社会层面 · accountability transparency and interpretability论文趋势 2023–2026

主要结论

• 社会层面 · accountability transparency and interpretability论文从 2023 年的 301 篇增长到 2026 年的 1,357 篇，三年间扩大到约 4.5 倍。
• NeurIPS 是发社会层面 · accountability transparency and interpretability论文最多的会议，2023–2026 年共 1,275 篇，占四个会议总量的 37%。
• 交叉方向里涨得最快的是社会层面 · privacy：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 93 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的社会层面 · safety是 93 倍，社会层面 · accountability transparency and interpretability是 4.5 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Unifying Perspective on Language Model Interpretability
• ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
• ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
• CVPR 2026Beyond Matching to Tiles Bridging Unaligned Aerial and Satellite Views
• NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
• ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
• ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
• CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
• NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
• ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
• ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
• ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
• CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
• NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
• ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
• ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
• CVPR 2026IEBGLAn Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and

全部社会层面 · accountability transparency and interpretability论文

共 57 篇，第 1 / 2 页

1. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
2. ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
3. ICLR 2023A law of adversarial risk, interpolation, and label noise
4. ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
5. ICLR 2023Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
6. ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
7. ICLR 2023Avoiding spurious correlations via logit correction
8. ICLR 2023Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
9. ICLR 2023Compositional Law Parsing with Latent Random Functions
10. ICLR 2023Concept Gradient: Concept-based Interpretation Without Linear Assumption
11. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
12. ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
13. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
14. ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
15. ICLR 2023DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
16. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
17. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
18. ICLR 2023Expressive Monotonic Neural Networks
19. ICLR 2023Fairness and Accuracy under Domain Generalization
20. ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
21. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
22. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
23. ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
24. ICLR 2023Holistic Adversarially Robust Pruning
25. ICLR 2023How I Learned to Stop Worrying and Love Retraining
26. ICLR 2023How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
27. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
28. ICLR 2023Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
29. ICLR 2023Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
30. ICLR 2023Interpretability with full complexity by constraining feature information
31. ICLR 2023Label-free Concept Bottleneck Models
32. ICLR 2023Learning Vortex Dynamics for Fluid Inference and Prediction
33. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
34. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
35. ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
36. ICLR 2023Martingale Posterior Neural Processes
37. ICLR 2023Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
38. ICLR 2023MultiViz: Towards Visualizing and Understanding Multimodal Models
39. ICLR 2023On Accelerated Perceptrons and Beyond
40. ICLR 2023On Explaining Neural Network Robustness with Activation Path
41. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
42. ICLR 2023On The Specialization of Neural Modules
43. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
44. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
45. ICLR 2023Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
46. ICLR 2023Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
47. ICLR 2023Post-hoc Concept Bottleneck Models
48. ICLR 2023Progress measures for grokking via mechanistic interpretability
49. ICLR 2023Riemannian Metric Learning via Optimal Transport
50. ICLR 2023Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation

常见问题

2023–2026 年四大会议一共有多少篇社会层面 · accountability transparency and interpretability论文？

共 3,411 篇，按年份分别是 2023 年 301 篇、2024 年 589 篇、2025 年 1,164 篇、2026 年 1,357 篇。

NeurIPS 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

NeurIPS 2026 有 416 篇社会层面 · accountability transparency and interpretability论文，上一届是 522 篇。

ICLR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

ICLR 2026 有 292 篇社会层面 · accountability transparency and interpretability论文，上一届是 211 篇。

ICML 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

ICML 2026 有 541 篇社会层面 · accountability transparency and interpretability论文，上一届是 337 篇。

CVPR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？

CVPR 2026 有 108 篇社会层面 · accountability transparency and interpretability论文，上一届是 94 篇。

哪个会议的社会层面 · accountability transparency and interpretability论文最多？

NeurIPS，2023–2026 年共 1,275 篇。