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 52 of 69
- CVPR 2024Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
- CVPR 2024Face2Diffusion for Fast and Editable Face Personalization
- CVPR 2024Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
- CVPR 2024Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
- CVPR 2024FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
- CVPR 2024FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
- CVPR 2024FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
- CVPR 2024FREE: Faster and Better Data-Free Meta-Learning
- CVPR 2024From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
- CVPR 2024From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
- CVPR 2024GART: Gaussian Articulated Template Models
- CVPR 2024General Point Model Pretraining with Autoencoding and Autoregressive
- CVPR 2024Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
- CVPR 2024Generative Proxemics: A Prior for 3D Social Interaction from Images
- CVPR 2024GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
- CVPR 2024HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
- CVPR 2024Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
- CVPR 2024High-Quality Facial Geometry and Appearance Capture at Home
- CVPR 2024HOI-M^3: Capture Multiple Humans and Objects Interaction within Contextual Environment
- CVPR 2024Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics
- CVPR 2024ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
- 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
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Social aspects · accountability transparency and interpretability papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "social-accountability-transparency-and-interpretability"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.