Deep learning · representation learning papers, 2023–2026

Deep learning area: representation_learning

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 802 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Deep learning · representation learning papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
2023112583158259
202454384243177
202554373526152
202659397442214

Representative papers

Spread across years and venues so every edition shows up

All Deep learning · representation learning papers

YearAll2023202420252026
VenueAllNeurIPSICLRICMLCVPR

802 papers, page 11 of 17

  1. NeurIPS 2024DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
  2. NeurIPS 2024DMesh: A Differentiable Mesh Representation
  3. NeurIPS 2024Elliptical Attention
  4. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
  5. NeurIPS 2024Federated Model Heterogeneous Matryoshka Representation Learning
  6. NeurIPS 2024Foundations of Multivariate Distributional Reinforcement Learning
  7. NeurIPS 2024G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
  8. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
  9. NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
  10. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
  11. NeurIPS 2024HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
  12. NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
  13. NeurIPS 2024Improving Gloss-free Sign Language Translation by Reducing Representation Density
  14. NeurIPS 2024Latent Functional Maps: a spectral framework for representation alignment
  15. NeurIPS 2024Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
  16. NeurIPS 2024Learning diverse causally emergent representations from time series data
  17. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
  18. NeurIPS 2024Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
  19. NeurIPS 2024Learning Structured Representations with Hyperbolic Embeddings
  20. NeurIPS 2024Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
  21. NeurIPS 2024LinNet: Linear Network for Efficient Point Cloud Representation Learning
  22. NeurIPS 2024MatrixNet: Learning over symmetry groups using learned group representations
  23. NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
  24. NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
  25. NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
  26. NeurIPS 2024NVRC: Neural Video Representation Compression
  27. NeurIPS 2024Offline Multitask Representation Learning for Reinforcement Learning
  28. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
  29. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
  30. NeurIPS 2024Representation Noising: A Defence Mechanism Against Harmful Finetuning
  31. NeurIPS 2024Road Network Representation Learning with the Third Law of Geography
  32. NeurIPS 2024Self-Guided Masked Autoencoder
  33. NeurIPS 2024State Chrono Representation for Enhancing Generalization in Reinforcement Learning
  34. NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
  35. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
  36. NeurIPS 2024Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
  37. NeurIPS 2024Transformers on Markov data: Constant depth suffices
  38. NeurIPS 2024Transformers Represent Belief State Geometry in their Residual Stream
  39. NeurIPS 2024Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
  40. NeurIPS 2024Unified Lexical Representation for Interpretable Visual-Language Alignment
  41. NeurIPS 2024Unity by Diversity: Improved Representation Learning for Multimodal VAEs
  42. NeurIPS 2024WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata
  43. NeurIPS 2024Zipfian Whitening
  44. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
  45. CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
  46. CVPR 2023ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources
  47. CVPR 2023Backdoor Defense via Deconfounded Representation Learning
  48. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
  49. CVPR 2023CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
  50. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation

Ask about this trend from Claude or Cursor

Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.

Copy this prompt into your assistant

Use paperlist to show how Deep learning · representation learning papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.

Tool the assistant calls: get_topic_stats {"topic": "dl-representation-learning"}

Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)

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.

More in Deep Learning