Social aspects · accountability transparency and interpretability papers, 2023–2026

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.

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 64 of 69

3151. CVPR 2023Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
3152. CVPR 2023PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
3153. CVPR 2023Post-Training Quantization on Diffusion Models
3154. CVPR 2023Prefix Conditioning Unifies Language and Label Supervision
3155. CVPR 2023Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives
3156. CVPR 2023Reliable and Interpretable Personalized Federated Learning
3157. CVPR 2023Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
3158. CVPR 2023Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
3159. CVPR 2023Revisiting Rotation Averaging: Uncertainties and Robust Losses
3160. CVPR 2023RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor
3161. CVPR 2023Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting
3162. CVPR 2023Scalable, Detailed and Mask-Free Universal Photometric Stereo
3163. CVPR 2023Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
3164. CVPR 2023SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
3165. CVPR 2023SparsePose: Sparse-View Camera Pose Regression and Refinement
3166. CVPR 2023Spatial-Temporal Concept Based Explanation of 3D ConvNets
3167. CVPR 2023SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
3168. CVPR 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
3169. CVPR 2023Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
3170. CVPR 2023Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
3171. CVPR 2023StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
3172. CVPR 2023StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator
3173. CVPR 2023SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage
3174. CVPR 2023Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution
3175. CVPR 2023Towards Practical Plug-and-Play Diffusion Models
3176. CVPR 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
3177. CVPR 2023Tracking Through Containers and Occluders in the Wild
3178. CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
3179. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
3180. ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
3181. ICLR 2023A law of adversarial risk, interpolation, and label noise
3182. ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
3183. ICLR 2023Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
3184. ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
3185. ICLR 2023Avoiding spurious correlations via logit correction
3186. ICLR 2023Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
3187. ICLR 2023Compositional Law Parsing with Latent Random Functions
3188. ICLR 2023Concept Gradient: Concept-based Interpretation Without Linear Assumption
3189. ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
3190. ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
3191. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
3192. ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
3193. ICLR 2023DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
3194. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
3195. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
3196. ICLR 2023Expressive Monotonic Neural Networks
3197. ICLR 2023Fairness and Accuracy under Domain Generalization
3198. ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
3199. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
3200. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs

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.