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 1,275 篇，第 26 / 26 页

1251. NeurIPS 2023Scalable Fair Influence Maximization
1252. NeurIPS 2023Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
1253. NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
1254. NeurIPS 2023SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
1255. NeurIPS 2023Social Motion Prediction with Cognitive Hierarchies
1256. NeurIPS 2023Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
1257. NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
1258. NeurIPS 2023Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
1259. NeurIPS 2023Strategyproof Voting under Correlated Beliefs
1260. NeurIPS 2023Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
1261. NeurIPS 2023The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
1262. NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
1263. NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
1264. NeurIPS 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
1265. NeurIPS 2023Thin and deep Gaussian processes
1266. NeurIPS 2023Towards a fuller understanding of neurons with Clustered Compositional Explanations
1267. NeurIPS 2023Towards Better Dynamic Graph Learning: New Architecture and Unified Library
1268. NeurIPS 2023Tracr: Compiled Transformers as a Laboratory for Interpretability
1269. NeurIPS 2023Trade-off Between Efficiency and Consistency for Removal-based Explanations
1270. NeurIPS 2023Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
1271. NeurIPS 2023Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
1272. NeurIPS 2023Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms
1273. NeurIPS 2023Uncovering and Quantifying Social Biases in Code Generation
1274. NeurIPS 2023Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
1275. NeurIPS 2023What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization

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。