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 82 篇，第 1 / 2 页

1. NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
2. NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
3. NeurIPS 2023[Re] VAE Approximation Error: ELBO and Exponential Families
4. NeurIPS 2023A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
5. NeurIPS 2023A normative theory of social conflict
6. NeurIPS 2023A Robust and Opponent-Aware League Training Method for StarCraft II
7. NeurIPS 2023Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
8. NeurIPS 2023Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
9. NeurIPS 2023Auxiliary Losses for Learning Generalizable Concept-based Models
10. NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
11. NeurIPS 2023Bridging Discrete and Backpropagation: Straight-Through and Beyond
12. NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
13. NeurIPS 2023D-Separation for Causal Self-Explanation
14. NeurIPS 2023D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
15. NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
16. NeurIPS 2023Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
17. NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
18. NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
19. NeurIPS 2023Double Auctions with Two-sided Bandit Feedback
20. NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
21. NeurIPS 2023Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
22. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
23. NeurIPS 2023Error Discovery By Clustering Influence Embeddings
24. NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
25. NeurIPS 2023Explainable Brain Age Prediction using coVariance Neural Networks
26. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
27. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
28. NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
29. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
30. NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
31. NeurIPS 2023Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
32. NeurIPS 2023Generalized equivalences between subsampling and ridge regularization
33. NeurIPS 2023GLIME: General, Stable and Local LIME Explanation
34. NeurIPS 2023How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
35. NeurIPS 2023Human-Guided Complexity-Controlled Abstractions
36. NeurIPS 2023Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
37. NeurIPS 2023Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks
38. NeurIPS 2023Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
39. NeurIPS 2023LEACE: Perfect linear concept erasure in closed form
40. NeurIPS 2023Maximum State Entropy Exploration using Predecessor and Successor Representations
41. NeurIPS 2023Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
42. NeurIPS 2023Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
43. NeurIPS 2023On Masked Pre-training and the Marginal Likelihood
44. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
45. NeurIPS 2023On the impact of activation and normalization in obtaining isometric embeddings at initialization
46. NeurIPS 2023On the Interplay between Social Welfare and Tractability of Equilibria
47. NeurIPS 2023On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
48. NeurIPS 2023On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
49. NeurIPS 2023Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
50. NeurIPS 2023Online Corrupted User Detection and Regret Minimization

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。