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 6 of 17

  1. ICLR 2025Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex
  2. ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
  3. ICLR 2025Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
  4. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
  5. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
  6. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
  7. ICLR 2025I-Con: A Unifying Framework for Representation Learning
  8. ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
  9. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
  10. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
  11. ICLR 2025Neural Spacetimes for DAG Representation Learning
  12. ICLR 2025Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
  13. ICLR 2025nGPT: Normalized Transformer with Representation Learning on the Hypersphere
  14. ICLR 2025NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
  15. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
  16. ICLR 2025Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
  17. ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
  18. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
  19. ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
  20. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
  21. ICLR 2025Robustness Reprogramming for Representation Learning
  22. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
  23. ICLR 2025Sensor-Invariant Tactile Representation
  24. ICLR 2025SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
  25. ICLR 2025Towards a learning theory of representation alignment
  26. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
  27. ICLR 2025Wavelet-based Positional Representation for Long Context
  28. ICML 2025A Closer Look at Backdoor Attacks on CLIP
  29. ICML 2025A Closer Look at Multimodal Representation Collapse
  30. ICML 2025Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
  31. ICML 2025Attention-Only Transformers via Unrolled Subspace Denoising
  32. ICML 2025Banyan: Improved Representation Learning with Explicit Structure
  33. ICML 2025Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
  34. ICML 2025Cover learning for large-scale topology representation
  35. ICML 2025Functional Alignment Can Mislead: Examining Model Stitching
  36. ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
  37. ICML 2025Geometric Algebra Planes: Convex Implicit Neural Volumes
  38. ICML 2025GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
  39. ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
  40. ICML 2025Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
  41. ICML 2025Learning Representations of Instruments for Partial Identification of Treatment Effects
  42. ICML 2025Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
  43. ICML 2025NEAR: Neural Electromagnetic Array Response
  44. ICML 2025On the Importance of Embedding Norms in Self-Supervised Learning
  45. ICML 2025On the Local Complexity of Linear Regions in Deep ReLU Networks
  46. ICML 2025On the Similarities of Embeddings in Contrastive Learning
  47. ICML 2025Online Laplacian-Based Representation Learning in Reinforcement Learning
  48. ICML 2025Point-Level Topological Representation Learning on Point Clouds
  49. ICML 2025PRIME: Deep Imbalanced Regression with Proxies
  50. ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning

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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.

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