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
301 papers, page 2 of 7
- CVPR 2023Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting
- CVPR 2023Scalable, Detailed and Mask-Free Universal Photometric Stereo
- CVPR 2023Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
- CVPR 2023SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
- CVPR 2023SparsePose: Sparse-View Camera Pose Regression and Refinement
- CVPR 2023Spatial-Temporal Concept Based Explanation of 3D ConvNets
- CVPR 2023SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
- CVPR 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
- CVPR 2023Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
- CVPR 2023Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
- CVPR 2023StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
- CVPR 2023StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator
- CVPR 2023SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage
- CVPR 2023Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution
- CVPR 2023Towards Practical Plug-and-Play Diffusion Models
- CVPR 2023Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
- CVPR 2023Tracking Through Containers and Occluders in the Wild
- CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
- ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
- ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
- ICLR 2023A law of adversarial risk, interpolation, and label noise
- ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
- ICLR 2023Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
- ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
- ICLR 2023Avoiding spurious correlations via logit correction
- ICLR 2023Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
- ICLR 2023Compositional Law Parsing with Latent Random Functions
- ICLR 2023Concept Gradient: Concept-based Interpretation Without Linear Assumption
- ICLR 2023Continuous-time identification of dynamic state-space models by deep subspace encoding
- ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
- ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
- ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
- ICLR 2023DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
- ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
- ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- ICLR 2023Expressive Monotonic Neural Networks
- ICLR 2023Fairness and Accuracy under Domain Generalization
- ICLR 2023FIGARO: Controllable Music Generation using Learned and Expert Features
- ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
- ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
- ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
- ICLR 2023Holistic Adversarially Robust Pruning
- ICLR 2023How I Learned to Stop Worrying and Love Retraining
- ICLR 2023How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
- ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
- ICLR 2023Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
- ICLR 2023Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
- ICLR 2023Interpretability with full complexity by constraining feature information
- ICLR 2023Label-free Concept Bottleneck Models
- ICLR 2023Learning Vortex Dynamics for Fluid Inference and Prediction
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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.