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 20 / 23 页

951. ICML 2024Local vs. Global Interpretability: A Computational Complexity Perspective
952. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
953. ICML 2024MGit: A Model Versioning and Management System
954. ICML 2024Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
955. ICML 2024Model Assessment and Selection under Temporal Distribution Shift
956. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
957. ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
958. ICML 2024NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
959. ICML 2024Observable Propagation: Uncovering Feature Vectors in Transformers
960. ICML 2024Offline Training of Language Model Agents with Functions as Learnable Weights
961. ICML 2024On a Combinatorial Problem Arising in Machine Teaching
962. ICML 2024On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
963. ICML 2024On the Implicit Bias of Adam
964. ICML 2024Optimally Improving Cooperative Learning in a Social Setting
965. ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
966. ICML 2024Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
967. ICML 2024OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
968. ICML 2024Partial Optimality in the Linear Ordering Problem
969. ICML 2024Performative Prediction with Bandit Feedback: Learning through Reparameterization
970. ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
971. ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
972. ICML 2024PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
973. ICML 2024Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
974. ICML 2024Position: AI/ML Influencers Have a Place in the Academic Process
975. ICML 2024Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
976. ICML 2024Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
977. ICML 2024Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
978. ICML 2024Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation
979. ICML 2024Position: Measure Dataset Diversity, Don't Just Claim It
980. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
981. ICML 2024Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
982. ICML 2024Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
983. ICML 2024Position: Stop Making Unscientific AGI Performance Claims
984. ICML 2024Positive and Unlabeled Learning with Controlled Probability Boundary Fence
985. ICML 2024Pricing with Contextual Elasticity and Heteroscedastic Valuation
986. ICML 2024Probabilistic Constrained Reinforcement Learning with Formal Interpretability
987. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
988. ICML 2024Prospector Heads: Generalized Feature Attribution for Large Models & Data
989. ICML 2024Prototypical Transformer As Unified Motion Learners
990. ICML 2024Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
991. ICML 2024Representation Surgery: Theory and Practice of Affine Steering
992. ICML 2024Representing Molecules as Random Walks Over Interpretable Grammars
993. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
994. ICML 2024Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
995. ICML 2024Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
996. ICML 2024Robust and Conjugate Gaussian Process Regression
997. ICML 2024Scaling Down Deep Learning with MNIST-1D
998. ICML 2024Scaling Exponents Across Parameterizations and Optimizers
999. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
1000. ICML 2024Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

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。