Knowledge Injection papers, 2023–2026

KG injection

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 131 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Knowledge Injection papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202341061434
2024106121139
20251296532
2026954826

Representative papers

Spread across years and venues so every edition shows up

All Knowledge Injection papers

39 papers, page 1 of 1

  1. CVPR 2024Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
  2. CVPR 2024Building Optimal Neural Architectures using Interpretable Knowledge
  3. CVPR 2024De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
  4. CVPR 2024FreeKD: Knowledge Distillation via Semantic Frequency Prompt
  5. CVPR 2024Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
  6. CVPR 2024Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
  7. CVPR 2024Logit Standardization in Knowledge Distillation
  8. CVPR 2024Overcoming Generic Knowledge Loss with Selective Parameter Update
  9. CVPR 2024Small Scale Data-Free Knowledge Distillation
  10. CVPR 2024Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
  11. CVPR 2024VkD: Improving Knowledge Distillation using Orthogonal Projections
  12. ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
  13. ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
  14. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
  15. ICLR 2024MiniLLM: Knowledge Distillation of Large Language Models
  16. ICLR 2024Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
  17. ICLR 2024Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
  18. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
  19. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
  20. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
  21. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
  22. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
  23. ICML 2024Knowledge Distillation with Auxiliary Variable
  24. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
  25. ICML 2024Layerwise Change of Knowledge in Neural Networks
  26. ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
  27. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
  28. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
  29. ICML 2024WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
  30. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
  31. NeurIPS 2024Cost-efficient Knowledge-based Question Answering with Large Language Models
  32. NeurIPS 2024Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
  33. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
  34. NeurIPS 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?
  35. NeurIPS 2024Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
  36. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
  37. NeurIPS 2024MeMo: Meaningful, Modular Controllers via Noise Injection
  38. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
  39. NeurIPS 2024Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

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FAQ

How many Knowledge Injection papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
131 in total: 34 in 2023, 39 in 2024, 32 in 2025, 26 in 2026.
How many Knowledge Injection papers are at NeurIPS 2026?
NeurIPS 2026 has 9 Knowledge Injection papers, versus 12 the year before.
How many Knowledge Injection papers are at ICLR 2026?
ICLR 2026 has 5 Knowledge Injection papers, versus 9 the year before.
How many Knowledge Injection papers are at ICML 2026?
ICML 2026 has 4 Knowledge Injection papers, versus 6 the year before.
How many Knowledge Injection papers are at CVPR 2026?
CVPR 2026 has 8 Knowledge Injection papers, versus 5 the year before.
Which conference publishes the most Knowledge Injection papers?
CVPR, with 38 papers from 2023 to 2026.

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