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 63 / 69 页
- NeurIPS 2024VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
- NeurIPS 2024What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
- NeurIPS 2024What makes unlearning hard and what to do about it
- NeurIPS 2024What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
- NeurIPS 2024When is an Embedding Model More Promising than Another?
- NeurIPS 2024Where does In-context Learning Happen in Large Language Models?
- NeurIPS 2024Who's asking? User personas and the mechanics of latent misalignment
- NeurIPS 2024Why are Visually-Grounded Language Models Bad at Image Classification?
- NeurIPS 2024Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
- NeurIPS 2024Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
- CVPR 20233D Shape Reconstruction of Semi-Transparent Worms
- CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
- CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
- CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
- CVPR 2023Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
- CVPR 2023Blemish-Aware and Progressive Face Retouching With Limited Paired Data
- CVPR 2023BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
- CVPR 2023BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
- CVPR 2023CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
- CVPR 2023CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching
- CVPR 2023Defining and Quantifying the Emergence of Sparse Concepts in DNNs
- CVPR 2023Depth Estimation From Camera Image and mmWave Radar Point Cloud
- CVPR 2023DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
- CVPR 2023DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
- CVPR 2023DivClust: Controlling Diversity in Deep Clustering
- CVPR 2023EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata
- CVPR 2023Exploring and Utilizing Pattern Imbalance
- CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
- CVPR 2023Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
- CVPR 2023Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues
- CVPR 2023Generalist: Decoupling Natural and Robust Generalization
- CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
- CVPR 2023HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces
- CVPR 2023Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
- CVPR 2023Kernel Aware Resampler
- CVPR 2023Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
- CVPR 2023Learning Neural Parametric Head Models
- CVPR 2023LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
- CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
- CVPR 2023MEGANE: Morphable Eyeglass and Avatar Network
- CVPR 2023NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation
- CVPR 2023NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
- CVPR 2023On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
- CVPR 2023Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
- CVPR 2023Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
- CVPR 2023PACO: Parts and Attributes of Common Objects
- CVPR 2023PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters
- CVPR 2023Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words
- CVPR 2023Physically Adversarial Infrared Patches With Learnable Shapes and Locations
- CVPR 2023PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
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。