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 53 / 69 页
- CVPR 2024SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
- CVPR 2024SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
- CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- CVPR 2024SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
- CVPR 2024Synergistic Global-space Camera and Human Reconstruction from Videos
- CVPR 2024SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
- CVPR 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
- CVPR 2024Towards Accurate and Robust Architectures via Neural Architecture Search
- CVPR 2024Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline
- CVPR 2024TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
- CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
- CVPR 2024Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
- CVPR 2024Unifying Automatic and Interactive Matting with Pretrained ViTs
- CVPR 2024Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
- CVPR 2024Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
- CVPR 2024Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
- CVPR 2024VAREN: Very Accurate and Realistic Equine Network
- CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
- CVPR 2024WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
- CVPR 2024WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts
- ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
- ICLR 2024A Benchmark Study on Calibration
- ICLR 2024A path-norm toolkit for modern networks: consequences, promises and challenges
- ICLR 2024A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
- ICLR 2024AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
- ICLR 2024Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
- ICLR 2024Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
- ICLR 2024Benchmarking and Improving Generator-Validator Consistency of Language Models
- ICLR 2024Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
- ICLR 2024Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
- ICLR 2024Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
- ICLR 2024CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
- ICLR 2024Circuit Component Reuse Across Tasks in Transformer Language Models
- ICLR 2024Compositional Preference Models for Aligning LMs
- ICLR 2024CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
- ICLR 2024Demystifying Embedding Spaces using Large Language Models
- ICLR 2024Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
- ICLR 2024Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
- ICLR 2024Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
- ICLR 2024Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
- ICLR 2024EX-Graph: A Pioneering Dataset Bridging Ethereum and X
- ICLR 2024Explaining Kernel Clustering via Decision Trees
- ICLR 2024Exploring the cloud of feature interaction scores in a Rashomon set
- ICLR 2024Faithful Vision-Language Interpretation via Concept Bottleneck Models
- ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares
- ICLR 2024FedImpro: Measuring and Improving Client Update in Federated Learning
- ICLR 2024Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
- ICLR 2024Function Vectors in Large Language Models
- ICLR 2024GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
- ICLR 2024GOAt: Explaining Graph Neural Networks via Graph Output Attribution
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。