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 1,124 篇，第 13 / 23 页

601. ICML 2025CoDy: Counterfactual Explainers for Dynamic Graphs
602. ICML 2025Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
603. ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
604. ICML 2025Computing Voting Rules with Improvement Feedback
605. ICML 2025Concept-Based Unsupervised Domain Adaptation
606. ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
607. ICML 2025Constrain Alignment with Sparse Autoencoders
608. ICML 2025Constrained Belief Updates Explain Geometric Structures in Transformer Representations
609. ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
610. ICML 2025Correlated Errors in Large Language Models
611. ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
612. ICML 2025Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
613. ICML 2025Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
614. ICML 2025De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
615. ICML 2025Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
616. ICML 2025Detecting Strategic Deception with Linear Probes
617. ICML 2025Differential Privacy Under Class Imbalance: Methods and Empirical Insights
618. ICML 2025Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
619. ICML 2025Differentially Private Boxplots
620. ICML 2025Differentially Private Federated $k$-Means Clustering with Server-Side Data
621. ICML 2025Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
622. ICML 2025Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
623. ICML 2025Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
624. ICML 2025Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
625. ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
626. ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
627. ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
628. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
629. ICML 2025Distributed Differentially Private Data Analytics via Secure Sketching
630. ICML 2025Divide and Conquer: Learning Label Distribution with Subtasks
631. ICML 2025DRAG: Data Reconstruction Attack using Guided Diffusion
632. ICML 2025E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
633. ICML 2025EasyInv: Toward Fast and Better DDIM Inversion
634. ICML 2025Editable Concept Bottleneck Models
635. ICML 2025Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
636. ICML 2025Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
637. ICML 2025EgoPrivacy: What Your First-Person Camera Says About You?
638. ICML 2025Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
639. ICML 2025Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
640. ICML 2025Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
641. ICML 2025Empirical Privacy Variance
642. ICML 2025EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
643. ICML 2025Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
644. ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
645. ICML 2025Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
646. ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
647. ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
648. ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
649. ICML 2025FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
650. ICML 2025Fair Clustering via Alignment

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。