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 22 / 24 页

1051. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
1052. NeurIPS 2025Sketched Gaussian Mechanism for Private Federated Learning
1053. NeurIPS 2025Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
1054. NeurIPS 2025SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
1055. NeurIPS 2025Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
1056. NeurIPS 2025SOMBRL: Scalable and Optimistic Model-Based RL
1057. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
1058. NeurIPS 2025Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
1059. NeurIPS 2025Spectral Conditioning of Attention Improves Transformer Performance
1060. NeurIPS 2025SpEx: A Spectral Approach to Explainable Clustering
1061. NeurIPS 2025Spike-timing-dependent Hebbian learning as noisy gradient descent
1062. NeurIPS 2025Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
1063. NeurIPS 2025Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
1064. NeurIPS 2025Stable Matching with Ties: Approximation Ratios and Learning
1065. NeurIPS 2025StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
1066. NeurIPS 2025STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
1067. NeurIPS 2025SteerConf: Steering LLMs for Confidence Elicitation
1068. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
1069. NeurIPS 2025StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
1070. NeurIPS 2025STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
1071. NeurIPS 2025Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
1072. NeurIPS 2025Strassen Attention, Split VC Dimension and Compositionality in Transformers
1073. NeurIPS 2025Strategic Classification with Non-Linear Classifiers
1074. NeurIPS 2025Strategic Cost Selection in Participatory Budgeting
1075. NeurIPS 2025Strategic Costs of Perceived Bias in Fair Selection
1076. NeurIPS 2025Strategic Hypothesis Testing
1077. NeurIPS 2025StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations
1078. NeurIPS 2025Subgraph Federated Learning via Spectral Methods
1079. NeurIPS 2025Sum Estimation under Personalized Local Differential Privacy
1080. NeurIPS 2025Synergistic Tensor and Pipeline Parallelism
1081. NeurIPS 2025Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
1082. NeurIPS 2025System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts
1083. NeurIPS 2025Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
1084. NeurIPS 2025Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
1085. NeurIPS 2025The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
1086. NeurIPS 2025The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
1087. NeurIPS 2025The Complexity of Correlated Equilibria in Generalized Games
1088. NeurIPS 2025The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
1089. NeurIPS 2025The emergence of sparse attention: impact of data distribution and benefits of repetition
1090. NeurIPS 2025The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
1091. NeurIPS 2025The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction
1092. NeurIPS 2025The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness
1093. NeurIPS 2025The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
1094. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
1095. NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
1096. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
1097. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
1098. NeurIPS 2025The Temporal Graph of Bitcoin Transactions
1099. NeurIPS 2025The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
1100. NeurIPS 2025The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

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。