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 255 篇，第 4 / 6 页

151. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
152. NeurIPS 2024On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
153. NeurIPS 2024On the Stability and Generalization of Meta-Learning
154. NeurIPS 2024One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
155. NeurIPS 2024Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
156. NeurIPS 2024Optimal ablation for interpretability
157. NeurIPS 2024Optimal Multiclass U-Calibration Error and Beyond
158. NeurIPS 2024Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
159. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
160. NeurIPS 2024Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
161. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
162. NeurIPS 2024Pre-trained Large Language Models Use Fourier Features to Compute Addition
163. NeurIPS 2024Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models
164. NeurIPS 2024Probabilistic size-and-shape functional mixed models
165. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
166. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
167. NeurIPS 2024Provable Benefit of Cutout and CutMix for Feature Learning
168. NeurIPS 2024Provable Tempered Overfitting of Minimal Nets and Typical Nets
169. NeurIPS 2024QTIP: Quantization with Trellises and Incoherence Processing
170. NeurIPS 2024Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
171. NeurIPS 2024QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
172. NeurIPS 2024Questioning the Survey Responses of Large Language Models
173. NeurIPS 2024RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
174. NeurIPS 2024Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
175. NeurIPS 2024ReFT: Representation Finetuning for Language Models
176. NeurIPS 2024Refusal in Language Models Is Mediated by a Single Direction
177. NeurIPS 2024RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
178. NeurIPS 2024Relational Concept Bottleneck Models
179. NeurIPS 2024Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
180. NeurIPS 2024Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
181. NeurIPS 2024Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
182. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
183. NeurIPS 2024Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
184. NeurIPS 2024Robust group and simultaneous inferences for high-dimensional single index model
185. NeurIPS 2024Safe Exploitative Play with Untrusted Type Beliefs
186. NeurIPS 2024SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
187. NeurIPS 2024Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
188. NeurIPS 2024Selective Explanations
189. NeurIPS 2024Semantics and Spatiality of Emergent Communication
190. NeurIPS 2024Semi-Discrete Optimal Transport: Nearly Minimax Estimation With Stochastic Gradient Descent and Adaptive Entropic Regularization
191. NeurIPS 2024Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
192. NeurIPS 2024Separations in the Representational Capabilities of Transformers and Recurrent Architectures
193. NeurIPS 2024Sequoia: Scalable and Robust Speculative Decoding
194. NeurIPS 2024SETBENCH: Assessing the Analytical and Semantic Robustness of Language Models
195. NeurIPS 2024Soft ascent-descent as a stable and flexible alternative to flooding
196. NeurIPS 2024SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation
197. NeurIPS 2024Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
198. NeurIPS 2024Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
199. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
200. NeurIPS 2024Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution

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。