Social aspects · accountability transparency and interpretability papers, 2023–2026
Social aspect: accountability_transparency_and_interpretability
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,411 papers are tagged with this topic.
Key findings
- Social aspects · accountability transparency and interpretability went from 301 papers in 2023 to 1,357 in 2026, roughly 4.5x in three years.
- NeurIPS publishes the most Social aspects · accountability transparency and interpretability work: 1,275 papers from 2023 to 2026, 37% of the four-venue total.
- The fastest-growing overlap is with Social aspects · privacy: papers tagged with both rose from 0 in 2023 to 93 in 2026.
- Among the 5 topics under Alignment and Responsible AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.5x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Social aspects · accountability transparency and interpretability papers
3,411 papers, page 67 of 69
- ICML 2023Robust and private stochastic linear bandits
- ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
- ICML 2023Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
- ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
- ICML 2023Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
- ICML 2023SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
- ICML 2023Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
- ICML 2023Simple Disentanglement of Style and Content in Visual Representations
- ICML 2023Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
- ICML 2023Spurious Valleys and Clustering Behavior of Neural Networks
- ICML 2023Statistical Inference and A/B Testing for First-Price Pacing Equilibria
- ICML 2023Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
- ICML 2023Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
- ICML 2023System Identification of Neural Systems: If We Got It Right, Would We Know?
- ICML 2023The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
- ICML 2023The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
- ICML 2023The SSL Interplay: Augmentations, Inductive Bias, and Generalization
- ICML 2023Thompson Sampling with Less Exploration is Fast and Optimal
- ICML 2023Tight and fast generalization error bound of graph embedding in metric space
- ICML 2023Tilted Sparse Additive Models
- ICML 2023Towards a Persistence Diagram that is Robust to Noise and Varied Densities
- ICML 2023Towards Explaining Distribution Shifts
- ICML 2023Towards Reliable Neural Specifications
- ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
- ICML 2023Trainability, Expressivity and Interpretability in Gated Neural ODEs
- ICML 2023Uncertain Evidence in Probabilistic Models and Stochastic Simulators
- ICML 2023Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
- ICML 2023Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
- ICML 2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- NeurIPS 2023[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
- NeurIPS 2023[Re] VAE Approximation Error: ELBO and Exponential Families
- NeurIPS 2023A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
- NeurIPS 2023A normative theory of social conflict
- NeurIPS 2023A Robust and Opponent-Aware League Training Method for StarCraft II
- NeurIPS 2023Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
- NeurIPS 2023Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
- NeurIPS 2023Auxiliary Losses for Learning Generalizable Concept-based Models
- NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
- NeurIPS 2023Bridging Discrete and Backpropagation: Straight-Through and Beyond
- NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
- NeurIPS 2023D-Separation for Causal Self-Explanation
- NeurIPS 2023D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
- NeurIPS 2023DISCOVER: Making Vision Networks Interpretable via Competition and Dissection
- NeurIPS 2023Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
- NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
- NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
- NeurIPS 2023Double Auctions with Two-sided Bandit Feedback
- NeurIPS 2023Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
- NeurIPS 2023Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
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FAQ
- How many Social aspects · accountability transparency and interpretability papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 3,411 in total: 301 in 2023, 589 in 2024, 1,164 in 2025, 1,357 in 2026.
- How many Social aspects · accountability transparency and interpretability papers are at NeurIPS 2026?
- NeurIPS 2026 has 416 Social aspects · accountability transparency and interpretability papers, versus 522 the year before.
- How many Social aspects · accountability transparency and interpretability papers are at ICLR 2026?
- ICLR 2026 has 292 Social aspects · accountability transparency and interpretability papers, versus 211 the year before.
- How many Social aspects · accountability transparency and interpretability papers are at ICML 2026?
- ICML 2026 has 541 Social aspects · accountability transparency and interpretability papers, versus 337 the year before.
- How many Social aspects · accountability transparency and interpretability papers are at CVPR 2026?
- CVPR 2026 has 108 Social aspects · accountability transparency and interpretability papers, versus 94 the year before.
- Which conference publishes the most Social aspects · accountability transparency and interpretability papers?
- NeurIPS, with 1,275 papers from 2023 to 2026.