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

301 papers, page 3 of 7

101. ICLR 2023Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
102. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
103. ICLR 2023Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
104. ICLR 2023Martingale Posterior Neural Processes
105. ICLR 2023Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
106. ICLR 2023MultiViz: Towards Visualizing and Understanding Multimodal Models
107. ICLR 2023On Accelerated Perceptrons and Beyond
108. ICLR 2023On Explaining Neural Network Robustness with Activation Path
109. ICLR 2023On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
110. ICLR 2023On The Specialization of Neural Modules
111. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
112. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
113. ICLR 2023Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
114. ICLR 2023Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
115. ICLR 2023Post-hoc Concept Bottleneck Models
116. ICLR 2023Progress measures for grokking via mechanistic interpretability
117. ICLR 2023Riemannian Metric Learning via Optimal Transport
118. ICLR 2023Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
119. ICLR 2023Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
120. ICLR 2023Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
121. ICLR 2023Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
122. ICLR 2023Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
123. ICLR 2023TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
124. ICLR 2023Training language models to summarize narratives improves brain alignment
125. ICLR 2023Understanding and Adopting Rational Behavior by Bellman Score Estimation
126. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
127. ICML 2023A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
128. ICML 2023A Law of Robustness beyond Isoperimetry
129. ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
130. ICML 2023A Study on Transformer Configuration and Training Objective
131. ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
132. ICML 2023abess: A Fast Best-Subset Selection Library in Python and R
133. ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
134. ICML 2023Adaptive Coordination in Social Embodied Rearrangement
135. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
136. ICML 2023Are Equivariant Equilibrium Approximators Beneficial?
137. ICML 2023Bandit Online Linear Optimization with Hints and Queries
138. ICML 2023Bandits with Knapsacks: Advice on Time-Varying Demands
139. ICML 2023Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
140. ICML 2023Better Training of GFlowNets with Local Credit and Incomplete Trajectories
141. ICML 2023Bootstrap in High Dimension with Low Computation
142. ICML 2023Brauer's Group Equivariant Neural Networks
143. ICML 2023Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
144. ICML 2023Consistency of Multiple Kernel Clustering
145. ICML 2023Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
146. ICML 2023Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
147. ICML 2023Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
148. ICML 2023Discover and Cure: Concept-aware Mitigation of Spurious Correlation
149. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
150. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization

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.