社会层面 · accountability transparency and interpretability论文趋势 2023–2026
AI 社会议题：accountability_transparency_and_interpretability
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,411 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
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 3,411 篇，第 68 / 69 页
- NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
- NeurIPS 2023Error Discovery By Clustering Influence Embeddings
- NeurIPS 2023Evaluating the Moral Beliefs Encoded in LLMs
- NeurIPS 2023Explainable Brain Age Prediction using coVariance Neural Networks
- NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
- NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
- NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
- NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
- NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
- NeurIPS 2023Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
- NeurIPS 2023Generalized equivalences between subsampling and ridge regularization
- NeurIPS 2023GLIME: General, Stable and Local LIME Explanation
- NeurIPS 2023How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
- NeurIPS 2023Human-Guided Complexity-Controlled Abstractions
- NeurIPS 2023Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
- NeurIPS 2023Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks
- NeurIPS 2023Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
- NeurIPS 2023LEACE: Perfect linear concept erasure in closed form
- NeurIPS 2023Maximum State Entropy Exploration using Predecessor and Successor Representations
- NeurIPS 2023Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
- NeurIPS 2023Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
- NeurIPS 2023On Masked Pre-training and the Marginal Likelihood
- NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
- NeurIPS 2023On the impact of activation and normalization in obtaining isometric embeddings at initialization
- NeurIPS 2023On the Interplay between Social Welfare and Tractability of Equilibria
- NeurIPS 2023On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
- NeurIPS 2023On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
- NeurIPS 2023Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
- NeurIPS 2023Online Corrupted User Detection and Regret Minimization
- NeurIPS 2023Optimized Covariance Design for AB Test on Social Network under Interference
- NeurIPS 2023ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
- NeurIPS 2023Participatory Personalization in Classification
- NeurIPS 2023PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones
- NeurIPS 2023Regret Matching+: (In)Stability and Fast Convergence in Games
- NeurIPS 2023Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
- NeurIPS 2023Robust covariance estimation with missing values and cell-wise contamination
- NeurIPS 2023Scalable Fair Influence Maximization
- NeurIPS 2023Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
- NeurIPS 2023Sequential Predictive Two-Sample and Independence Testing
- NeurIPS 2023SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
- NeurIPS 2023Social Motion Prediction with Cognitive Hierarchies
- NeurIPS 2023Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
- NeurIPS 2023Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
- NeurIPS 2023Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
- NeurIPS 2023Strategyproof Voting under Correlated Beliefs
- NeurIPS 2023Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
- NeurIPS 2023The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
- NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
- NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
- NeurIPS 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查社会层面 · accountability transparency and interpretability在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "social-accountability-transparency-and-interpretability"}
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。