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 22 / 23 页

1051. ICML 2023Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
1052. ICML 2023Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
1053. ICML 2023Discover and Cure: Concept-aware Mitigation of Spurious Correlation
1054. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
1055. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
1056. ICML 2023Explainability as statistical inference
1057. ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
1058. ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
1059. ICML 2023Feature learning in deep classifiers through Intermediate Neural Collapse
1060. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise
1061. ICML 2023Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
1062. ICML 2023Gibbsian Polar Slice Sampling
1063. ICML 2023Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
1064. ICML 2023Graph Neural Networks with Learnable and Optimal Polynomial Bases
1065. ICML 2023Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
1066. ICML 2023Hierarchies of Reward Machines
1067. ICML 2023High-dimensional Clustering onto Hamiltonian Cycle
1068. ICML 2023How to address monotonicity for model risk management?
1069. ICML 2023Incentivizing Exploration with Linear Contexts and Combinatorial Actions
1070. ICML 2023Investigating the Role of Model-Based Learning in Exploration and Transfer
1071. ICML 2023Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
1072. ICML 2023Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
1073. ICML 2023Learning Mixtures of Markov Chains and MDPs
1074. ICML 2023Learning Prescriptive ReLU Networks
1075. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
1076. ICML 2023Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
1077. ICML 2023LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
1078. ICML 2023MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
1079. ICML 2023Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
1080. ICML 2023On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization
1081. ICML 2023On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
1082. ICML 2023On Preemption and Learning in Stochastic Scheduling
1083. ICML 2023On Regularization and Inference with Label Constraints
1084. ICML 2023On the Functional Similarity of Robust and Non-Robust Neural Representations
1085. ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
1086. ICML 2023On the Impact of Knowledge Distillation for Model Interpretability
1087. ICML 2023On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
1088. ICML 2023On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
1089. ICML 2023Optimal Sets and Solution Paths of ReLU Networks
1090. ICML 2023Polarity Is All You Need to Learn and Transfer Faster
1091. ICML 2023Project and Forget: Solving Large-Scale Metric Constrained Problems
1092. ICML 2023Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
1093. ICML 2023Quantifying Human Priors over Social and Navigation Networks
1094. ICML 2023Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
1095. ICML 2023Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
1096. ICML 2023Robust and private stochastic linear bandits
1097. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
1098. ICML 2023Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
1099. ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
1100. ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.

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。