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 301 篇，第 1 / 7 页

1. CVPR 20233D Shape Reconstruction of Semi-Transparent Worms
2. CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
3. CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
4. CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
5. CVPR 2023Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
6. CVPR 2023Blemish-Aware and Progressive Face Retouching With Limited Paired Data
7. CVPR 2023BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
8. CVPR 2023BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
9. CVPR 2023CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
10. CVPR 2023CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching
11. CVPR 2023Defining and Quantifying the Emergence of Sparse Concepts in DNNs
12. CVPR 2023Depth Estimation From Camera Image and mmWave Radar Point Cloud
13. CVPR 2023DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
14. CVPR 2023DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
15. CVPR 2023DivClust: Controlling Diversity in Deep Clustering
16. CVPR 2023EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata
17. CVPR 2023Exploring and Utilizing Pattern Imbalance
18. CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
19. CVPR 2023Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
20. CVPR 2023Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues
21. CVPR 2023Generalist: Decoupling Natural and Robust Generalization
22. CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
23. CVPR 2023HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces
24. CVPR 2023Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
25. CVPR 2023Kernel Aware Resampler
26. CVPR 2023Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
27. CVPR 2023Learning Neural Parametric Head Models
28. CVPR 2023LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
29. CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
30. CVPR 2023MEGANE: Morphable Eyeglass and Avatar Network
31. CVPR 2023NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation
32. CVPR 2023NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
33. CVPR 2023On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
34. CVPR 2023Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
35. CVPR 2023Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
36. CVPR 2023PACO: Parts and Attributes of Common Objects
37. CVPR 2023PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters
38. CVPR 2023Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words
39. CVPR 2023Physically Adversarial Infrared Patches With Learnable Shapes and Locations
40. CVPR 2023PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
41. CVPR 2023Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
42. CVPR 2023PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
43. CVPR 2023Post-Training Quantization on Diffusion Models
44. CVPR 2023Prefix Conditioning Unifies Language and Label Supervision
45. CVPR 2023Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives
46. CVPR 2023Reliable and Interpretable Personalized Federated Learning
47. CVPR 2023Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
48. CVPR 2023Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
49. CVPR 2023Revisiting Rotation Averaging: Uncertainties and Robust Losses
50. CVPR 2023RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor

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。