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 94 篇，第 1 / 2 页

1. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
2. ICML 2023A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
3. ICML 2023A Law of Robustness beyond Isoperimetry
4. ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
5. ICML 2023A Study on Transformer Configuration and Training Objective
6. ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
7. ICML 2023abess: A Fast Best-Subset Selection Library in Python and R
8. ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
9. ICML 2023Adaptive Coordination in Social Embodied Rearrangement
10. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
11. ICML 2023Are Equivariant Equilibrium Approximators Beneficial?
12. ICML 2023Bandit Online Linear Optimization with Hints and Queries
13. ICML 2023Bandits with Knapsacks: Advice on Time-Varying Demands
14. ICML 2023Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
15. ICML 2023Better Training of GFlowNets with Local Credit and Incomplete Trajectories
16. ICML 2023Bootstrap in High Dimension with Low Computation
17. ICML 2023Brauer's Group Equivariant Neural Networks
18. ICML 2023Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
19. ICML 2023Consistency of Multiple Kernel Clustering
20. ICML 2023Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
21. ICML 2023Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
22. ICML 2023Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
23. ICML 2023Discover and Cure: Concept-aware Mitigation of Spurious Correlation
24. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
25. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
26. ICML 2023Explainability as statistical inference
27. ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
28. ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
29. ICML 2023Feature learning in deep classifiers through Intermediate Neural Collapse
30. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise
31. ICML 2023Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
32. ICML 2023Gibbsian Polar Slice Sampling
33. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
34. ICML 2023Graph Neural Networks with Learnable and Optimal Polynomial Bases
35. ICML 2023Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
36. ICML 2023Hierarchies of Reward Machines
37. ICML 2023High-dimensional Clustering onto Hamiltonian Cycle
38. ICML 2023How to address monotonicity for model risk management?
39. ICML 2023Incentivizing Exploration with Linear Contexts and Combinatorial Actions
40. ICML 2023Investigating the Role of Model-Based Learning in Exploration and Transfer
41. ICML 2023Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
42. ICML 2023Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
43. ICML 2023Learning Mixtures of Markov Chains and MDPs
44. ICML 2023Learning Prescriptive ReLU Networks
45. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
46. ICML 2023Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
47. ICML 2023LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
48. ICML 2023MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
49. ICML 2023Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
50. ICML 2023On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization

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。