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 1,164 篇，第 9 / 24 页

401. ICML 2025EgoPrivacy: What Your First-Person Camera Says About You?
402. ICML 2025Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
403. ICML 2025Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
404. ICML 2025Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
405. ICML 2025Empirical Privacy Variance
406. ICML 2025EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
407. ICML 2025Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
408. ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
409. ICML 2025Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
410. ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
411. ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
412. ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
413. ICML 2025FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
414. ICML 2025Fair Clustering via Alignment
415. ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
416. ICML 2025Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
417. ICML 2025Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
418. ICML 2025Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
419. ICML 2025Fast Estimation of Partial Dependence Functions using Trees
420. ICML 2025Fast Exact Unlearning for In-Context Learning Data for LLMs
421. ICML 2025Faster Rates for Private Adversarial Bandits
422. ICML 2025FDGen: A Fairness-Aware Graph Generation Model
423. ICML 2025FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
424. ICML 2025Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
425. ICML 2025Flow Matching for Denoised Social Recommendation
426. ICML 2025FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
427. ICML 2025Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
428. ICML 2025From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
429. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
430. ICML 2025From Logits to Hierarchies: Hierarchical Clustering made Simple
431. ICML 2025From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
432. ICML 2025From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
433. ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
434. ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
435. ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
436. ICML 2025Generative Social Choice: The Next Generation
437. ICML 2025GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
438. ICML 2025Going Deeper into Locally Differentially Private Graph Neural Networks
439. ICML 2025Gradient Inversion of Multimodal Models
440. ICML 2025GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
441. ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
442. ICML 2025Great Models Think Alike and this Undermines AI Oversight
443. ICML 2025Hardware and Software Platform Inference
444. ICML 2025Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking
445. ICML 2025How Do Transformers Learn Variable Binding in Symbolic Programs?
446. ICML 2025How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
447. ICML 2025How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
448. ICML 2025Identifying and Understanding Cross-Class Features in Adversarial Training
449. ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
450. ICML 2025Improving Memory Efficiency for Training KANs via Meta Learning

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。