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 56 of 69
- ICML 2024GNNs Also Deserve Editing, and They Need It More Than Once
- ICML 2024Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
- ICML 2024Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
- ICML 2024Grokking Group Multiplication with Cosets
- ICML 2024High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
- ICML 2024High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost
- ICML 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
- ICML 2024How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
- ICML 2024Imitation Learning from Purified Demonstrations
- ICML 2024Improving Neural Additive Models with Bayesian Principles
- ICML 2024Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
- ICML 2024InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
- ICML 2024Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
- ICML 2024Interpretability Illusions in the Generalization of Simplified Models
- ICML 2024Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF
- ICML 2024Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
- ICML 2024KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
- ICML 2024Language Models Represent Beliefs of Self and Others
- ICML 2024Large Language Models are Geographically Biased
- ICML 2024LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
- ICML 2024Learning and Forgetting Unsafe Examples in Large Language Models
- ICML 2024Learning to Intervene on Concept Bottlenecks
- ICML 2024Light and Optimal Schrödinger Bridge Matching
- ICML 2024LLaGA: Large Language and Graph Assistant
- ICML 2024Local vs. Global Interpretability: A Computational Complexity Perspective
- ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
- ICML 2024MGit: A Model Versioning and Management System
- ICML 2024Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
- ICML 2024Model Assessment and Selection under Temporal Distribution Shift
- ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
- ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
- ICML 2024NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
- ICML 2024Observable Propagation: Uncovering Feature Vectors in Transformers
- ICML 2024Offline Training of Language Model Agents with Functions as Learnable Weights
- ICML 2024On a Combinatorial Problem Arising in Machine Teaching
- ICML 2024On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning
- ICML 2024On the Implicit Bias of Adam
- ICML 2024Optimally Improving Cooperative Learning in a Social Setting
- ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
- ICML 2024Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
- ICML 2024OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
- ICML 2024Partial Optimality in the Linear Ordering Problem
- ICML 2024Performative Prediction with Bandit Feedback: Learning through Reparameterization
- ICML 2024Perturb-and-Project: Differentially Private Similarities and Marginals
- ICML 2024Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach
- ICML 2024PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
- ICML 2024Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
- ICML 2024Position: AI/ML Influencers Have a Place in the Academic Process
- ICML 2024Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
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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.