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 64 / 69 页
- CVPR 2023Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
- CVPR 2023PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
- CVPR 2023Post-Training Quantization on Diffusion Models
- CVPR 2023Prefix Conditioning Unifies Language and Label Supervision
- CVPR 2023Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives
- CVPR 2023Reliable and Interpretable Personalized Federated Learning
- CVPR 2023Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
- CVPR 2023Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
- CVPR 2023Revisiting Rotation Averaging: Uncertainties and Robust Losses
- CVPR 2023RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor
- CVPR 2023Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting
- CVPR 2023Scalable, Detailed and Mask-Free Universal Photometric Stereo
- CVPR 2023Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
- CVPR 2023SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
- CVPR 2023SparsePose: Sparse-View Camera Pose Regression and Refinement
- CVPR 2023Spatial-Temporal Concept Based Explanation of 3D ConvNets
- CVPR 2023SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
- CVPR 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
- CVPR 2023Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
- CVPR 2023Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
- CVPR 2023StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
- CVPR 2023StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator
- CVPR 2023SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage
- CVPR 2023Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution
- CVPR 2023Towards Practical Plug-and-Play Diffusion Models
- CVPR 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
- CVPR 2023Tracking Through Containers and Occluders in the Wild
- CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
- ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
- ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
- ICLR 2023A law of adversarial risk, interpolation, and label noise
- ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
- ICLR 2023Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
- ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
- ICLR 2023Avoiding spurious correlations via logit correction
- ICLR 2023Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
- ICLR 2023Compositional Law Parsing with Latent Random Functions
- ICLR 2023Concept Gradient: Concept-based Interpretation Without Linear Assumption
- ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
- ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
- ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
- ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
- ICLR 2023DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
- ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
- ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- ICLR 2023Expressive Monotonic Neural Networks
- ICLR 2023Fairness and Accuracy under Domain Generalization
- ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
- ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
- ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
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。