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
589 papers, page 2 of 12
- CVPR 2024Infrared Small Target Detection with Scale and Location Sensitivity
- CVPR 2024Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
- CVPR 2024Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
- CVPR 2024Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
- CVPR 2024JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
- CVPR 2024Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
- CVPR 2024Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
- CVPR 2024ManiFPT: Defining and Analyzing Fingerprints of Generative Models
- CVPR 2024Memory-Scalable and Simplified Functional Map Learning
- CVPR 2024Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
- CVPR 2024Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
- CVPR 2024Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
- CVPR 2024Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
- CVPR 2024Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration
- CVPR 2024Objects as Volumes: A Stochastic Geometry View of Opaque Solids
- CVPR 2024OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
- CVPR 2024Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
- CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
- CVPR 2024OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
- CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
- CVPR 2024Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
- CVPR 2024Purified and Unified Steganographic Network
- CVPR 2024QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
- CVPR 2024RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
- CVPR 2024Segment and Caption Anything
- CVPR 2024Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
- CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
- CVPR 2024Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
- CVPR 2024SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
- CVPR 2024SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
- CVPR 2024SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
- CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- CVPR 2024SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
- CVPR 2024Synergistic Global-space Camera and Human Reconstruction from Videos
- CVPR 2024SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
- CVPR 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
- CVPR 2024Towards Accurate and Robust Architectures via Neural Architecture Search
- CVPR 2024Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline
- CVPR 2024TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
- CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
- CVPR 2024Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
- CVPR 2024Unifying Automatic and Interactive Matting with Pretrained ViTs
- CVPR 2024Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
- CVPR 2024Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
- CVPR 2024Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
- CVPR 2024VAREN: Very Accurate and Realistic Equine Network
- CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
- CVPR 2024WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
- CVPR 2024WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts
- ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
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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.