional Decoder Networks in Frequency Representation
666. ICML 2023Diffusion Based Representation Learning
667. ICML 2023Disentangled Multiplex Graph Representation Learning
668. ICML 2023Dynamics-inspired Neuromorphic Visual Representation Learning
669. ICML 2023Entropy-driven Unsupervised Keypoint Representation Learning in Videos
670. ICML 2023FARE: Provably Fair Representation Learning with Practical Certificates
671. ICML 2023Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation
672. ICML 2023FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
673. ICML 2023Generalization Analysis for Contrastive Representation Learning
674. ICML 2023Hyperbolic Representation Learning: Revisiting and Advancing
675. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
676. ICML 2023Internet Explorer: Targeted Representation Learning on the Open Web
677. ICML 2023Interventional Causal Representation Learning
678. ICML 2023Learning Affinity with Hyperbolic Representation for Spatial Propagation
679. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
680. ICML 2023On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
681. ICML 2023Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
682. ICML 2023Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
683. ICML 2023Representation-Driven Reinforcement Learning
684. ICML 2023Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
685. ICML 2023Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
686. ICML 2023The Numerical Stability of Hyperbolic Representation Learning
687. ICML 2023Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
688. ICML 2023Towards a better understanding of representation dynamics under TD-learning
689. ICML 2023Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
690. ICML 2023Weakly Supervised Disentangled Generative Causal Representation Learning
691. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
692. NeurIPS 2023$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
693. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
694. NeurIPS 2023A State Representation for Diminishing Rewards
695. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
696. NeurIPS 2023Active representation learning for general task space with applications in robotics
697. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
698. NeurIPS 2023CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
699. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
700. NeurIPS 2023CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation

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.